U.S. venture-backed technology聽1 companies have secured nearly $90 billion in domestic public offerings this year, per 黑料吃瓜 data. That鈥檚 already the second-highest annual tally on record, and we鈥檝e still got a few months to go.

However, virtually all the money went to two companies. alone accounted for 83% of the $90 billion raised this year, while AI infrastructure company scooped up another 6%. A potential offering from , meanwhile, could be even bigger.

The remaining field is comparatively modest. Just 21 other venture-backed technology companies went public this year in sizable or offerings 2, per 黑料吃瓜 data. Collectively, their offerings, which include traditional IPOs and SPAC deals, pulled in less than $10 billion.

This small cohort is intriguing for what it excludes as well as what it includes. Enterprise software, long a staple industry among venture-backed IPOs, was essentially a no-show this year. Energy, defense and space tech, by contrast, were well-represented. We also saw smaller offerings from other sectors, including medical devices and consumer-facing startups.

Here are some of the key findings in more detail:

Energy powers the most IPOs: About a quarter of this year鈥檚 tech startup offerings hail from the energy sector. The largest of these was from geothermal energy provider . Several nuclear power-focused startups also made their debuts, including and , developers of small modular nuclear reactors, as well as , focused on advanced nuclear fuel.

A dash of quantum, defense, aerospace, devices and consumer: Beyond energy, quantum computing company delivered one of the year鈥檚 larger debuts, as did equipment rental platform . Defense tech and aerospace were also strong performers, with offerings from satellite intelligence provider and spacecraft developer . And on the consumer front, e-bike and scooter platform finally made its market entrance, albeit at a valuation below its one-time .

An IPO SaaS-pocalipse: But what about SaaS? Mostly MIA. The paucity of enterprise software offerings this year isn鈥檛 entirely surprising given the impact of AI on the sector. VCs are pouring capital into a newer generation of AI-first platforms in legal tech, accounting and other enterprise software sectors. Existing SaaS unicorns are also moving fast to incorporate more AI in their offerings.

One end result is there are an awful lot of SaaS unicorns and former unicorns that have concluded this year is not the time to pursue an IPO.

Winner-takes-almost-all

Another end result is that investment returns are looking more concentrated than ever.

Of course, winning big or not at all is far from a new thing in the startup world. Tech venture returns have always been propped up largely by a few enormous wins, with the remainder of portfolio companies producing either losses or smaller profitable exits. But lately, the winner-take-almost-all-the-IPO-proceeds tilt is more pronounced than ever.

The pipeline of tech companies that have filed for future IPOs doesn鈥檛 offer much consolation that this pattern will change. Giant potential market debuts from Anthropic and still dominate IPO chatter. Enterprise SaaS offerings do not.

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One of the strangest things about the current AI cycle is just how fast the math changes for the people building it. You can be a 20-something founder who feels like you are still in the warm-up phase of your career, yet on paper your equity is already life changing. Or a mid-level engineer who went from holding startup options to staring at a substantial personal balance sheet practically overnight.

The gap between life experience and the sudden reality of managing serious wealth is widening as AI-native companies reach major valuations faster and private company liquidity arrives earlier.

A of more than 3,400 founders and senior leaders across 20 countries found that AI-native startups are reaching billion-dollar valuations in about 3.5 years, roughly half the time it took before generative AI. They are doing it with about half the staff.

We have seen an even more compressed version firsthand. We recently advised founders who went from launching their company to a major liquidity event in less than a year.

When the money outpaces the mindset

For decades, tech wealth followed a more predictable script. Significant personal wealth often accumulated alongside a long career. Equity vested over years, responsibilities grew and additional grants often followed. If everything went right, an acquisition or IPO marked a visible transition into a very different financial reality.

Today, that boundary is much less clear. AI capabilities allow companies to grow at a much faster pace.

A young founder can suddenly face questions that used to come much later in life. What are their long-term personal goals? What should the new capital be used for? What does financial independence mean for someone who may still be figuring out what they want their life to look like?

These are not always questions that can be answered overnight.

Compounding this is the fact that one doesn鈥檛 have to wait for an IPO to de-risk. Tender offers and secondary transactions allow founders and employees to turn part of their equity into cash while the company remains private.

Take as an example. While still only 3 years old, the company authorized a $100 million secondary sale for staff at a $6.6 billion valuation. By February 2026, it had at an $11 billion valuation.

For someone inside a company moving at that speed, the sequence can look very different from the traditional startup script. It is a dizzying loop of grants, valuations and a sudden liquidity window. All of this can happen long before an IPO.

Flexibility is the name of the game

A sudden liquidity event can make financial independence a realistic goal. It may make buying a home possible, even while someone is still single or has no idea where they want to live long term. It may allow them to take care of parents or fund another entrepreneurial chapter.

The pace of these cycles can also be contagious. Opportunities seem to be everywhere. At the same time, a founder may still be taking substantial risks with the current venture and have very little idea what life will look like in five years.

When we advise technology executives and founders in this position, we try to leave room for several possible paths while the broader picture is still developing. Some capital may eventually support long-term family security. Some may need to remain available for opportunities or life changes that do not exist today.

A future business endeavour, a career change, a relocation to another country, or other less conventional ideas can change the picture again. Some of these moves can be made today, but others need time to develop.

A company may compress 10 years of growth into three, but people cannot compress 10 years of life into three. Ignoring that gap is where real risk can build.

Valuations and liquidity can move incredibly fast. Decisions about family wellbeing, security, career and the future still move at a human pace. Your financial architecture needs to respect the difference.

is co-CEO of , where he works with founders, senior technology executives and families on wealth strategy, liquidity events and long-term financial planning. Before moving into wealth planning, he spent many years in the technology industry and writes about the intersection of technology, equity and personal wealth.

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Startups across sales, marketing and customer management have raised $7.5 billion so far this year, according to 黑料吃瓜 data. The largest rounds span everything from advertising and customer data to sales software, e-commerce and customer support 鈥� reflecting just how many companies are still trying to build a better way to market and sell.

The broad trend: Investors are making far fewer bets on sales and marketing startups than immediately before and after the COVID-19 pandemic, but they鈥檙e still writing checks into the space.

Unsurprisingly, AI-focused companies are capturing a much larger share of funding than during the prior peak, with most sales, marketing and CRM investment going to companies in 黑料吃瓜 AI-related categories.

The numbers: So far in 2026, startups in sales, marketing and CRM have raised $7.5 billion globally across 830 funding rounds, 黑料吃瓜 data shows. At the current pace, funding could finish near the $9.3 billion raised in both 2023 and 2024, although potentially below last year鈥檚 $11.1 billion. Deal volume, meanwhile, is on track to fall for a fourth consecutive year 鈥� pointing to a market where investors are putting more money into fewer companies.

Funding in recent years remains far below past levels. In 2022, for example, funding in the sector topped $27 billion, and in 2021, it totaled nearly $41 billion.

Notable deals

The year鈥檚 largest funding recipient so far was, which raised more than $1 billion in a June Series E from , , and . The San Francisco-based marketing measurement company, whose products now include AI agents that analyze marketing data and automate tasks, was valued at $2.7 billion.

Restaurant financing and rewards platform announced $450 million in new capital in February. The Austin-based company did not identify a lead investor or disclose a valuation.

In January, AI-native customer service company raised a $350 million Series D led by . The Berlin-based company develops AI agents that handle customer conversations by phone and other channels. The financing tripled its valuation to $3 billion.

Meanwhile, , an online marketplace for digital products, communities and courses, received a $200 million strategic investment from in February. The deal valued the New York-based company at $1.6 billion.

Another larger deal went to Dubai-based property listings platform , which announced a $170 million equity investment in January. The company uses AI in products including home valuations and tools that help real estate agents improve and prioritize listings. led the deal, with participation from another UAE sovereign wealth fund and existing investor . The company did not disclose a valuation.

On Sept. 9,聽 AI-powered sales automation startup announced it had raised a $115 million Series D at a $7.1 billion valuation. This was more than double the $3.1 billion valuation it achieved when it raised a $100 million Series C in August 2025. Wellington led the latest round, with participation from , , 鈥檚 a16z Perennial wealth management arm, , and others. The company says the raise followed 4x revenue growth in 2025. It also told 黑料吃瓜 News that it’s on track to hit $200 million in ARR this quarter, and $240 million by the end of the fiscal year.

Exits

The sector has produced one notable public offering, but most exits are coming through acquisitions as larger companies buy specialized sales and marketing products to add to their existing platforms, 黑料吃瓜 data shows.

, a Redwood City, California-based mobile advertising and app-marketing company, began trading on the in June. It initially sold 19 million shares at $23 each, raising $437 million. The IPO valued Liftoff at $3.83 billion, based on the outstanding shares disclosed in its IPO prospectus.

There have been a number of M&A deals this year in the sector, too, though in most cases, the acquisition price was not disclosed.

The largest known deal was Dutch payments giant acquisition of , a Berlin-based loyalty and promotions platform, in July for about $880 million. Talon had previously raised over $120 million in venture funding.

Other startup M&A deals in the marketing and sales arena in 2026 include:

• In July, acquired Seattle-based sales intelligence startup to add information about prospective buyers to its sales products.
• In June, agreed to acquire , whose software helps companies identify and contact people visiting their websites.
• Sales platform acquired , which helps sales teams identify prospective customers based on product use and other signals, in March.
• acquired the Estonian startup , whose software connects sales and marketing data, in August.
• acquired India-based marketing intelligence startup in September through a team and technology deal.

Funding is down from peak years, but it鈥檚 clear investors haven鈥檛 lost interest in sales and marketing startups. However, they are putting more money into fewer of them. Companies that help businesses find customers, increase sales, or retain existing business are still landing big checks and attracting buyers. But with acquisitions far more common than IPOs, a public-market exit remains much harder to come by.

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The highest-valued new entrants were China-based humanoid robotics business , valued at more than $6.3 billion; San Jose, California-based photonics company , valued at $5.5 billion; and Palo Alto, California-based AI model platform , and San Francisco鈥檚 semiconductor manufacturing startup , both valued at $5 billion.

AI software featured prominently across model training, assistants, agentic and enterprise workflow automation, coding and voice transcription.

Semiconductors was the second-largest sector, with five new unicorns. Robotics and financial services each added three, while data centers, security and energy each added two.

The U.S. accounted for 16 of August鈥檚 new unicorns. China followed with four. South Korea, India, Singapore, the United Arab Emirates, Switzerland, Germany and Turkey each added one. Nigeria and Indonesia also each added one new unicorn 鈥� for both, their first new unicorn of the year.

Nine companies exited the 黑料吃瓜 in August, per 黑料吃瓜 data: Three that went public 鈥� the most notable being 鈥� and six via acquisition, including , and .

New unicorns in August

Here are August鈥檚 new unicorn companies:

AI and software

• , a Palo Alto, California-based platform for training, fine-tuning and deploying custom AI models based on proprietary data, announced $1.1 billion in funding led by and . The less-than-1-year-old company, founded by former co-founder , was valued.
• San Francisco-based , an AI assistant that executes personal tasks, raised a $250 million Series B led by and . The 1-year-old company was valued at $2.5 billion.
• Shanghai-based , a builder of agents for digital and physical environments, raised a $220 million seed round led by and . The less-than-1-year-old company was valued at $2 billion. Its founder, , a researcher, left earlier this year.
• San Francisco-based , which builds AI-powered voice-writing and meeting-transcription tools, raised a $280 million Series B led by , who also led its Series A in 2025. The 5-year-old company was valued at $2 billion.
• San Francisco-based , which provides AI-powered code review and change-management tools, raised a $143 million Series C at a $1.5 billion valuation. and co-led the round. The 3-year-old company said it would commit more than $10 million to keep its tools free for open-source projects over the next year.
• San Francisco-based , which deploys AI agents across calls, email, documents and enterprise systems, raised a $150 million Series C at a $1.2 billion post-money valuation. and led the round. The company is 4 years old, started in logistics and has expanded to insurance, energy, telecommunications and airlines among others and counts 150 enterprise customers.
• Turkey-based , a developer of consumer mobile applications, raised a $50 million Series A led by . The 4-year-old company was valued at $1.25 billion. Its apps include AI chatbot Nova, diagnosing plants with PlantApp, and art generator DaVinci.

Semiconductors

• , a San Jose, California-based developer of photonic interconnects for AI computing infrastructure, raised a $700 million Series C at a $5.5 billion valuation. , , , and led the round. The 2-year-old company is already deployed within data centers.
• raised $400 million in funding led by hedge fund . The 1-year-old company was valued at $5 billion. The San Francisco-based company creates tooling for semiconductor manufacturing and was founded by researchers.
• South Korea-based , which develops edge AI processors for on-device inference, raised about $29 million in the first tranche of its Series D funding from existing investors. The 8-year-old company targeting robotics and electronics was valued at about $2.2 billion.
• Shanghai-based , an AI chip startup for inference, raised a Series A led by local state capital investors and . The 4-year-old company was valued at about $1.5 billion with plans to ship its product in Q4 2026.
• Santa Clara, California-based , which develops low-power silicon and software for AI data centers and physical AI, raised a $110 million Series A led by . The 4-year old company was valued at more than $1 billion.

Robotics

• China-based , which is building the general-purpose IRON humanoid robot, raised more than $900 million in its first outside financing at a post-money valuation exceeding $6.3 billion. led the round, with participation from and support from and Alibaba Group. The company, a subsidiary of public smart electric vehicle company , is 10 years old.
• Singapore-based , which develops robots to operate in real-world environments, raised about $669 million in funding. The 2-year-old company was valued at about $3.3 billion and is set to deploy robots in a Dairy Queen in Shanghai to handle the entire 55-step process of taking orders, preparing the food and handing it to a customer.
• Zurich-based , which develops autonomous technology for heavy construction machinery, raised a $200 million Series A led by . The 4-year-old company was valued at $1 billion and works across multiple construction brands.

Financial services

• Bengaluru-based , a financial-services company spanning payment, lending and insurance, raised $100 million in funding led by . The 7-year-old company was valued at $1.3 billion.
• Berlin-based , a finance AI platform for European mid-sized businesses to聽 manage spend, card issuing and expenses, raised a $40 million Series C led by and . The 7-year-old company was valued at around $1.15 billion. The company says it has 5,000 businesses that use the service to give finance teams control.
• Palo Alto, California-based , an AI-native enterprise resource planning platform for accounting, raised a $100 million Series C led by . The 4-year-old company was valued at $1 billion.

Aerospace and defense

• Los Angeles-based , a manufacturer of autonomous military drones and counter-drone systems, raised a $250 million Series C at a $2.5 billion post-money valuation. and the co-led the round. The company is 3 years old. Neros has contracts with the U.S. military as well as half a dozen allied countries.
• Mountain View, California-based , which builds and operates satellite constellations for national security, civil and commercial customers, raised a $250 million Series C led by . The 5-year-old company was valued at $1.5 billion.

Data centers

• Palo Alto, California-based , a vertically integrated AI infrastructure platform, raised a $300 million Series A led by , , and . The less-than-1-year-old company was valued at $2.4 billion. Alongside the equity, Volta secured $5 billion in debt to fund data center buildouts.
• , a full-stack AI infrastructure and neocloud platform, received led by Doha-based broadband provider , which holds a 49% stake. Jakarta-based Zankore is less than 1-year-old and is valued at $1.6 billion. The platform is targeting 1 gigawatt of AI computing capacity.

Security

• San Francisco-based , an AI-native security company that provides autonomous penetration testing, raised a $250 million Series E led by and . The 7-year-old company was valued at $2 billion and is used by 7,000 organizations including defense, Fortune 10, banks and healthcare companies among others.
• Palo Alto, California-based , which provides security for AI agents and third-party applications, raised an $85 million Series D led by . The 9-year-old company was valued at $1.1 billion.

Energy

• China-based , a nuclear fusion company developing small modular reactors, raised about $179 million in seed funding. The 1-year-old company was valued at about $1.5 billion.
• Washington, D.C.-based , which develops software that adjusts AI data-center workloads based on power-grid demands, raised a $150 million Series A at a $1 billion valuation. and co-led the round. The 2-year-old company says the round brings total funding to more than $220 million.

Transportation

• Nigeria-based , a vehicle financing and autonomous fleet management infrastructure, raised a $250 million Series C led by , and . The 7-year-old company was valued at $2.1 billion. It operates a fleet of 42,000 vehicles 鈥� both human-driven and autonomous 鈥� across 29 cities, with annual recurring revenue of $420 million.听

Critical minerals

• Houston-based , which builds mines and refineries using its MarianaOS software platform, raised a $310 million Series B led by . The 2-year-old company was valued at $1.5 billion.

Web3

• Dubai-based , an AI-enabled stablecoin neobanking platform for cross-border payments and tokenized assets, raised a $68 million Series C led by Tokyo-based at a $1 billion valuation. The 7-year-old company says it processes more than $40 billion in annualized transaction volume.

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• (1,862)
• (658)
• (276)
• (195)
• (119)
• (102)
• (961)
• (547)
• (254)
• (39)
• (489)

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Methodology

The 黑料吃瓜 黑料吃瓜 is a curated list that includes private unicorn companies with post-money valuations of $1 billion or more and is based on 黑料吃瓜 data. New companies are as they reach the $1 billion valuation mark as part of a funding round.听

The unicorn board does not reflect internal company valuations 鈥� such as those set via a 409a process for employee stock options 鈥� as these differ from, and are more likely to be lower than, a priced funding round. We also do not adjust valuations based on investor writedowns, which change quarterly, as different investors will not value the same company consistently within the same quarter.听

Funding to unicorn companies includes all private financings to companies that are tagged as unicorns, as well as those that have since graduated to .听

Exits analyzed here only include the first time a company exits.听

Please note that all funding values are given in U.S. dollars unless otherwise noted. 黑料吃瓜 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to 黑料吃瓜 long after the event was announced, foreign currency transactions are converted at the historic spot price.

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Seven companies raised billion-dollar fundings in August, tied with a few months for the year鈥檚 second-highest count after July, when 13 companies did the same.

The largest startup funding deal in August went to 13-year-old which raised $5 billion at a $190 billion valuation.

Other companies across a broad range of industries raised billion-dollar-plus rounds, a testament to the strength of the technology sector impacting聽 a range of more traditional industries, including physical manufacturing, defense, aerospace and energy. They included defense tech startup ; , which performs custom AI fine-tuning for businesses; low-orbit satellite network ; nuclear energy company ; automated coding provider ; and home battery service .

Notable exits

On the IPO front, Hangzhou, China-based humanoid robotics company went public on Aug. 19 and soared 460% on its first day of trading on the .

The largest M&A news in August was 鈥檚 announcement that it aims to acquire open-source AI platform for $12.9 billion. Other notable acquisition news was Milan-based tech aggregator 鈥� plan to acquire 13-year-old database company for around $1.3 billion.

Big rounds are coming faster

Venture capital continues to concentrate rapidly among a small group of fast-growing companies. Two of August鈥檚 billion-dollar recipients illustrate the trend: Databricks added $56 billion to its valuation in just six months, while River AI raised both its seed and Series A rounds this year, amassing a staggering $1.1 billion in early-stage funding.

That accelerated cadence extended across August鈥檚 megadeals: Five of the seven billion-dollar funding recipients had last raised capital less than 12 months earlier, including three that closed their previous rounds earlier this year. The numbers underscore how quickly investors are doubling down on companies they believe can become the next generation of technology giants.

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Methodology

The data contained in this report comes directly from 黑料吃瓜, and is based on reported data. Data is as of Sept. 2, 2026.

Note that data lags are most pronounced at the earliest stages of venture activity, with seed funding amounts increasing significantly after the end of a quarter/year.

Please note that all funding values are given in U.S. dollars unless otherwise noted. 黑料吃瓜 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to 黑料吃瓜 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Glossary of funding terms

Seed and angel consists of seed, pre-seed and angel rounds. 黑料吃瓜 also includes venture rounds of unknown series, equity crowdfunding and convertible notes at $3 million (USD or as-converted USD equivalent) or less.

Early-stage consists of Series A and Series B rounds, as well as other round types. 黑料吃瓜 includes venture rounds of unknown series, corporate venture and other rounds above $3 million, and those less than or equal to $15 million.

Late-stage consists of Series C, Series D, Series E and later-lettered venture rounds following the 鈥淪eries [Letter]鈥� naming convention. Also included are venture rounds of unknown series, corporate venture and other rounds above $15 million. Corporate rounds are only included if a company has raised an equity funding at seed through a venture series funding round.

Technology growth is a private-equity round raised by a company that has previously raised a 鈥渧enture鈥� round. (So basically, any round from the previously defined stages.)

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But startup investors haven鈥檛 abandoned the sector, either, 黑料吃瓜 data shows. Instead, they鈥檙e being more selective about their bets and putting more money into companies using AI and other technology to make construction, property operations and real estate transactions faster and less expensive.

That shift shows up in both the year鈥檚 largest funding rounds and biggest acquisitions 鈥� and, notably, much of the biggest funding activity is happening outside the U.S.

The broad trend: Even before the pandemic-fueled funding peaks, proptech startups received more than double the venture funding in 2019 than in more recent years. While investors haven鈥檛 given up on proptech, funding to startups in the space remains down as interest rates hover in the .

In case you forgot, during the COVID-19 pandemic, home buyers and owners had access to 15-year mortgage interest rates as low as 2.5%. Those historically low interest rates fueled investor interest in the space, especially in the U.S.

Today, venture investors are backing startups working in areas such as AI-driven construction, property operations, underwriting and transaction infrastructure with demonstrable ROI. At the same time, more generic real estate software and later-stage companies without exceptional growth face significant funding challenges, our data shows.

And interestingly, four of the five largest deals in 2026 to date took place outside the United States.

The numbers: So far in 2026, global real estate-related startups have pulled in about $8.7 billion in seed- through growth-stage financing, per 黑料吃瓜 . That compares to $24 billion in 2019, the second-highest year on record after the 2021 venture funding spike. It also compares to $12.3 billion raised in 2025. It appears that with four months left in the year, proptech funding is on pace to roughly match or slightly exceed 2025 levels.

Deal count is also down fairly significantly, with 794 deals so far this year. For context, the space saw more than 2,400 deals in 2019. Last year, the sector notched 1,446 transactions. The lower deal count signals both potentially decreased investor interest in the space and larger round sizes.

Noteworthy deals

The three largest deals in the proptech space so far took place in Europe, and two of those top deals involved companies doing work with steel.

Stockholm-based , a green steel startup, landed the largest haul in a private equity deal led by , also of Sweden. In June, the 6-year-old company raised about $1.6 billion in a transaction that made Wallenberg its majority owner.

In August, of Madrid raised $695 million in a venture round led by another Madrid-based company, , for its own green steel plant. The 3-year-old startup raised the money at a $3.1 billion valuation.

And in January, Amsterdam-based , a cloud-native hospitality management system, closed a $300 million Series D funding round at a $2.5 billion valuation. London鈥檚 led the financing for the 14-year-old company.

The only U.S. company to crack the top five when it comes to the largest deals was San Francisco-based autonomous construction tech startup , which raised $270 million in a Series B funding round in February. The financing, co-led by and , brought Bedrock鈥檚 total funding to over $350 million and valued the company at $1.75 billion.

Montreal-based AI-powered digital mortgage startup rounds out the list with a $216 million Series E raised in June at a $1.47 billion valuation.

Exits

There have been some meaningful proptech exits in 2026, although the activity is much stronger in M&A than in IPOs.

The only known significant initial public offering in the space was conducted in January by Columbia, Missouri-based , a construction-equipment rental company with a jobsite technology platform. EquipmentShare raised about $747 million in primary proceeds by pricing 30.5 million shares at $24.50. Including shares sold by existing holders, the offering totaled approximately $859 million.

Real estate-related startup M&A, however, has been robust in 2026 so far, with several of the largest transactions involving brokerage consolidation. Overall, the broad acquisition trend is centered around incumbents buying data, workflow ownership and distribution so they can build credible AI products more quickly.

The largest deal in the proptech space was $3.6 billion cash purchase of , which operated an AI-powered equipment maintenance and asset management platform, announced in May. (MaintainX had seen its valuation jump to $2.5 billion in 2025 after a $150 million Series D raise.)

There were several other large acquisitions.

• In January, completed its acquisition of in an all-stock $1.6 billion transaction that made it 鈥渢he world鈥檚 largest brokerage,鈥� according to .
• Construction tech giant announced in July that it was acquiring , a provider of aerial and ground-based reality-capture software for construction and other industries, for $845 million in cash. In a smaller deal, Procore also picked up construction AI-agent platform .
• Commercial real estate giant in August completed its $800 million cash purchase of , a housing-market data and technology provider for the homebuilding industry.
• And also in August, officially completed its $880 million acquisition of , forming a new parent entity named the Real REMAX Group.

The AI effect

AI is starting to move from the testing stage into everyday use across real estate and construction, according to a from and titled 鈥淧roptech鈥檚 Impact on Real Estate Innovation and Transformation.鈥�

The report says companies are using it to cut costs, make better decisions, and handle routine work more efficiently. Meanwhile, proptech is expanding beyond property-management software into areas such as construction, energy, infrastructure and climate technology.

Overall, proptech funding remains far below its pandemic-era highs, but the types of companies attracting money are evolving. Investors and buyers tend to favor businesses that can show they save customers time or money, particularly in construction, building operations and real estate finance. As such, the proptech sector increasingly includes companies that look quite different from those funded in years past.

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• Sector Snapshot: Real Estate Tech Funding Sees Slight Rebound, But Still Far Lower Than Peak Years
• Steel Startups Forge Ahead With More Funding
• From Batteries To Building Materials, Green Manufacturing Startups Are Raising Billions

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So far this year, a record $20.3 billion in global seed- through growth-stage funding has gone to companies in space- and satellite-related sectors, per 黑料吃瓜 data. That鈥檚 already by far the highest annual tally on record, and we鈥檝e still got four months left in 2026.

Excitement extends beyond obvious markers like a behemoth IPO. The latest quarterly from venture investor declares that 鈥渢he space economy has entered a new era,鈥� and that 鈥渃apital is flowing at unprecedented scale,鈥� with scant indication of a near-term pullback.

It鈥檚 a global phenomenon as well, with the United States, China and Europe accounting for the overwhelming majority of funding. So far this year, U.S. startups pulled in around $12.7 billion, more than 60% of global space tech funding. Just over 20% of funding went to China-based companies, while Europe pulled in about 10%.

Top fundraisers

Funding looks robust, but, as usual, the larger rounds cluster at later stages.

This is true for 2026 fundraising leaders. The top-ranked investment recipient, , pulled in $5 billion in a May Series H. (Anduril is a diversified defense technology company rather than a pure-play space tech company, but it includes space and satellites among its focus areas.)

Shanghai-based , also referred to as SpaceSail, which is developing a low-Earth orbit satellite internet constellation to rival , was another prodigious fundraiser, pulling in a $1 billion round in August.

, a Torrance, California-based developer of large, high-powered satellites, also picked up a big round, securing $500 million in Series D funding in July.

For a broader view, below we put together a list of nine of this year鈥檚 largest space tech funding round recipients.

Exits rising

Needless to say, space tech investors aren鈥檛 just deploying capital 鈥� they鈥檙e also seeing eye-popping exit returns.

SpaceX set an initial valuation of nearly $1.8 trillion for its June IPO 鈥� the largest by far of any public offering to date 鈥� and raised over $80 billion in the process. Shares of the rocket developer, launch provider, Starlink operator and AI hyperscaler have fluctuated since then, but recently hovered near the initial offer price.

Of course, no other company operating in the space tech sector will come close to that. Leaving that aside, however, we did see some offerings and acquisitions that were significant by most other comps.

One example was , a private equity-backed space and defense tech company, which went public in January at a valuation of over $4 billion. Its stock has fallen sharply since then, however, indicating that a space tech focus alone is not enough to keep shares aloft.

More recently, , operator of a satellite constellation that sells signals intelligence to defense and government customers, went public in May. Its shares are also down some from their first-day closing price.

Startup M&A deals are also happening. York Space Systems announced this year that it is acquiring , a provider of satellite communications terminals, in a $355 million deal. It acquired two other venture-backed companies this year for undisclosed sums: , a developer of satellite propulsion systems, and , focused on solar energy for space.

Another recent market entrant, , also made a significant acquisition, picking up , a developer of lunar landers and rovers, for $300 million in June.

Risks and rewards

Of course, even the most sunnily optimistic startup investors don’t expect space tech valuations to always move up and to the right. It鈥檚 a notoriously risk-prone sector, and even the sector鈥檚 high-valuation market newcomer, SpaceX, has suffered its share of rocket failures and other high-profile disappointments.

That said, startup backers clearly believe space tech rewards outweigh the risks. We鈥檒l see in coming quarters if that still holds true.

Correction: The 2025 dollar amount in the chart was updated.

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The current focus on AI IPOs is largely centered on public market performance. Investors want to know whether these companies justify their valuations and how their shares will trade after listing.

But everybody is watching the wrong metric. The more consequential story begins after the bell rings, when limited partners receive distributions and decide where to deploy that capital next.

At sufficient scale, AI IPOs become a capital formation event for the broader venture ecosystem. If several of the largest AI companies reach the public markets over the next few years, those exits could reshape venture fundraising and further concentrate capital among the industry鈥檚 largest firms.

The real story begins after the IPO

The more meaningful process starts when investors receive distributions from successful exits. Pension funds, university endowments, sovereign wealth funds and family offices rarely leave that capital sitting idle for long. As portfolios are rebalanced, investment committees begin evaluating new commitments across private markets.

Venture has spent several years waiting for meaningful liquidity. Higher private valuations may improve paper returns, but they do not return capital to limited partners. Only successful exits complete that cycle.

鈥檚 $85.7 billion IPO illustrates both the potential and the limits of a single listing. One IPO alone is unlikely to transform venture fundraising. But a sustained wave of listings involving companies such as , , and could steadily return capital to investors and give limited partners fresh resources to recommit.

Liquidity drives the next fundraising cycle

The importance of the next AI IPOs lies less in their individual performance than in their combined effect on venture fundraising.

As capital flows back to limited partners, investment committees gain both the liquidity and the flexibility to make new commitments. How those commitments are distributed will shape the industry鈥檚 next phase.

Recent fundraising trends suggest capital is likely to remain concentrated. According to the , the 10 largest U.S. venture funds captured nearly one-third of all capital raised in 2025, while first-time fund formation in more than a decade. If a new wave of liquidity reaches the market, established managers with proven track records are likely to receive the largest share.

offers a useful illustration. The firm recently raised over $15 billion across five funds, an amount equivalent to more than 18% of all U.S. venture capital dollars raised during 2025. Stronger distributions could leave the industry鈥檚 largest firms in an even better position to raise successor funds.

Capital will not flow evenly

Limited partners typically increase commitments to managers with established track records before expanding relationships with emerging firms. Successful exits reinforce confidence in those managers, making them the natural destination for a disproportionate share of new allocations.

The effects extend beyond fundraising. A $15 billion fund approaches ownership, pricing and portfolio support differently from a $500 million fund. Large funds need meaningful ownership and outcomes capable of returning multibillion-dollar vehicles. They can lead larger rounds, pay higher prices, defend ownership through multiple financings, and support companies for longer.

This is not a liquidity flywheel. It is a concentration flywheel. Successful investments generate distributions. Those distributions help the industry鈥檚 largest firms raise larger successor funds, reinforcing their competitive advantages. Over time, liquidity strengthens fundraising, and fundraising strengthens market position. The market may become larger without becoming broader.

Founders will feel the effects. Large investment platforms can finance companies for longer and compete more aggressively for ownership in the relatively small number of businesses capable of producing returns at their scale. The result could be a more pronounced barbell market: a limited group of companies attracts enormous amounts of capital, while businesses outside the dominant sectors face a more constrained financing environment.

Pay attention to LP liquidity, not just IPO pricing

Public investors will remember this AI IPO cycle by its opening prices. Venture investors may remember it for something else entirely.

It may be the moment capital began concentrating around a handful of firms at a speed the industry has never experienced.

The IPOs themselves will make headlines. The redistribution of power inside venture capital will shape the next decade.

is a general partner at , a VC firm investing in early-stage startups in AI, cybersecurity and digital health, and helping them expand into the U.S. market.

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All told, fintech startups raised $28.6 billion globally in the first half of 2026, a 22.7% increase from the first half of 2025, but down 17.3% compared to the $34.6 billion raised in the second half of last year. (It鈥檚 important to note that H2 2025 marked the strongest six-month funding period for fintech startups since the second half of 2022.)

Fintech funding in the first half of 2026 also topped the sector鈥檚 investment totals in 2020 and the pre-pandemic year of 2019, though they remain lower than the peak funding year of 2021 as well as 2018.

Historically, the United States has led the globe when it comes to fintech funding, and the first half of this year was no exception. More than 52% 鈥� $15 billion 鈥� of the global fintech funding in H1 flowed into companies based in the U.S. The United Kingdom was the second-largest recipient of capital, with companies there raising a collective $2.7 billion. India came in third, with a total of $1.9 billion raised, 黑料吃瓜 data shows.

Deal count drops

Even as dollar volume climbed, deal flow into venture-backed fintech startups fell fairly significantly in H1 2026, 黑料吃瓜 data shows. The first half of the year saw 1,605 funding deals announced in the sector, a 25.7% decline from the more than 2,161 completed in H1 2025 and down 40% from H1 2024.

Where investors are placing their bets

Active fintech investors who spoke with 黑料吃瓜 News said they see a split market emerging.

In general, the startup investment market has been cleaved into two extremes, with funding either pouring into brand-new companies or concentrating into a tiny handful of larger, established giants, according to , a partner at (Google Ventures).

The fintech sector is following the same pattern, Sakach told 黑料吃瓜 News via email, but its biggest players are using their size in an unusual way. 鈥�2026 marks the definitive ‘lab-i-fication’ of the modern corporation,” she noted, with some fintech platforms using their scale and steady profits to fund experimental new divisions.

Because these companies have significant data and distribution advantages, they are becoming magnets for top-tier workers, according to Sakach. For instance, she said, is now competing directly with top AI research labs for engineering talent, while is using its dominant position to build out new products in enterprise billing and blockchain.

For early-stage startups inside the U.S., the focus is shifting away from copying legacy financial services toward creating entirely new categories.

Wealth management is seeing a massive surge, driven by an influx of assets from a younger generation demanding AI tools, Sakach pointed out.

Fintech startups are also targeting massive, hidden corporate headaches.

鈥淎 50% reduction in global chargebacks is a ~$60 billion opportunity when accounting for both the merchant and banking overhead,鈥� she said.

The biggest shift, however, is happening around artificial intelligence and financial services. 鈥淐oding was AI’s first killer use case; financial markets could be the second, given its extraordinarily broad corpus of data,鈥� said Sakach, pointing to new concepts such as automated hedge funds and prediction markets.

, partner at , said the firm鈥檚 investments into the fintech sector have surged this year, as areas such as money movement infrastructure, stablecoins and tracking of real-world assets on the blockchain draw attention.

鈥淲e’ve never been busier: The quality of founders, the size of the markets they’re going after, and the maturity of the technology being built has never been more impressive,鈥� he said.

Those trends showed up among fintech鈥檚 largest fundraisers last quarter, with companies such as New York-based , which is building an agentic decision platform for banks and insurers, and , an African payments infrastructure startup, clinching some of the period鈥檚 largest funding deals. Both raises took place in June, with Taktile raising a $110 million Series C funding round led by and Flutterwave landing a Series E round of an undisclosed amount that valued the company at $3.2 billion.

Risks and opportunities

Even with a wealth of new opportunities in the sector, investors are also wary of the risks introduced by AI and hype around businesses that don鈥檛 have a clear path toward growth or profitability.

Sakach was particularly skeptical of new stablecoin networks that lack a clear way to get users, personal credit card startups with tough profit margins, and traditional banking software.

The problem with selling software to legacy banks is that their slow buying cycles 鈥渆ffectively break the hypervelocity speed needed for AI-level product evolution,鈥� she said. Instead, Sakach believes that AI tools will likely succeed by embedding highly specialized engineering teams directly into specific business units.

The era of the generic digital bank or basic payment app is largely over, in Overdorff鈥檚 view: 鈥淲ithout a real wedge or distribution advantage, it’s hard to build a durable business there.”

The real value of AI right now is its ability to act as the central engine for financial products rather than just a side feature, Overdorff believes. Startups are using the technology to compress complex underwriting, fraud detection and advisory workflows 鈥渢hat used to take teams of analysts weeks into tasks that happen in minutes.鈥�

As a result, traditional industries such as tax and audit are being completely upended, he said.

Traditional financial institutions, which are usually the slowest to adopt new tech, are finally bringing AI into their core operations, though Overdorff cautioned 鈥渢hat shift is opening up as much risk as opportunity.鈥�

He also flagged the cybersecurity risks associated with the rapid adoption of new technologies and AI into the financial system. 鈥淭he compliance and governance layer becomes just as important as the AI itself,鈥� he wrote.

Mega-valuations keep top fintechs private

While the fintech IPO market was robust in 2025, it has been markedly quieter in the U.S. so far this year. Three fintech companies went public in the first half of 2026, and they were all foreign companies opting to list in New York: Brazil鈥檚 and and Japan鈥檚 . That鈥檚 the same number of finance-related startups that went public in the first half of 2025, when , and made their debuts.

Many of the fintech companies expected to list in 2026 have remained private, often at escalating valuations. That includes fintech giants such as Stripe, , Ramp, , and others that have opted for more private financing, secondary sales or simply waiting out the public markets.

For example, in February, payments infrastructure giant Stripe announced it had inked deals with investors to provide liquidity to current and former employees through a tender offer at a $159 billion valuation. That valuation represented an impressive 49% increase from the $106.7 billion Stripe was valued at in September, when it completed .

In early June, expense management startup Ramp announced a $750 million funding round at a $44 billion valuation, just a few months after raising $300 million at a $32 billion valuation.

The H2 outlook

The trend of capital concentration seen in the first half of the year will continue into H2, Overdorff predicted, with 鈥渕ega-rounds for a small set of category leaders, and a tougher fundraising environment for everyone else.鈥�

And while AI adoption will continue to deepen rather than flatten out, the industry will also be watching the stock market closely. The conversation around IPOs is heating up for mature fintech companies, though Overdorff notes that 鈥渢he timing may hinge on how other high-profile tech IPOs perform this year.鈥�

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To understand how institutional capital is navigating this gap, 黑料吃瓜 News recently interviewed , a partner at . Ranum has spent nearly 15 years at the firm, where he focuses on B2B enterprise software, security and industrial infrastructure. Prior to joining Sapphire, he spent 12 years as a product management and strategy executive at .

His recent investments include core infrastructure plays such as and , as well as the industrial AI platform .

In this e-mail interview, Ranum breaks down how the definition of net revenue retention is shifting, why he believes 2026 will see a historic run of major tech IPOs, and where real enterprise demand is materializing on the factory floor.

This interview has been edited for clarity and brevity.

黑料吃瓜 News: You鈥檝e been at Sapphire for 15 years. Right now, public market software multiples are at decade lows as Wall Street worries about AI disruption, while private AI valuations are hitting record highs. As a growth investor caught in the middle, how are you valuing companies today? Are traditional growth metrics like net revenue retention still the gold standard, or has the math completely changed?聽

Ranum: The gap between public and private market signals right now is unlike anything I’ve seen. I think it creates a real opportunity for investors who can make sense of it. Public software multiples have come down hard, while private AI valuations are hitting record highs. Those two things can’t both be right indefinitely, but the fundamentals underneath are holding up. Gross margins, free cash flow, and NDR have actually improved. The market is broadly pricing in disruption risk, but the companies that are genuinely building enterprise value are still being built.

What that means for how I evaluate companies is that I’m spending more time on whether something is genuinely embedded in how enterprises work, not just whether the numbers look good today. NRR still matters. It tells you whether customers are finding real value. But it’s a lagging indicator. What tells me more is whether switching away from a product would meaningfully disrupt operations. If the answer is yes, that’s a more durable signal than any retention metric.

The current regulatory environment has essentially frozen large-scale tech M&A, and the IPO market is sluggish. If the traditional exit pathways are bottlenecked, how does that change the way you underwrite a Series B or C bet? Do companies just have to stay private and build to massive scale longer than they used to?聽

Ranum: I鈥檇 push back a bit on the framing that M&A is frozen. Software M&A activity actually picked up meaningfully in 2025, with deal value rising 40% year over year to $334 billion across 678 transactions. We saw that in our own portfolio with over half a dozen acquisitions in the past six months. What鈥檚 changed is the pricing. The valuations are being reset, but the deals are getting done.

On IPOs, I believe 2026 is shaping up to be a historic year, with having gone public, having filed, and reportedly set to file soon. If they follow through, we’re looking at some of the largest IPOs ever over the next several months. That’s a remarkable moment. Below that tier, though, the picture is more nuanced. Companies that meet today’s higher bar will wait for more favorable conditions, likely into 2027 or beyond. That means you have to build accordingly, focusing on margin alongside revenue, so you have real optionality when the time comes. The secondary market also helps, giving companies and their investors more flexibility as they wait.

You used to love investing in what you called 鈥渂oring software,鈥� or tools that quietly automated mundane enterprise tasks. Today, every software company claims to be an AI company. In 2026, does traditional SaaS even exist as a viable investment category anymore, or is a software startup inherently unbackable if it isn鈥檛 AI-native from day one?

Ranum: I don鈥檛 think the narrative is AI vs. SaaS. Instead, it’s AI plus SaaS. The companies that are struggling aren’t struggling because they’re SaaS businesses. They’re struggling because investors are in a 鈥渟how me鈥� era, and they don’t have clear answers yet.

Show me the free cash flow. Show me the path to profitability. Show me how AI is actually helping you win. You can’t get a stock bump anymore just by claiming you’re integrating AI. The market wants evidence of monetization.

The way I think about it is whether a company is building something that fundamentally changes how work gets done, or just layering AI on top of a workflow that a human is still doing. We used to back systems of record and workflow companies where the human was doing all the work. Now we’re in a position where the system itself can come in and actually do some of those tasks. That’s a different category of value entirely, and it changes what we look for. The bar has moved, but the opportunity is very real for the companies that can clear it.

Your core thesis is that the LLM stack is fracturing into distinct, standalone billion-dollar layers, such as orchestration (LangChain) and identity (WorkOS). But we鈥檙e seeing a massive border war. Big model providers like OpenAI are building their own tools, and data giants like are buying up security tools. How do standalone startups protect their turf when giants encroach from both sides?

Ranum: Both fracturing and consolidation are happening simultaneously, and I think that’s actually the right way to think about it. The moat isn’t about being first in a category. It’s about becoming genuinely embedded in how enterprises work. The companies I’m most excited about are the ones capturing orchestrated workflows in which the enterprise’s actual processes run through the product. That makes them very hard to displace, regardless of what the giants are building around them.

Because of your background at SAP, you know how enterprise buyers think. Right now, CFOs are looking at massive AI pilot bills and demanding to see actual ROI. When a startup is pitching an enterprise on a software governance or security tool, how do they defend that line item to a cynical CFO before the enterprise has even fully figured out its core AI strategy?聽

Ranum: What we consistently hear from buyers is that trust has become what actually separates the market. Security, governance, compliance, and auditability aren’t nice-to-haves anymore. They’re what make an AI deployment defensible when the CFO or the board asks hard questions.

And cost predictability is right alongside that. We’re in an era of greater focus on ROI, and enterprises want to know what this will cost them at scale before they commit. The vendors that can answer that question clearly are winning deals over the ones that can’t.

It feels like Silicon Valley is obsessed with the glamour of humanoid robots right now. Meanwhile, Sapphire鈥檚 big bets in this space, like Tractian, focus on practical, unglamorous industrial AI and predictive maintenance. Are humanoid robots an expensive venture capital distraction right now? Where is the actual, contract-signing enterprise demand on the factory floor today?聽

Ranum: The near-term ROI story is in constrained, high-value industrial settings such as packing, picking, inspection, and maintenance. These environments have clear labor economics, manageable deployment risk, and real buying cycles. That’s where the contracts are getting signed today.

Our portfolio company Tractian is a good example of what that looks like in practice. Unplanned downtime costs the world’s 500 largest companies roughly 11% of their revenue annually, which is a massive, measurable problem.

Tractian addresses it directly by combining sensor hardware with AI that detects early warning signs of equipment failure. The value proposition is concrete before you sign the contract, and the platform gets smarter the longer you use it. That’s the kind of embedded, compounding value we look for.

The humanoid era will come, but the gradient approach beats the all-or-nothing bet for near-term value creation. Start with specific, well-defined tasks where the payoff is obvious and work from there. The market is ready for that today.

Heavy industry and manufacturing are notoriously slow to change. A startup can’t just plug a modern AI API into a 30-year-old machine on a factory floor. For founders trying to build in the industrial tech space, is the winning strategy to build entirely new autonomous hardware, or is the bigger venture opportunity in retrofitting the world’s existing infrastructure with smart software?聽

Ranum: I believe the winning strategy is smart software layered on top of existing infrastructure rather than replacing it. Factories aren’t going to rip out 30-year-old machines because a startup has a better alternative. That’s just not how it works. The opportunity is in making those machines intelligent.

That said, the hardware-plus-software combination really does matter. You can’t get the data without the sensors. But the durable value is in the software layer that keeps learning over time. That’s where I鈥檓 focused.

In pure software, a buggy AI agent might mean a broken spreadsheet or a weird email draft 鈥� annoying, but fixable. In robotics and industrial tech, a mistake means a factory line shutting down or a broken multimillion-dollar asset. From a venture perspective, how much harder is it to scale a robotics startup when the cost of product failure is so high in the physical world?聽

Ranum: I’d actually reframe the question. The cost of failure in physical environments is what makes the value proposition defensible. When the downside of getting it wrong is measurable, the upside of getting it right is equally concrete. You can walk into a sales conversation and show a customer exactly what prevention is worth before they sign anything. That’s a different conversation than selling software, where ROI takes quarters to show up.

From a scaling perspective, the key is discipline about where you deploy first.

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