What are the fundraising trends in the generative AI market?
In our generative AI market deck, you will find everything you need to understand the market
SUMMARY
This report analyzes the generative AI market from January 2024 through July 2026, using disclosed equity rounds of at least $300,000 for pure-play companies whose core business is generative models, generative AI tooling, generative AI applications, creative AI, governance, or implementation services. The freshest sample is the January through July 2026 dataset: 25 disclosed deals across 24 unique companies, representing about $240.0 billion of disclosed capital.
The generative AI market is receiving much more capital than before, but the increase is not broad-based. YTD 2026 capital is about 5.1x the comparable 2025 period, yet the number of deals is essentially flat at 25 versus 26.
The market is extraordinarily concentrated. In YTD 2026, the largest deal captured 50.8% of disclosed capital, the top three captured 90.4%, and the top five captured 99.0%.
The average round size is not a useful description of ordinary startup fundraising. The YTD 2026 average round is about $9.6 billion, while the median is $65 million, which means the mean is mostly measuring OpenAI, Anthropic, and xAI rather than the typical company.
Foundation Model APIs dominate dollars, not deal count. The category represents 24.0% of YTD 2026 deals but 98.9% of disclosed capital, making the dollar market primarily a frontier-model recapitalization story.
Deal formation is more balanced beneath the model layer. GenAI Developer Platforms lead YTD 2026 deal count with 7 deals, while Foundation Model APIs and Enterprise GenAI Applications each have 6 deals.
The stage mix is split in two. Series A is the most common YTD 2026 stage by deal count at 52.0%, but Series D+ captures 99.1% of capital, which shows a market that is early in product formation and late-stage in infrastructure financing at the same time.
First financings remain active, but they are small relative to the mega-rounds. First financings represent 48.0% of YTD 2026 deals but only 0.8% of capital, so investors are still creating new options while reserving almost all dollars for perceived winners.
North America is the clear capital center of the generative AI market. It accounts for 88.0% of YTD 2026 deals and 99.8% of disclosed capital, while Europe and Asia-Pacific appear through a few important but narrower examples.
The main market interpretation is simple: the generative AI market is not cooling, but it is becoming more bifurcated. A few foundation-model companies are absorbing infrastructure-scale capital, while the rest of the market experiments across agents, developer tooling, enterprise workflows, creative media, governance, and services.
This chart, featured in our generative AI market deck, illustrates how revenue is distributed across customer segments in the generative AI market
Is more or less capital going into the generative AI market?
More capital is going into the generative AI market, and the answer is not subtle: disclosed funding has increased dramatically. The full-year comparison shows the market rising from about $27.7 billion in 2024 to about $75.9 billion in 2025, while the fresher January through July 2026 window reached about $240.0 billion.
The practical takeaway is that the generative AI market is still expanding in dollar terms. Compared with the same January through July window in 2025, YTD 2026 capital is roughly 5.1x higher, even though deal count is slightly lower.
But this is not a broad, evenly distributed boom. In YTD 2026, the top three rounds captured 90.4% of disclosed capital, which means the funding story is mostly about a handful of frontier-model companies raising balance-sheet-scale rounds.
The cleaner reading is to look beyond the largest deal. Excluding the biggest YTD 2026 round, the market still shows about $118.0 billion of capital, far above the comparable 2025 period. Excluding the top three, the figure falls to about $23.0 billion, which is still far above the comparable 2025 top-three-excluded figure of about $2.8 billion.
So, more capital is going into the generative AI market, but most of the incremental capital is going into infrastructure-scale frontier AI companies rather than the full startup universe.
Is generative AI funding driven by more deals or larger rounds?
Generative AI funding is being driven much more by larger rounds than by more deals. YTD 2026 has 25 deals, compared with 26 deals in the comparable 2025 period, but capital rose from about $47.2 billion to about $240.0 billion.
The median round size confirms the point. The median fell from $107.5 million in the comparable 2025 period to $65 million in YTD 2026, so the typical disclosed deal is not getting larger.
The average moved the other way, rising from about $1.8 billion to about $9.6 billion. When the average rises while the median falls, the market is not broadly inflating; it is becoming more top-heavy.
The full-year comparison is slightly different. In 2025, the generative AI market had both more deals and larger rounds than in 2024, with deal count rising from 46 to 73 and total capital rising from about $27.7 billion to about $75.9 billion. In 2026 so far, the expansion is mainly round-size driven.
For deeper benchmarks on deal-size distribution and concentration in the generative AI market, see the full generative AI market report.
Is generative AI capital moving toward later-stage or earlier-stage companies?
Generative AI capital is moving decisively toward later-stage companies in dollar terms, even though deal activity is heavily early-stage. In YTD 2026, Series D+ rounds captured 99.1% of disclosed capital, while Series A was the most common stage by deal count at 52.0%.
That split is the key to understanding the market. The generative AI market is early in application-layer company formation but late-stage in foundation-model financing.
Seed and Series A rounds together represented 76.0% of YTD 2026 deals, but only 0.9% of capital. That means many new companies are being financed, but they are not where the enormous checks are going.
The late-stage story is dominated by foundation-model companies. OpenAI, Anthropic, and xAI are not raising normal growth rounds; they are raising capital for compute, distribution, talent, and platform survival.
The honest interpretation is that the generative AI market is not simply moving earlier or later. It is bifurcating: many early-stage experiments below, a few late-stage capital giants above, and a relatively thin middle between them.
This chart, featured in our generative AI market deck, compares the main business model options for generative AI SaaS platforms
Is the generative AI market maturing or still experimental?
The generative AI market is both maturing and still experimental, depending on which layer is being measured. The financing structure is mature at the top because Series D+ rounds capture nearly all YTD 2026 capital, but the product landscape remains experimental because Seed and Series A rounds dominate deal count.
Foundation-model financing looks mature because only a few companies can raise at frontier scale. That part of the market is no longer a wide-open startup formation zone; it increasingly resembles strategic infrastructure financing.
The application and tooling layers are less settled. GenAI Developer Platforms led YTD 2026 deal count with 7 deals, while Enterprise GenAI Applications and Foundation Model APIs each had 6 deals. That shows investors are still testing where durable value will accrue beneath the model layer.
The median round of $65 million is large by normal venture standards, but tiny relative to the mega-rounds. This confirms that the market has two clocks running at once: infrastructure companies are scaling aggressively, while product-layer companies are still proving what works in real workflows.
The best reading is that the generative AI market is maturing in capital hierarchy but still experimental in product architecture.
Are new startups still entering the generative AI market?
Yes, new startups are still entering the generative AI market at a meaningful rate. First financings represented 48.0% of YTD 2026 deals, which is a strong company-formation signal.
That signal matters because it disproves the idea that generative AI has become a closed market. Investors are still backing new companies in enterprise applications, developer platforms, governance, and foundation-model-adjacent categories.
But the capital attached to these first financings is small relative to the total market. First financings represented only 0.8% of YTD 2026 capital, which means investors are buying options in new companies while putting conviction capital into known strategic assets.
Enterprise GenAI Applications have the clearest new-company formation signal. The category had 6 YTD 2026 deals, all of them first financings, and raised about $1.4 billion.
For more context on where new company formation is appearing across applications, agents, tooling, and governance, see the generative AI market deck.
Are more investors entering the generative AI market?
Yes, more investors are active in the generative AI market, but the important question is not just how many investors appear. The better question is which investors are showing up repeatedly and where they are placing their bets.
The YTD 2026 dataset includes approximately 89 unique disclosed investors, excluding generic angels, others, and undisclosed investors. It also includes approximately 39 unique tier-1 investors, which shows that the category still attracts major institutional attention.
The most active disclosed investor is Khosla Ventures with 5 deals. Salesforce Ventures follows with 4, while Coatue, ICONIQ, and Nvidia each appear in 3 deals.
That investor mix is revealing. Khosla Ventures appears around frontier-model-adjacent, reliability, and enterprise AI bets, while Salesforce Ventures points toward workflow integration, enterprise distribution, services, coding, and AI-native monetization.
The market is not just attracting more money; it is attracting strategic investors whose distribution, compute access, platform relationships, and enterprise channels can shape the structure of the generative AI market itself.
This chart, featured in our generative AI market deck, shows annual funding in generative AI startups
Are top investors getting more or less active in generative AI?
Top investors are still very active in the generative AI market, but their activity is becoming more selective and more strategically targeted. The YTD 2026 investor leaderboard is led by Khosla Ventures, Salesforce Ventures, Coatue, ICONIQ, Nvidia, MGX, Sequoia Capital, Andreessen Horowitz, SoftBank, GIC, Dragoneer, Founders Fund, General Catalyst, and OpenAI.
The signal is not only financial. Nvidia, Salesforce Ventures, Microsoft, SoftBank, OpenAI, MGX, and cloud-linked or platform-linked investors matter because generative AI outcomes depend on compute, distribution, enterprise access, and ecosystem control.
OpenAI is especially important because it appears on both sides of the market. It is a mega-raise recipient and also an investor in companies such as Isara and Poetic, which suggests frontier labs are helping shape the orchestration and application ecosystem around their own models.
The investor pattern also suggests that the credibility bar has moved up. Investors are not just backing demo-quality products; they are backing companies that can claim operational reliability, enterprise integration, model-scale advantage, or distribution leverage.
So, top investors are active, but they are not spraying capital evenly across every generative AI narrative. They are concentrating around scale, reliability, enterprise workflow, and platform adjacency.
Which generative AI subcategories are gaining momentum?
GenAI Developer Platforms, Enterprise GenAI Applications, and reliability-oriented tools are the clearest subcategories gaining momentum in the generative AI market. Developer platforms led YTD 2026 deal count with 7 deals, representing 28.0% of the total.
The developer-platform shift was already visible in 2025. The category moved from 5 deals and about $341 million in 2024 to 18 deals and about $5.6 billion in 2025, which is a major structural gain.
Enterprise GenAI Applications also remain strong. In YTD 2026, the category produced 6 deals, all first financings, and about $1.4 billion of capital. That suggests investors are still searching for new workflow-level winners.
Governance, observability, orchestration, and verification are also gaining strategic attention, even if their capital share remains small. Deals such as Pramaana Labs, Runlayer, Sazabi, Sycamore, Poetic, and Scaled Cognition point to a market moving from demo quality toward production controllability.
For a deeper view of the subcategory shifts inside the generative AI market, see the deeper analysis of the generative AI market.
Which generative AI subcategories are losing momentum?
GenAI Services and broad creative-tool formation are the clearest weak spots in the generative AI market. GenAI Services had only one YTD 2026 deal, GenerativeX at $4 million, representing 4.0% of deals and effectively 0.0% of capital.
The services category may still be important commercially, because enterprises need help implementing generative AI. But venture capital is favoring software/IP leverage, repeatable tooling, and model-linked products over labor-heavy implementation models.
Creative GenAI Tools are not disappearing, but the pattern has changed. The category had only 3 YTD 2026 deals, while most of the capital went to scaled specialists such as ElevenLabs and Runway.
That means creative GenAI has moved past the early Cambrian seed phase. Investors appear to be backing category leaders rather than funding a broad wave of new creative-tool entrants.
The other underfunded area is governance relative to strategic importance. GenAI Governance Tools represent 8.0% of YTD 2026 deals but only 0.02% of capital, which suggests investors still see the layer as enabling infrastructure rather than a winner-take-most destination.
This chart, featured in our generative AI market deck, looks at OpenAI’s strategy in generative AI
Which regions are gaining momentum in generative AI funding?
North America is gaining the most momentum in generative AI funding because it captures almost all of the incremental capital. In YTD 2026, North America represented 88.0% of deals and 99.8% of disclosed capital.
The European signal is narrower but still meaningful. Europe had one included YTD 2026 deal, ElevenLabs, which raised $500 million and shows that Europe can still produce scaled creative GenAI winners.
Asia-Pacific is gaining visibility in tooling and governance rather than frontier-model scale. Dify and Pramaana Labs together accounted for 2 YTD 2026 deals and $57 million, pointing to product and reliability specialization.
The practical interpretation is that non-North American regions are present but not yet driving the capital cycle. Europe and Asia-Pacific can produce important companies, but they are not matching North America’s depth of capital, hyperscaler relationships, and frontier-model financing base.
For ongoing regional tracking across North America, Europe, Asia-Pacific, and other regions, see the market report covering regional generative AI funding.
Which regions are losing momentum in generative AI funding?
Europe is losing momentum by breadth in the YTD 2026 generative AI dataset, while the Middle East, Latin America, and Africa are largely absent from the disclosed funding record. Europe still has important companies, but YTD 2026 shows only one qualifying disclosed deal.
This is a very different signal from full-year 2025, when Europe had 5 deals and about $2.7 billion of disclosed capital. Mistral AI, ElevenLabs, Synthesia, Poolside, and Lovable show that Europe can produce major generative AI companies, but not yet a funding ecosystem with North American breadth.
The Middle East had 2 deals in full-year 2025, but no qualifying YTD 2026 company-origin deals in the dataset. That does not mean Middle Eastern capital is absent, because investors such as MGX and Gulf-linked capital appear in large rounds, but company-origin momentum is not visible in the YTD 2026 sample.
Latin America and Africa remain absent in the disclosed datasets used for this tracker. That absence should be read as a public funding visibility issue as well as an ecosystem depth issue, because smaller private rounds may not appear in public sources.
The better interpretation is that the generative AI market is globally relevant but not globally balanced in financing.
Is generative AI becoming more global or regionally concentrated?
The generative AI market is becoming more regionally concentrated in capital terms, even though the technology and customer demand are global. North America’s capital share was about 95.0% in 2024, about 96.1% in 2025, and 99.8% in YTD 2026.
The deal-count picture is less extreme but still concentrated. North America represented 91.3% of 2024 deals, 87.7% of 2025 deals, and 88.0% of YTD 2026 deals.
That means the generative AI market has international exceptions, not a balanced global capital base. Europe and Asia-Pacific appear through important companies, but the largest checks, strategic investors, and compute-linked capital pools remain centered in North America.
The 2026 regional mix makes this especially clear. North America had 22 of 25 deals, Europe had one scaled creative GenAI deal, and Asia-Pacific had two smaller tooling or governance deals.
The best phrasing is that the generative AI market is globally relevant but regionally financed.
This chart, featured in our generative AI market deck, shows how enterprise copilots have driven growth in the generative AI market over time
Is generative AI capital moving toward proven winners or new opportunities?
Generative AI capital is moving toward proven winners, while deal count still shows interest in new opportunities. In YTD 2026, first financings were 48.0% of deals but only 0.8% of capital.
This is the central split in the market. Investors are willing to fund new generative AI experiments, but the largest checks are going to companies with strategic assets, distribution, model-scale proof, or existing market power.
The same pattern appeared in the comparable 2025 period, when first financings were about 30.8% of deals but only about 0.6% of capital. Across periods, first-financing capital share stays far below first-financing deal share.
The category view reinforces the point. Foundation Model APIs captured 98.9% of YTD 2026 capital with only 24.0% of deals, while developer platforms and enterprise applications accounted for more deal formation but much less capital.
For the full market view on repeat raisers, first financings, and follow-on concentration, see the full market view on generative AI winners.
Is the generative AI market becoming winner-takes-most?
Yes, the generative AI market is becoming winner-takes-most in capital allocation. In YTD 2026, the largest deal captured 50.8% of all capital, the top three captured 90.4%, the top five captured 99.0%, and the bottom half of deals captured only 0.14%.
That is not a normal venture distribution. It is a winner-takes-most capital structure where a few companies determine the direction of the headline market.
The trend has intensified over time. In 2024, the largest deal captured 23.8% of capital. In 2025, the largest deal captured 52.7%. In YTD 2026, the largest deal captured 50.8% while the top three captured a much higher 90.4%.
The largest-deal-to-median ratio makes the point even sharper. The largest YTD 2026 deal was about 1,877x the median deal, which puts the biggest companies in a different financing universe from the rest of the market.
The generative AI market is not winner-takes-all in company formation. Many companies can still raise. But in dollars, the market is clearly winner-takes-most.
Is the next wave of generative AI winners becoming visible?
Yes, the next wave of generative AI winners is becoming visible, but it is not evenly distributed across categories. The strongest emerging areas are AI coding and software factories, enterprise agents, healthcare and legal AI, developer platforms for agents, reliability infrastructure, governance, and scaled creative media models.
Repeat fundraising is the strongest validation signal. Companies such as Anthropic, OpenAI, xAI, ElevenLabs, Runway, Harvey, Abridge, Glean, Cursor/Anysphere, Fireworks AI, Perplexity, and Together AI appear as repeat raisers or scaled leaders across the broader 2024 to 2026 evidence base.
The YTD 2026 first-financing pattern shows where the newer layer is forming. Enterprise applications include AI-native workspaces, enterprise automation, agentic financial modeling, and reliability-focused enterprise systems.
Developer platforms point to orchestration, agentic workflows, AI-native monetization, app-native agents, coding observability, and software factories. These are attempts to build the operating layer for AI-native work, not just standalone applications.
The caution is that visible does not mean decided. The next wave is most credible where companies control workflow, data, distribution, reliability, or developer adoption. Generic model wrappers are much less defensible.
As this chart shows, and as featured in our generative AI market deck, search interest in LLMs has surged
Is the generative AI funding landscape fragmenting or consolidating?
The generative AI funding landscape is consolidating in dollars and fragmenting in deal activity. This is the central structure of the market.
The consolidation side is obvious. In YTD 2026, Foundation Model APIs captured 98.9% of disclosed capital, and the top three rounds captured 90.4% of capital.
The fragmentation side is visible in deal count. In YTD 2026, GenAI Developer Platforms had 7 deals, Foundation Model APIs had 6, Enterprise GenAI Applications had 6, Creative GenAI Tools had 3, Governance had 2, and Services had 1.
The full-year 2025 comparison shows the same tension. Enterprise GenAI Applications led deal count with 32 deals, Developer Platforms had 18, Foundation Model APIs had 12, Creative GenAI had 8, Governance had 2, and Services had 1.
So, the generative AI market is becoming a two-level market: a concentrated infrastructure layer and a fragmented application, tooling, governance, and services layer.
Where is investor attention shifting in generative AI?
Investor attention in the generative AI market is shifting toward agentic systems, developer infrastructure, enterprise workflow automation, reliability, governance, and scaled model or media platforms. The shift is not away from foundation models; the shift is in the incremental company-formation layer beneath them.
The clearest shift from 2024 to 2025 was toward GenAI Developer Platforms. The category moved from 5 deals and about $341 million in 2024 to 18 deals and about $5.6 billion in 2025.
The 2026 evidence sharpens that story. Developer platforms were the largest category by deal count, with 7 deals, spanning agentic workflows, app-native agents, AI-native monetization, coding observability, multi-agent orchestration, and software factories.
Enterprise applications remain important, but the focus is shifting toward high-value workflows rather than generic assistants. Healthcare, legal, financial modeling, accounting, customer operations, enterprise process automation, and coding keep recurring because they have clear budgets and measurable productivity claims.
The strongest interpretation is that investor attention is shifting from novelty to controllability. The winning question is no longer only whether a model can generate impressive output; it is whether the system can be deployed reliably, governed safely, integrated into workflows, and monetized at scale.
For more detail on where investor attention is shifting across agents, tooling, governance, workflow applications, and foundation models, see the generative AI market report.
INSIGHTS
The insights below come from reviewing the disclosed equity funding dataset for pure-play generative AI companies from January 2024 through July 2026, with particular emphasis on the YTD 2026 pattern.
- The generative AI market should be analyzed as two markets operating at once: a capital-intensive foundation-model market and a broader but smaller-check application and tooling market. Aggregate funding totals mainly describe the first market, while deal count mainly describes the second.
- The median round is a better indicator of normal startup financing than the average round. In YTD 2026, the average round was about $9.6 billion while the median was $65 million, so the average mostly measures mega-round distortion.
- A falling median round alongside rising total capital is not bearish by itself. It means the market is bifurcating: the largest companies are raising unprecedented sums while the typical company is still raising venture-scale rounds.
- Capital concentration is now more extreme than category concentration. Foundation Model APIs dominate dollars because a few companies dominate the category, not because many foundation-model startups are being funded at similar scale.
- Deal count is the better signal for where experimentation is happening. In YTD 2026, Developer Platforms, Enterprise Applications, and Foundation Model APIs had similar deal counts, but radically different capital shares.
- First-financing share proves that new-company formation has not stopped. The 48.0% first-financing share in YTD 2026 shows that investors are still underwriting new generative AI startups even as dollars concentrate around incumbents.
- First-financing capital share proves that new-company formation is not where the main dollars are going. First financings represented 48.0% of YTD 2026 deals but less than 1% of capital, a sharp optionality-versus-conviction split.
- The generative AI market is maturing faster in financing structure than in product structure. Late-stage capital dominance suggests maturity, while high early-stage deal formation suggests product categories are still being invented.
- Foundation-model financing increasingly resembles strategic infrastructure financing rather than normal venture funding. The size of OpenAI, Anthropic, and xAI rounds suggests capital is being raised to fund compute, distribution, talent, and platform survival.
- The application layer is not dead; it is underweighted by capital-share metrics because the model layer is so enormous. Enterprise GenAI Applications remain one of the strongest categories by deal count and first financings.
- Developer platforms are the most important structural gainer outside foundation models. The rise from 5 deals in 2024 to 18 deals in 2025, followed by leading deal count in YTD 2026, shows a durable shift toward build-and-operate infrastructure.
- Governance and reliability are still underpriced by venture dollars. Governance tools appear repeatedly, but their capital share remains near zero, suggesting smaller market-size assumptions, earlier commercialization, or investor uncertainty about standalone outcomes.
- Creative GenAI has moved from exploration to scale-up selection. Deal count is not expanding broadly, but large rounds for scaled companies show investors are choosing category leaders rather than funding many new creative-tool entrants.
- The regional story is not globalization; it is North American capital dominance with international exceptions. Europe and Asia-Pacific can produce important companies, but they have not produced a funding base comparable to North America.
- Strategic investors are becoming more important because generative AI outcomes depend on compute, distribution, enterprise channels, and platform ecosystems. Nvidia, Salesforce Ventures, Microsoft, SoftBank, OpenAI, and cloud-linked investors are not just financial participants; they shape market structure.
- Repeat fundraising is a stronger validation signal than one-off hype. Companies appearing across multiple years have a much stronger claim to emerging-winner status than newly funded companies with only one announcement.
- The bottom half of deals carrying almost no capital is not a sign of irrelevance. It is the normal experimental substrate of the market, and many product discoveries may come from small rounds that barely register in dollar-share analysis.
- The largest category by capital and the largest category by deal count are different, which means narratives based only on dollars will misidentify where startup activity is happening. Foundation models dominate dollars; applications and tooling dominate formation.
- The market’s main bottleneck has shifted from model novelty to production reliability. The rise of orchestration, observability, verification, governance, and enterprise automation companies shows that investors are focusing on deployment constraints.
- Agentic AI is not one subcategory; it is a cross-category architecture. Agent-related companies appear in developer platforms, enterprise applications, governance, and model labs, which means agents should be treated as a market-wide design shift rather than a neat vertical.
- The most defensible application-layer companies are likely to be those with workflow depth, data advantage, compliance needs, or measurable ROI. Generic assistant wrappers face more platform-compression risk.
- The best forecasting rule for the generative AI market is to separate capital-intensity winners from workflow-adoption winners. Foundation-model companies may win by scale, compute, and distribution, while application and tooling companies must win by integration, reliability, data access, and measurable business outcomes.
This chart, featured in our generative AI market deck, shows how AI video generation technology has evolved over time
OUR METHODOLOGY TO BUILD THIS TRACKER
We built this generative AI funding tracker by reviewing publicly disclosed equity rounds raised by pure-play generative AI companies from January 2024 through July 2026. A company counts as pure-play when more than 80% of its activity is dedicated to products or services whose primary purpose is to create or transform content, code, media, software workflows, agents, or model-powered outputs using generative AI.
We applied four main filters to build the dataset. First, we only included equity rounds, so grants, debt, credit lines, structured financings, acquisitions, SPAC transactions, and business combinations are excluded. Second, we only counted rounds of $300,000 or more. Third, we only kept pure-play companies in the generative AI market, including foundation-model APIs, GenAI developer platforms, GenAI governance tools, enterprise GenAI applications, creative GenAI tools, and GenAI services. Fourth, every entry had to be confirmed by a direct company announcement, press release, tier-1 media report, specialized industry source, or relevant regional publication.
We excluded hardware, chips, AI data centers, general cloud infrastructure, non-generative AI, defense autonomy, generic automation, AI drug discovery outside the stated scope, and vertical AI companies where generative AI appeared to be an enabling feature rather than the core business. Undisclosed-amount rounds are excluded because including them would distort dollar-based metrics such as total capital, average round size, median round size, category share, and concentration ratios.
The final YTD 2026 dataset contains 25 disclosed deals across 24 unique companies, while the historical comparison set includes the verified disclosed public subsets for 2024 and 2025. The public nature of the tracker means stealth, private database-only, unannounced, and undisclosed-size rounds are necessarily missing. The tracker is therefore best read as a verified public funding view, not as a complete private-market database.
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