From putting nuclear reactors on barges to grading how well AI models can control robots, this month’s crop of interesting startup deals takes AI and other emerging technologies well beyond the conventional software stack.

Other companies that caught our eye are applying automation to the decidedly old-school worlds of building-material procurement, commercial property maintenance and farm recordkeeping. Let’s take a closer look.

$50M to put nuclear power at sea

Nuclear power plants are famously difficult and time-consuming to build. thinks putting them on barges could offer another way.

The Long Beach, California-based startup raised what it says was an oversubscribed $50 million seed round led by , just two months after emerging from stealth with $10 million in pre-seed funding. The of investors in the deal included , , , and others.

Bluecore is developing compact, water-cooled small modular reactors designed to operate aboard floating barges. Rather than spending years constructing a new power plant and the accompanying infrastructure on land, the idea is to manufacture the systems and move them to where electricity is needed.

“Our focus is simple. Create and deliver zero-emission energy as safely and quickly as possible,” CEO and founder wrote in a social media . “Over 3 billion people live within an hour of water. We want to power them all.”

Its first target is the Port of Long Beach, with other ports and power-hungry AI data centers among the potential customers. The company says it’s working with the and as it pursues certification.

Bluecore’s raise comes amid a broader nuclear funding boom. Nuclear fission startups alone pulled in roughly $2 billion in venture funding in 2025, per ���ϳԹ� data, and investors have continued writing enormous checks this year. More broadly, cleantech-, EV- and sustainability-focused startups raised about $15 billion in the first half of 2026, with second-quarter funding reaching its highest quarterly level since 2024.

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$31M to bring AI to the building-materials business

Ordering cement and steel might not sound like an obvious AI use case, but Saudi Arabia-based sees a lot of room for improvement.

The Riyadh startup last week said it had secured $31 million in new capital, consisting of a $13 million Series B equity round co-led by , ’s venture arm, and , plus an $18 million growth-debt commitment from under a previously announced facility. The company has now raised more than $83 million, .

BRKZ operates a marketplace that connects construction companies with suppliers of building materials, while also handling sourcing, logistics and financing. More interestingly, it says it has amassed some 38 million structured data points that power an AI pricing engine trained on roughly 40,000 requests for quotes.

The company says 84% to 89% of its predicted prices come within 5% of the eventual transaction price. Another AI agent reads photos of cement delivery notes sent through , matches them to orders and verifies deliveries — with roughly three-quarters processed without human intervention.

BRKZ is riding a in Saudi Arabia even as startup investors remain selective about construction and property technology more broadly. Global proptech startups raised about $6.5 billion via roughly 640 deals in the first half 2026, ���ϳԹ� data shows. That’s on pace to top last year’s dollar figures, even as deal count has dipped this year. Similar to other startup sectors, investors in proptech are increasingly directing capital toward companies using AI and automation to cut costs and streamline operations.

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$24M for robots to take care of commercial properties

Robots are already assembling cars and moving packages around warehouses. wants them to also mow lawns and sweep parking lots —��and do security patrols of those properties while they’re at it.

The Santa Clara, California-based autonomous robotics startup last week said it has raised a $24 million Series A led by to scale its fleet of robots designed to handle outdoor property maintenance for commercial real estate owners and operators.

Its machines combine autonomous navigation with attachments that allow them to perform jobs like sweeping, debris removal and landscaping tasks — all while conducting “soft security” — across large campuses and commercial properties.

Rather than trying to build a general-purpose humanoid robot, Viabot is applying autonomy to repetitive jobs that property owners already pay people and contractors to perform. The startup, which operates on a “robot as a service model,” sees an opportunity to fill a labor shortage for what’s often considered “dirty, dull and dangerous” outdoor work, , founding partner at , told ���ϳԹ� News in 2021, when the company raised earlier funding.

Startup investors are pouring money into those sorts of real-world AI applications. Global venture funding to physical AI companies — including robotics, autonomous vehicles, aerospace, drones, industrial automation and sensors — reached $47.4 billion across 521 deals in the first half of 2026, ���ϳԹ� data shows. That’s nearly 4x the $12 billion invested in the second half of 2025 and almost 80% above the year-ago period.

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$10M to give AI robots an independent report card

As frontier AI models move from controlling software to controlling robots and machines in the real world, wants the public to have an independent way to understand what they can actually do.

The 3-month-old San Francisco startup announced last week that it raised a $10 million seed round led by , with participation from , , and others.

Robocurve says it wants to act as an independent third-party auditor for physical AI, testing how well frontier models can control real robots and publicly reporting the results. The company says its own research has already found that general-purpose large language models can outperform specialized robotics vision-language-action models on some simple tasks.

Importantly, Robocurve isn’t positioning itself as a conventional robotics benchmarking startup. It is incorporated as a Public Benefit Corporation with a legal duty to independently evaluate the robotics capabilities of frontier AI systems and report those findings to the public.

The company says AI labs don’t dictate its research agenda, evaluation methodology or published results, and it plans to work with governments, policymakers and civil society as robot capabilities advance.

Academia is a big part of that model, too. Rather than developing every benchmark itself, Robocurve funds academic teams and supplies them with robot hardware to create open-source benchmarks. More than 200 institutions — including researchers from 19 of the world’s top 20 universities, according to the company — have signed up for its benchmarking program. Robocurve is offering a combined $500,000 in funding plus free robotic arms to participating academic groups.

Its funding is timely given the massive influx of capital pouring into robotics and physical AI. Within the broader physical AI sector, robotics startups alone raised more than $21 billion globally in the first half of 2026, ���ϳԹ� data shows, already eclipsing the nearly $16 billion raised in all of 2025 and even the $15.3 billion invested during the venture market’s 2021 peak.

As ever more powerful models move from screens into machines capable of manipulating the physical world, figuring out what those models can — and can’t — safely do becomes a more consequential problem.

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$5M to let farmers talk instead of type

A lot of agricultural software has one basic problem: Farmers don’t spend their days sitting at desks.

With that in mind, this month raised a $5 million pre-seed round led by for a voice-first AI platform designed specifically for farmers, agronomists and other agricultural workers.

Instead of asking someone working in a vineyard or almond orchard to stop and fill out a form or type notes into a computer, Tellia enables them to leave a voice note, send a message, or even submit a photo to log records, generate reports and set reminders. It says its AI then turns that unstructured information into records associated with the correct field, crop and crew.

For example, for a livestock farmer that might mean a voice prompt like: “Tellia, the vet just checked Herd 3. All clear, next health check due in 6 weeks, log that.”

Or a vineyard manager might ask: “Tellia, based on this year’s Brix and pH logs, what’s the projected alcohol level for the Cabernet lot?” and receive an instant answer based on previously collected data.

San Francisco- and Paris-based Tellia was founded last year and says its technology is already deployed across 1 million acres, including at and wineries in the U.S., as well as agricultural organizations in Europe.

and also participated in its latest funding.

Its raise comes amid a much tougher environment for agtech startups overall. Venture investment in agriculture and farming remains in a correction from its 2021 peak, when startups in the space raised $10.5 billion across more than 1,400 deals, ���ϳԹ� data shows. That makes companies applying increasingly cheap and accessible AI to specific, everyday farming problems an interesting corner to watch. Voice AI, in particular, has emerged as one of the hot spots in artificial intelligence funding in recent years.

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Related reading:

• Sector Snapshot: Robotics Startups On Fire As Venture Funding Surges To Record Numbers In 2026
• VCs Pour Billions Into Physical AI As The Next Wave Of AI Investing Takes Shape
• Sector Snapshot: Agtech Startups Face A Drier Funding Climate
• Why Big Investors Are All Ears For Voice AI Startups

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Always-busy was the most active backer of U.S.-based startups by deal count, while led or co-led the most rounds of $5 million or more, ���ϳԹ� data shows.

Chip giant , meanwhile, sharply accelerated its dealmaking, ranking among the most active and highest-spending investors for the month. The chip giant participated in nine disclosed rounds of at least $5 million — marking its busiest month for investing since at least the beginning of 2025 — and led or co-led financings collectively valued at $1.3 billion.

The flurry of activity came as global venture funding reached $42 billion in August, up 122% year over year, with seven companies raising billion-dollar-plus rounds last month.

Below, we rank August’s most active startup investors across several categories, including lead backers, prolific venture dealmakers, highest spenders and seed investors.

Active lead investors

San Francisco-based General Catalyst ranked as the most active lead investor in rounds of $5 million or more, leading or co-leading five such deals. Its largest was the $1.1 billion Series A for, which provides custom AI fine-tuning for businesses. General Catalyst also led or co-led a $116 million Series E for, along with three seed rounds ranging from $10 million to $25 million, ���ϳԹ� data shows.

, and tied for second, with four lead or co-lead deals each.

The scale of those rounds varied considerably. The four deals that Andreessen led or co-led totaled more than $1.15 billion, driven by an $800 million Series C for defense tech company and a $300 million Series A for AI infrastructure startup .

Sequoia’s four led or co-led deals totaled $1.3 billion, including a $1 billion Series B for nuclear energy startup .

Busiest venture investors

When we widen the ranking to include both lead and non-lead participation in rounds of $5 million or more, Y Combinator once again takes the top spot.

The accelerator participated in at least 18 such deals in August, per ���ϳԹ� data. As we’ve noted in previous rankings, Y Combinator commonly invests as a non-lead backer in follow-on rounds for companies that previously went through its program.

Andreessen Horowitz ranked second with 13 deals, followed by General Catalyst with 10. and Nvidia tied for fourth with nine each.

Nvidia’s rise in the investor rankings is particularly notable. The Santa Clara, California-based chip giant participated in only four U.S. rounds of $5 million or more in July and one in August 2025. Seven of its nine qualifying investments last month went to companies categorized as AI-focused in ���ϳԹ�, including River AI, , , and .

The August burst extends a notable increase in Nvidia’s venture dealmaking pace this year. ���ϳԹ� data shows that by mid-August, it had participated in a record 59 known startup funding rounds in 2026, already surpassing its 53 investments in all of 2025. It had also led or co-led at least 11 private-company financings this year, underscoring its growing role as both a technology supplier to and financial backer of the AI startup ecosystem.

and Sequoia were next in our August rankings, each with seven U.S. startup investments of $5 million or more. RA Capital’s portfolio reflected its life sciences focus, with August deals including , , , and .

Highest-spending investors

The rankings change again when we look at lead investors associated with the highest aggregate deal values.

For August, was the apparent spendiest lead investor, thanks to its role leading ’ $5 billion deal. The round, the month’s largest, valued the data and AI company at $190 billion.

and followed, each leading or co-leading rounds with an aggregate value of $2.37 billion, as both were listed as lead investors in defense manufacturing startup’s $1.37 billion Series D and home battery provider’s $1 billion Series D.

Nvidia and Sequoia came next, each with $1.3 billion in led or co-led rounds. Nvidia’s total came from Poolside’s $1 billion financing and Volta’s $300 million Series A, while Sequoia led or co-led four rounds, topped by the Valar Atomics financing.

General Catalyst and Andreessen also crossed the $1 billion mark, with approximately $1.26 billion and $1.15 billion, respectively, in aggregate led round value.

As always, this is an approximation of spending rather than a tally of capital actually contributed. Investors rarely disclose how much each participant put into a round, although lead investors generally contribute a substantial share.

Seed dealmakers

At seed, Y Combinator was again the most prolific investor, backing at least 12 U.S.-headquartered companies in August.

ranked second with eight seed investments, all announced as part of the same August cohort. and followed with six seed deals each, while 1��recorded five. (It’s important to note that seed rankings are especially subject to change, since smaller financings often take longer to be reported and added to the ���ϳԹ� dataset.)

Big checks, familiar names

August’s rankings tell a now-familiar story: A relatively small group of large venture firms continues to dominate by deal count, while a handful of megadeals determines who tops the spending ranks. But Nvidia’s acceleration this year also illustrates how corporate investors — particularly those with a direct stake in the AI ecosystem — are becoming increasingly prominent alongside traditional venture firms.

Related reading:

• Global Venture Funding Jumps 122% In August As Streak Of Billion-Dollar Deals Continues
• No Summer Doldrums For Active Startup Investors In July

Methodology

This analysis covers reported investments in U.S.-headquartered companies and is based on ���ϳԹ� data pulled Sept. 10, 2026. Rankings for active venture and lead investors include rounds of $5 million or more. Seed rankings include angel, pre-seed, seed and equity crowdfunding rounds.

Funding data is subject to reporting lags, which are typically most pronounced at the seed stage.

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This is a weekly feature that runs down the week’s Top 10 announced funding rounds in the U.S. Check out last week’s biggest funding deal roundup here.

It was a monster week for U.S. startup funding, with four companies each raising $1 billion or more. ’s tunnel-drilling company led with a $3 billion Series D, followed by AI coding startup at $2 billion. Joining them near the top was , which landed $1.3 billion for its AI platform for physical operations, while reusable rocket developer raised another $1 billion.

Big checks also flowed to U.S. solar manufacturing, defense tech, legal AI and companies building the chips and networking infrastructure needed for artificial intelligence.

1. , $3B, transportation and infrastructure: Musk’s Bastrop, Texas-based tunneling company raised a $3 billion Series D led by the, with participation from investors including, and. The company is developing underground tunnel networks designed to move passengers and vehicles while reducing surface traffic, and already operates its Vegas Loop system beneath Las Vegas. The latest deal values it at $23 billion and brings its total funding to nearly $3.9 billion, .

2. , $2B, artificial intelligence: San Francisco-based Cognition raised a $2 billion Series E led by,,, and. The company is best known for Devin, its autonomous software-engineering agent, and is part of a highly funded crop of startups betting AI agents will take over increasingly complex coding and development work. Cognition has raised nearly $3.9 billion to date and was valued at $48 billion in the latest round, our shows.

3. , $1.3B, AI for physical operations: San Francisco-based Motive raised $1.3 billion in private equity funding led by. The company, formerly known as KeepTruckin, has an AI-driven platform used by trucking, construction and other physical-economy businesses to manage fleets, monitor driver safety, and automate operations and spending. The latest deal brings Motive’s total funding to just over $2 billion, according to .

4. , $1B, aerospace: Kent, Washington-based Stoke Space raised a $1 billion Series E co-led by and, with among the additional investors. The company is developing fully reusable rockets, including its Nova launch vehicle, as it looks to lower the cost of transporting satellites and other payloads to orbit. The latest round values Stoke at $10 billion and brings total funding to . Its raise adds to the already record-setting sums for space tech startup investment this year.

5. , $835M, solar energy: Norcross, Georgia-based Suniva raised $835 million from investors including, and. The longtime U.S. solar manufacturer produces high-efficiency solar cells and plans to use new capital to expand domestic production, including a new South Carolina facility that would more than quadruple its manufacturing capacity. Suniva has raised nearly .

6. , $600M, defense tech: Huntington Beach, California-based Mach Industries raised a $600 million Series C from investors including and. Founded in 2022, the defense manufacturer develops unmanned aircraft, long-range weapons, propulsion technology and the infrastructure needed to produce defense systems at scale. Mach is part of a broader surge in venture investment into defense companies looking to bring Silicon Valley-style development and manufacturing speeds to military hardware. The latest round values the company at $3.7 billion and brings its total funding to .

7. , $550M, legal AI: San Francisco-based Harvey raised a $550 million Series H co-led by and, with investors including and also participating. Harvey builds generative AI tools for lawyers and other professional-services workers, with products for legal research, document analysis and contract work. The company was valued at $15.5 billion in the latest deal, which brings its total funding to date to nearly . That makes it one of the most well-funded players in the legal tech space, which has seen robust investment this year, though slightly lower than last year’s all-time high.

8. (tied) , $500M, semiconductors: Fab2 raised a $500 million Series A led by, with among the other investors. Formerly known as Atomic Semi, Fab2 is trying to rethink semiconductor manufacturing by designing its own fabrication tools, components and software with the goal of building smaller chip factories faster and more cheaply. The funding is the first disclosed round for the company, which maintains headquarters in California and Kentucky, and values it at $3.7 billion.

8. (tied) , $500M, AI infrastructure: Reno, Nevada-based Positron raised a $500 million Series C led by and, with among its other investors. The startup develops purpose-built hardware for AI inference, where models actually process queries after they have been trained, and is one of a growing crop of chip companies challenging GPUs in particular AI workloads. The latest financing values Positron at $5 billion and brings its total funding to nearly $1.2 billion, .

10. (tied) , $275M, AI networking infrastructure: Laguna Beach, California-based Celero Communications raised a $275 million Series C led by, and. Celero develops coherent digital signal processor technology that helps move enormous quantities of data between chips and data centers while using less power, an increasingly critical bottleneck as AI clusters grow. The round values the company at $3 billion and brings total funding to roughly , according to ���ϳԹ�.

10. (tied) , $275M, biotechnology: South San Francisco, California-based Encoded Therapeutics raised a $275 million Series F led by, with investors including, and also participating. The clinical-stage biotech develops precision genetic medicines for severe neurological disorders, with its lead therapy targeting Dravet syndrome, a rare genetic epilepsy. Encoded has raised $514.1 million to date, .

Methodology

We tracked the largest announced rounds in the ���ϳԹ� database that were raised by U.S.-based companies for the period of Sept. 5-11, 2026. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

Related reading:

• Sector Snapshot: Space Tech Startup Funding Orbits New Highs��
• Anduril Raises Another $5B As Defense Tech Startups Shatter Funding Records
• Sector Snapshot: Legal Tech Funding Down Slightly From All-Time High��
• Sector Snapshot: Semiconductor Startup Funding Still Running Hot

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This is a weekly feature that runs down the week’s top 10 announced funding rounds in the U.S. Check out last week’s biggest funding deal roundup here.

AI infrastructure dominated the largest venture rounds this week, with two multibillion-dollar deals in the sector taking the top spots. Data center and cloud provider led with a massive $3 billion financing, followed by ’s $1.5 billion raise. Further down the list, AI inference startup landed $300 million, joining a diverse group of big fundings spanning cybersecurity, robotics, food, HR software, payments and healthcare.

1. , $3B, AI infrastructure: Denver-based Crusoe raised a $3 billion Series F co-led by and, with also participating. Originally founded to use stranded natural gas to power cryptocurrency mining, Crusoe has transformed into a major AI cloud and data center provider serving customers including , and . The company has raised nearly $7.2 billion to date, and the latest financing values it at $30 billion — triple its valuation less than a year ago — according to ���ϳԹ�.

2. , $1.5B, AI infrastructure: New York-based Fluidstack raised $1.5 billion in a private equity round led by, bringing the AI infrastructure company’s total funding to just over $2.6 billion. Fluidstack provides large-scale GPU and data center infrastructure for demanding AI workloads and has emerged as one of a growing group of companies spending heavily to meet soaring compute demand for AI. The financing values the company at $18 billion.

3. (tied) , $300M, AI infrastructure: San Francisco-based Gimlet Labs raised a $300 million Series B led by, with investors including ,, and . Gimlet is building an AI inference cloud that distributes workloads across different types of chips, an approach aimed at making the increasingly compute-intensive process of running AI models faster and more efficient. The company has raised $392 million to date and was valued at $3 billion in the latest round, .

3. (tied) , $300M, cybersecurity: San Francisco-based Upwind Security raised $300 million in new funding co-led by and. Other investors included 1,, and . The company’s platform uses real-time cloud runtime data to identify threats and vulnerabilities, putting it at the intersection of two particularly well-funded areas: cloud security and AI. Upwind has raised $730 million to date and was valued at $3.8 billion in this latest deal.

5. , $250M, food and nutrition: New York-based high-protein food company David raised a $250 million Series B co-led by and., and company co-founder also participated. Best known for its high-protein, low-calorie bars, David has expanded into other protein-focused foods as consumers continue gravitating toward products marketed around protein and metabolic health. The company has raised $335 million and was valued at $2.25 billion in the latest round.

6. , $166M, HR software: New York-based HiBob raised $166 million in a round led by, with also participating. HiBob’s Bob platform combines HR, payroll, benefits and employee-management tools, and the company is increasingly positioning its workforce data as a foundation for enterprise AI applications. The latest deal brings its total funding to $740 million and values the company at $3.2 billion.

7. , $165M, robotics and physical AI: Sunnyvale, California-based Lyte AI raised a $165 million Series C led by, with participation from,, and. Founded by former engineers, Lyte develops custom silicon, sensors and AI software that help robots perceive and understand their surroundings, the kind of technology that underpins the fast-growing physical AI sector. Lyte has now raised $272 million to date, , and was valued at $1.6 billion in the Series C.

8. , $155M, fintech and payments: Mountain View, California-based TabaPay secured $155 million in growth financing led by. The company provides money-movement infrastructure that helps banks and fintech companies instantly disburse, collect and transfer funds. The company announced the latest funding as it also of federally chartered , a move that could deepen its role in payments infrastructure. TabaPay’s new round follows a Series A of an undisclosed amount back in 2022.

9. , $125M, health care and oncology: Nashville, Tennessee-based Thyme Care raised a $125 million Series E led by , the healthcare investment arm of . Other backers included, and, among others. Thyme Care works with health plans, employers and providers to coordinate cancer treatment and manage oncology care, part of a broader shift toward value-based specialty care. The company has now raised $399 million in total and was valued at $2 billion in the latest round.

10. , $100M, AI cybersecurity: Austin-based HiddenLayer raised a $100 million Series B led by.,, and also participated. HiddenLayer builds security tools designed specifically to protect AI models, agents and workflows from attacks and vulnerabilities, a category gaining urgency as enterprises move AI systems into production. The company has raised $156.2 million to date, .

Methodology

We tracked the largest announced rounds in the ���ϳԹ� database that were raised by U.S.-based companies for the period of Aug. 29-Sept. 4, 2026. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

Related reading:

• Former Apple Engineers’ Physical AI Startup Lyte Raises $165M At $1.6B Valuation
• VCs Pour Billions Into Physical AI As The Next Wave Of AI Investing Takes Shape

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����ܲԳ����������’s predictive intelligence tools flags a handful of well-funded private companies with at least a 40% probability of going public within the next six months. , arguably the most closely watched IPO prospect, sits just outside that near-term screen: ���ϳԹ� considers an eventual listing very likely, but the model favors a six- to 12-month timeline.

Together, Anthropic and the other seven companies noted below make up a varied watchlist spanning artificial intelligence, fintech, crypto, consumer health and climate technology, ranging from smart-ring maker to enterprise productivity platform .

A record IPO sets the stage

In the first half of this year, 58 venture-backed companies listed at $1 billion or above, per ���ϳԹ� data. That compares with 27 that did so in the first half of 2025 and 69 in all of last year.

On a dollar basis, this year has also far surpassed recent IPO years, thanks to SpaceX’s historic IPO in June that launched it onto the and raised $86 billion in the process. Through the first half of 2026, venture-backed startups globally raised $110.8 billion collectively via IPO listings, ���ϳԹ� data shows, well above the $12.6 billion raised in the first half of 2025.

With the year’s end now in sight, a small window remains for other startups to launch 2026 IPOs. With that, here’s a look at notable venture-backed startups that ����ܲԳ����������’s predictive intelligence suggests are potential IPO candidates within the next six months.

Venture-backed IPOs to watch

: Anthropic, the most valuable venture-backed startup in the world, has indicated it plans to beat rival to the public markets. The company could debut as soon as September or October and raise up to $100 billion via the offering, according to a in last week. ����ܲԳ����������’s predictive intelligence tools, meanwhile, pin a slightly longer timeline on an Anthropic IPO, saying it’s more likely to happen in six to 12 months. Anthropic has already raised $125 billion from private-market investors since its founding in 2021, and whenever it happens its IPO would mark a major liquidity bonanza for those backers. (For its part, OpenAI is also deemed a very likely IPO candidate by ���ϳԹ�, but not within the next six months, a prediction corroborated by the WSJ report, which noted that the company is considering pushing its listing to 2027.)

: Smart-ring maker Oura is a likely IPO candidate in the next six months, per ���ϳԹ�. The Finland-based company, which has raised $1.5 billion from investors, is mulling an offering as soon as September or October that could fetch a valuation above the $11 billion it achieved in its most recent funding, the Journal last week. A successful offering would also provide a notable test of public-market appetite for consumer health hardware, a category that has produced relatively few large venture-backed listings in recent years.

: San Francisco-based Notion is a strong candidate for a near-term IPO, according to both ����ܲԳ����������’s predictive tools and independent reporting. The productivity-software maker has raised more than $343 million from investors over time and has posted strong revenue growth from its enterprise AI offerings. Startup reporter Alex Konrad recently that the company has appointed a new board of directors with significant public-company experience in “a big step towards an IPO.”

: Cryptocurrency exchange Kraken is another probable public-market entrant, per ���ϳԹ�, and if it does make the IPO leap, it’s highly likely to do so within the next six months. The Cheyenne, Wyoming-based company filed a confidential IPO registration statement with the almost a year ago, but subsequently paused its going-public plans amid market volatility. In May, CEO said the company was “~80% ready” for a 2026 listing, although it has reportedly weighed delaying again until 2027.

: Following ’ $6.4 billion Nasdaq IPO in May, attention has turned to SambaNova, a fellow developer of specialized AI chips and infrastructure. ���ϳԹ� predicts that the San Jose, California-based company is a probable IPO candidate, with a slightly less than even chance of going public within the next six months. That prediction jibes with comments from co-founder and CEO, who in July that the company was strongly considering a U.S. IPO next year. His comments followed SambaNova’s $1 billion Series F raise this summer at an $11 billion post-money valuation.

: Sweden-based green-steel maker Stegra has raised approximately $12.6 billion across equity and debt financing, according to ���ϳԹ�, including a €1.4 billion financing round that closed in June. in June 2025 that the company was considering an IPO to fund further expansion. Founded in 2020, Stegra has attracted orders from automakers and industrial customers including , , , and parent for steel produced using renewable electricity and green hydrogen. It broke ground in August 2022 on an integrated steel plant in Boden, northern Sweden, whose first phase is designed to produce 2.5 million tonnes of green steel annually. Some customer agreements call for deliveries to begin in 2027, although Stegra has said the project’s overall timeline remains under review. ���ϳԹ� considers Stegra a probable IPO candidate and gives it a roughly even chance of listing within the next six months.

: Stripe is a perennial presence on our IPO predictions lists, and for good reason. Before the AI giants displaced it at the top of The ���ϳԹ� ���ϳԹ�, the payments company held the crown as the most valuable U.S.-based startup, and one with a solid business to boot. Stripe has raised a total of $10.4 billion, including venture rounds and secondaries, since its 2010 founding, but has delayed entering the public markets with repeated tender offers that provide liquidity to employees. Will it finally make a run at the public markets in 2027? While ���ϳԹ� predicts the South San Francisco, California-based company is a very likely IPO candidate in the long-term, in the short run it’s a bit iffier. The model says six to 12 months is a more believable time frame, and CEO has said the company is in .

: OpenEvidence, an AI platform for doctors, is a probable IPO candidate, per ���ϳԹ�. If it does pursue a listing, it’s likely to go public within the next six months, per our predictive intelligence. CEO has been somewhat more circumspect: In an with CNBC in January, he said the Cambridge, Massachusetts-based company would consider an IPO after OpenAI and Anthropic had listed: “There’s an order to nature,” he said. “Foundation model companies go public first. Then the application layer follows. That’s how the internet played out, and that’s how this cycle will play out, too.”

Methodology

For this analysis, we used ����ܲԳ����������’s predictive intelligence tools and our own reporting and analysis to refine a list of potential near-term IPO candidates.

����ܲԳ����������’s use company data — including funding and valuation history, financial growth, key leadership hires, market-share expansion and headcount trends — to assess the likelihood that a private company will go public.

The model produces an overall IPO probability score and corresponding rating, such as “very likely,” “probable” or “uncertain.” For companies that meet a minimum confidence threshold, ���ϳԹ� separately estimates when an IPO might occur across four windows: within six months, six to 12 months, 12 to 24 months, or more than 24 months.

For this analysis, we define a “near-term” candidate as a private company rated at least “probable” overall, with a 40% or greater probability of going public within six months of the prediction date. The overall and timing scores should be read separately: A company may be considered highly likely to IPO eventually without being a strong near-term candidate. Predictions are directional rather than guarantees and may change as new company and market data becomes available.

Related ���ϳԹ� query:

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This month’s installment of this column is all AI, though applications for the technology range widely, from two startups that apply AI to trash or recycling, to another that promises to help people breathe and sleep better, to a company that says its AI can help architects and builders spot commercial projects before they’re even announced. Let’s jump in.

$27M to help recycling plants see what’s in trash

For decades, the recycling industry has relied on sampling and educated guesses to understand what moves through its facilities. But wants every discarded bottle, carton and wrapper to become data.

The London-based startup said last month that it has raised a £20.3 million ($27 million) Series B led by technology investor . The company installs AI-powered camera systems above conveyor belts in recycling plants, then uses computer vision to identify materials, products and brands in real time. Greyparrot says that data helps operators recover more valuable materials, improve sorting efficiency and comply with increasingly strict recycling regulations.

Its systems are now deployed in more than 20 countries and have analyzed more than 1 trillion waste objects, per the company. It counts large waste-processing companies such as and among its customers.

The data gathered at plants also feeds Greyparrot’s Deepnest platform, which it says consumer brands including , and use to understand what happens to their packaging after consumers throw it away, helping to inform redesigns and comply with Extended Producer Responsibility rules in places such as Canada and the EU.

The fresh funding will help expand the company’s footprint across North America and Europe and support its goal of preventing more than 1 million tons of waste by 2030.

The raise reflects growing investor interest in applying AI in the physical world rather than behind computer screens. Companies in the physical AI sector raised nearly $47.3 billion in the first half of 2026, ���ϳԹ� data shows, up nearly 80% year over year, as startups increasingly apply artificial intelligence to settings such as factories, recycling plants and other 3D environments.

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$17M to help robots navigate where GPS can’t

For a recently funded robotics company, the next frontier for physical AI is underground: in mines, tunnels and other places where GPS doesn’t work.

Australian startup said last month that it secured $17 million in new funding. That includes a $10 million equity round backed by , , , and as well as a $7 million venture debt facility from the country’s National Reconstruction Fund Corp. The company plans to scale manufacturing and expand its AI autonomy and cloud mapping platforms.

Emesent is best known for Hovermap, a LiDAR scanning payload that mounts to drones, vehicles or backpacks to create detailed 3D maps of mines, industrial sites and other hazardous environments. But increasingly, the company’s focus is software. Its Cortex AI platform enables robots to navigate autonomously in environments without GPS, while its Aura cloud platform processes and analyzes the resulting spatial data.

The company says its technology is already deployed at more than 200 mine sites worldwide and that it is expanding into the defense, critical infrastructure and construction sectors.

Its raise is another example of increased interest and investment in physical AI. As industries grapple with labor shortages and increasingly dangerous operating environments, startups that combine robotics, computer vision and autonomy are attracting fresh capital to automate work that’s difficult, dirty or unsafe for humans.

Robotics investment funding overall has been on a tear in recent quarters. Startups in the category raised $15 billion globally in 2025 — an annual record that has already been eclipsed partway through 2026 —�����ϳԹ� data shows.

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$12.25M for AI that treats congestion with sound

We’ve covered AI that can do dirty work like help sort through trash or navigate underground mines. What about AI to help people breathe?

San Francisco-based medtech startup recently raised an oversubscribed $12.25 million Series A led by . The company develops FDA-cleared, noninvasive devices that it says use AI and acoustic resonance therapy to treat congestion and improve sleep without drugs.

The company said its flagship Sonu band personalizes sound waves based on a user’s facial anatomy to open nasal passages, while its newer Spatial Sleep device aims to help users fall asleep faster and stay asleep longer.

The raise comes as investors continue to back AI-powered medical devices that combine software with regulated hardware. Companies that intersect ����ܲԳ����������’s AI and medical devices industries raised more than $629 million in the first half of this year, our data shows, up about 33% year over year.

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$3.85M to turn unrecyclable trash into fuel

Trash and recycling emerged as an unexpected theme in this month’s column. While Greyparrot helps companies better understand what’s in landfills and recycling plants, another recently funded company, , says it’s working to turn unrecyclable garbage into industrial fuel.

The Las Vegas-based company last month announced a $3.85 million round co-led by and to commercialize technology that converts hard-to-recycle plastics and other waste into industrial fuel. The startup says its engineered fuel can replace coal in cement, steel and other heavy industries without requiring factories to modify existing equipment. The new funding will help it build its first commercial U.S. biofuel facility outside Las Vegas.

Global venture investment into cleantech-related startups has been steady but not record-breaking in recent years, ���ϳԹ� data shows. Around $15 billion went into rounds for companies in ����ܲԳ����������’s cleantech-, EV- and sustainability-focused categories in the first half of 2026, putting this year’s funding on track to slightly exceed the 2025 tally, which was the lowest in several years.

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$3.5M to predict construction projects before they’re announced

The biggest construction opportunities often surface months before the first request for proposals. promises to use AI to spot them first.

The New York-based startup last month raised $3.5 million in seed funding from ’s accelerator, , and others to build an AI platform for architecture, engineering and construction firms. The startup promises to give such companies an edge over their competitors by helping them discover projects earlier and identify the best path to winning them. Instead of searching public bid databases, Cascade says its tech can analyze signals such as bond filings, property transactions, capital budgets and meeting minutes to identify projects while they’re still taking shape.

Overall funding to real estate-related startups has trended higher in recent quarters, and the sector emerged as a bright spot for seed funding in the first half of 2026, an analysis of ���ϳԹ� data shows. Other seed-funded real estate startups this year have spanned areas ranging from streamlining planning and building processes to real estate investing to reducing power consumption in buildings.

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Correction: The article was updated to reflect Forge Industries’ correct headquarters location.

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Venture investors, luckily, seem to be more upbeat than they have been in years about the future of fitness and wellness. Startup investment in those categories totaled more than $3.6 billion in the first half of this year, putting 2026 on pace to come in about a third higher than 2025, though notably last year marked the lowest sum for wellness-related startup funding in at least six years.

The recent uptick also puts investment into fitness- and wellness-related startups on pace to top each year since 2022, though deals are concentrating into fewer, larger bets.

Largest fundraisers of H1 2026

This year’s funding totals have been driven by a handful of outsized deals, like wearable health tracker ’s $575 million Series G in March.

Other companies that have raised large rounds this year include senior healthcare provider , which raised a $366 million Series F at the beginning of the year, and , which raised a $130 million Series C from investors including in February. Its platform connects patients with professional healthcare advocates who support them through complex medical journeys like cancer, rare-disease management and substance abuse treatment.

Those fundings are markedly different from the hardware plays that received investor attention during the pandemic. For example, connected fitness devices startups and each raised hundreds of millions of dollars during the peak funding years, but haven’t received new investment in three-plus years.

AI gives devices a second act

That doesn’t mean investors have entirely given up on hardware. Rather, the more compelling pitch in 2026 appears to be a device that continuously collects health data and uses AI to turn it into personalized guidance to improve overall wellness and fitness.

Along with Whoop’s Series G, New York-based sleep technology company raised a $50 million Series D in March, while India-based metabolic health wearable maker secured the equivalent of about $44 million in Series C funding in February.

A few entrants are also drawing substantial checks. New Delhi-based raised a sizable $54 million seed round in February for a wearable focused on brain-centered health and performance metrics. The company says its technology tracks cerebral blood flow and uses a proprietary measure called Entropy to quantify users’ real-time energy expenditure.

The future of fitness funding and exits

We expect to see continued investor interest in companies that bring AI to bear on wellness-related offerings, including in more specialized areas such as longevity, mental health, sleep and athletic performance.

We may also see more funding for devices that serve as data-collection layers for AI-driven health platforms. At the same time, we don’t expect investors to broadly return to large, pricey home-gym gadgets or hardware that doesn’t have a strong recurring software, data or healthcare component.

We could also see more exits in the sector as companies combine their capabilities through M&A deals or private equity roll-ups. And, we would not be surprised to see more established players make strategic buys of smaller companies, as we saw last year with fitness tracking platform ’s acquisition of running workout planner , or more recently with ’s purchase of endurance-training platform .

Still, we don’t foresee a flurry of IPOs from the sector, perhaps with the exception of a few star players. ����ܲԳ����������’s predictive intelligence tools suggest likely IPO candidates in the fitness and wellness categories include Whoop, rival wearable wellness tracker , mental health platform , and , which operates a network of clinics offering what it bills as AI-driven longevity and preventative health services.

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This is a weekly feature that runs down the week’s top 10 announced funding rounds in the U.S. Check out last week’s biggest funding deal roundup here.

AI once again dominated venture funding this week, claiming five of the 10 largest announced rounds, including a pair of billion-dollar financings for AI infrastructure and cybersecurity that led the pack. Investors also continued to back quantum computing, geothermal energy, crypto infrastructure and aerospace startups with large checks. Let’s take a look.

1. (tied) , $1B, cybersecurity: Keyfactor raised a $1 billion private equity round led by. Other investors in the private equity round for the Independence, Ohio-based company included and . Keyfactor provides digital identity and machine identity management software that helps enterprises secure certificates, encryption keys and connected devices. It has now raised $1.21 billion to date, .

1. (tied) , $1B, AI infrastructure: Palo Alto, California-based SambaNova officially announced a long-awaited $1 billion Series F deal at an $11 billion post-money valuation led by. A of other investors joined the round, including ,,,,, and. SambaNova develops AI chips and enterprise AI infrastructure for training and inference workloads. The company has raised nearly $2.5 billion to date, .

3. , $300M, quantum computing: , and co-led a sizable $300 million Series A for South Pasadena, California-based quantum startup Oratomic. A of 16�� investors participated in the round, including , , , co-founder , and computer scientist . Oratomic is developing neutral-atom quantum hardware and fault-tolerant architectures designed to accelerate the commercialization of quantum computing, an area that has seen robust venture investment in recent years.

4. , $134M, clean energy: Houston-based Quaise Energy raised a $134 million Series B led by . Additional investors included , and. Quaise is developing millimeter-wave drilling technology to unlock deep geothermal energy, an emerging source of carbon-free power. To date, the company has raised $225 million.

5. , $130M, artificial intelligence: San Francisco-based Prime Intellect raised a $130 million Series A led by . A of investors — many of them prominent Silicon Valley figures —��joined, including CEO , CEO�� , co-founder , CEO and co-CEO . Corporate investors , and also backed the round. Prime is building an open platform for training and deploying AI models across distributed compute networks. It has now raised $200.4 million total, .

6. , $125M, crypto infrastructure: New York-based Gauntlet raised a $125 million Series B, with Japan’s as the sole investor. The company develops simulation, risk management and optimization software for decentralized finance protocols.

7. , $120M, artificial intelligence: New York-based Norm AI secured a $120 million Series C led by at a reported $1.2 billion valuation to expand its AI-powered regulatory compliance platform. The company develops AI systems that translate complex laws and regulations into software to help enterprises automate their compliance workflows. The latest funding included a long list of other venture, corporate and individual backers including , , , and , the chairman of and former president of , which also participated in Norm AI’s deal. The startup has now raised just over $256 million, .

8. , $91M, aerospace and defense: Aerospace continues to draw substantial investor attention, as was the case this week with Houston-based Venus Aerospace’s $91 million Series B. backed the round, which will be used to advance development of Venus’ hypersonic propulsion technology. The company is building engines and aircraft designed to dramatically reduce long-distance flight times while supporting future defense applications. It has now raised $197 million total. An of investors joined in its Series B, including , , , and .

9. , $76M, fintech: Digital asset exchange EDX Markets raised $76 million as institutional interest in crypto trading infrastructure continues to grow. The deal was backed by sole investor , marking the second large crypto funding deal for the Japanese firm this week, along with Gauntlet’s aforementioned round. EDX operates a marketplace designed specifically for institutional investors. It’s not clear how much it raised in previous rounds.

10. , $67.4M, biotechnology: Philadelphia-based Fore Biotherapeutics (previously known as NovellusDx) raised $67.4 million in Series D funding to advance its precision oncology therapies targeting rare cancer mutations. The company is developing targeted treatments for patients whose tumors are driven by specific genetic alterations. led the latest round, which brings its total to date to just over $274 million. , , , and other investors also joined.

Large non-US deals:

Several startups based outside the U.S. also raised notable fundings this week. They include:

• , €411M, fusion energy: Munich-based Proxima Fusion raised a €411 million (about $468 million) Series B funding round to develop what’s poised to become Europe’s first commercial fusion energy power plant. Lead investors in the round include , , and .
• , €200M, workplace tech: led the €200 million ($229 million) private-equity round for Paris-based Skello, which makes HR software for employers to handle tasks such as payroll, scheduling, compliance and employee communications.

Methodology

We tracked the largest announced rounds in the ���ϳԹ� database that were raised by U.S.-based companies for the period of July 4-10. Although most announced rounds are represented in the database, there could be a small time lag as some rounds are reported late in the week.

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Our inboxes overflowed with interesting deals in the past month, but we managed to sift through them all to find the five most intriguing ones.

They include a startup that’s simultaneously developing AI models for biology and trying to prevent the threats that stem from those types of advances, a company that says it wants to prevent modern day private markets from the kind of paperwork crisis that shut down Wall Street in the ’60s, and AI agents that can dispatch plumbers and electricians to your door.

$50M for ‘general biological intelligence’

AI has conquered text, images and code. Now one startup wants to do the same for DNA.

San Francisco-based last month emerged from stealth with a hefty $50 million seed round led by , with participation from , , and . The startup said it also received pre-seed backing from co-founder .

Radical Numerics was founded by the team behind , one of the first AI models capable of reading and generating DNA sequences at scale. The startup’s mission is even more ambitious: building what it calls “general biological intelligence,” or multimodal AI models that can reason across DNA, RNA, proteins and other biological data to accelerate drug discovery, cancer diagnostics and biosecurity.

Alongside the funding, the company previewed Omnii, its next-generation genome language model.

The company’s dual focus on human health and biodefense reflects a growing theme in frontier AI investing. ���ϳԹ� data shows that as models become increasingly capable of designing biological systems, investors have poured tens of millions of dollars into startups that promise not only to accelerate scientific discovery, but also help detect and defend against AI-generated biological threats.

“Evo showed that AI can generate DNA and whole genomes, the next generation of models will go further with the ability to control function, and eventually, create entirely new forms of life,” Radical Numerics CEO said in a statement. “Our multimodal models are already far more capable, and we understand the responsibility that comes with that. The same models that can help cure disease may also lower the barrier to designing harmful biology. These forces are inseparable. Biology will be the most consequential application of AI.”

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$40M for AI that dispatches the plumber

The AI gold rush has reached an unlikely destination: your local plumber and HVAC company. New York-based said last month that it has raised $40 million in new funding: a $34 million Series A led by and a $6 million seed round led by , with Sequoia also participating in the Series A.

The startup is building what it calls an AI operating system for home service businesses, from plumbers and electricians to HVAC contractors. Rather than adding yet another AI chatbot or voice agent, Probook says it aims to replace the patchwork of software many contractors use with a single platform centered on dispatch, arguably the most critical function in the business.

Its software ties together customer intake, scheduling, messaging and outbound communications so technicians spend less time waiting for jobs and office staff spend less time coordinating them.

“I started Probook to solve a problem in my own business,” Probook CEO and co-founder said in a statement. “I grew up pressure washing in upstate New York with my dad. Six summers in the truck. I spent two to three hours of my day driving between jobs. I’d be up on a ladder washing a house and miss calls because I couldn’t hear my phone ringing.”

The company is tapping into a growing trend of vertical AI startups targeting industries that have historically lagged in software adoption, and they’re seeing keen enthusiasm from investors betting that trades such as plumbing, electrical and HVAC represent a massive opportunity to automate workflows and potentially boost profit margins for businesses that still run much of their operations by phone, clipboard and spreadsheet.

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$25M for subterranean warfare

Defense investors have poured billions into startups developing drones and missiles for the sky, tanks and other vehicles for land warfare, and autonomous military vessels for the water.

But a newly funded startup, , is betting the next battlefield is below the ground. The Austin-based startup emerged from stealth last month with a $25 million seed round led by , with participation from a long list of other investors including , , , and , and strategic angels including and founders from and .

Traysar calls itself the world’s first “subterra” defense tech company. Rather than building systems for the skies or seas, it’s developing autonomous platforms that can tunnel underground, map subterranean networks, breach hardened infrastructure and deliver payloads beneath the Earth’s surface. It’s there that it says modern warfare is increasingly being conducted in places like Iran, with its underground nuclear bunkers; Gaza, which has a vast Hamas-built subterranean tunnel network; and Ukraine, which has moved more of its military infrastructure beneath the surface to protect it from aerial drone threats.

The startup, whose founding team includes former engineers from and , is developing two autonomous underground systems. The first is an excavator-type robot designed to navigate, map and breach tunnels from within, giving military operators a way to explore or disable underground networks without sending in troops.

The second is a high-speed burrowing platform that drills new underground access points and can carry payloads — from explosives to sensing equipment — beneath the surface, bringing tunnel-boring technology to the battlefield.

Through the first half of 2026, defense-tech startups globally raised nearly $15.8 billion, by far the largest funding half-year for the sector on record, per ���ϳԹ� data. Of course, the vast majority of that has gone toward above-ground or marine technologies.

“The global defense industry has a vertical bias: hundreds of billions flow skyward into missiles, missile defense, drones, and counter-drone systems, while adversaries dig in building deeply buried facilities the U.S. cannot reliably strike, and cannot affordably keep disabled,” Traysar in its funding announcement.

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$23.7M for AI growth tools for small businesses

Most AI startups chase large enterprise customers. is betting the neighborhood coffee shop and corner restaurant are the bigger opportunity.

The New York-based startup last month emerged from stealth with $23.7 million in funding, including a $19.5 million Series A led by . , ‘s , , , , and also participated.

Pie says it’s creating an AI-powered growth platform that helps local merchants get discovered�� across AI search platforms like ChatGPT and Claude where customers increasingly begin their searches, as well as more traditional marketing channels like Maps, and .

The company also unveiled Front Desk, an AI agent that it says can answer calls around the clock, book appointments and handle customer inquiries when business owners can’t get to the phone.

Founded by former and executives, Pie says it has already reached thousands of businesses through partnerships with industry software providers while operating in stealth.

“Pie is bringing AI to Main Street by starting with one of the biggest pain points for small business owners: finding new customers,” , partner at Lightspeed, said in a statement. “Customer acquisition is a powerful entry point, but the broader vision is to build an AI platform that can support small businesses across more of their daily operations over time.”

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$2M to tackle the private market paperwork crisis

Wall Street once got so buried in paperwork that the shut down every Wednesday . Six decades later, Berlin-based thinks private markets are headed toward a similar reckoning and just raised $2 million to stop it.

The company’s pre-seed round was led by , with participation from and individuals from firms including and .

Founded by two early employees of fund administration startup , Nomerra is building AI agents for the operational work that keeps private capital markets running behind the scenes.

While public markets rely on standardized infrastructure, private markets still depend heavily on emails, PDFs, spreadsheets and disconnected software, the company said. Its software plugs into existing ERP systems, banking platforms and document repositories, then uses AI agents to read documents, reconcile information across systems and complete workflows such as fund accounting, treasury operations and transfer agency work.

At the same time, private markets are expected to swell from roughly $13 trillion today to more than $30 trillion over the coming years, according to Nomerra, even as the industry faces a shortage of qualified accounting and operations professionals.

Rather than replacing existing software, the company says it aims to automate the manual tasks that have traditionally required growing back-office teams.

“Think of how telephone operators used to connect one caller to another by plugging cables into a switchboard,” , Nomerra co-founder and CEO, said in a statement. “Today, the idea that humans once routed every phone call manually seems absurd. Private market operations are at the same turning point. In a few years, people will look back and wonder how any of this was ever done by hand.”

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The Menlo Park, California-based firm highlighted its early investment in , which last month overtook rival as the top-valued frontier lab in the world with a staggering $965 billion valuation. While Menlo Ventures’ investment in Anthropic’s was not its first bet on artificial intelligence, the firm described it as its “flag-planting moment.”

“We made our first investment in Anthropic in 2023, when the company was pre-product, pre-revenue. By then, ChatGPT was a household name, and many believed the LLM race was already decided. We saw it differently,” the firm wrote in published Tuesday. “In and his founding team — arguably the most accomplished researchers in the field — we saw the rare mix of technical depth and clarity of purpose that defines a category leader. We were convinced there was room for another independent foundation model company, that Anthropic was the team to build it, and that an investment in Anthropic could anchor our broader AI strategy.”

The firm went on to lead Anthropic’s the following year.

“That early relationship gave us a rare vantage point on the model layer and on the infrastructure, workflows, and application opportunities forming around it,” the firm said this week.

Two new funds

The firm’s new capital is across two funds: , earmarked for seed and Series A startups, and , a growth fund for Series B and later startups that are “already pulling away from the pack and on their way to becoming the breakout names of the AI era.”

Along with Anthropic, other notable Menlo Ventures investments over the years include , , , and . Anthropic, which has filed plans for a 2026 IPO, would be the largest exit to date for one of its portfolio companies by far, with an expected IPO target of $1 trillion or more.

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