What are the fundraising trends in the consumer AI market?
In our updated market reports, you will find everything you need
SUMMARY
We analyzed publicly disclosed equity rounds raised by pure-play consumer AI companies across 2024, 2025, and year-to-date 2026. The market definition covers AI applications and devices sold directly to individuals for everyday personal use, including AI companion apps, personal assistant apps, AI search apps, AI content creation apps, education AI apps, consumer productivity AI, AI wellness apps, and voice AI apps.
The consumer AI market remains large, but it is not expanding evenly. Full-year capital slipped only slightly from about $1.49B in 2024 to about $1.42B in 2025, while year-to-date 2026 capital is almost flat against the comparable 2025 period at roughly $635M versus $640M.
The headline funding total hides a much thinner broad market. Capital excluding rounds above $50M fell from about $287M in 2024 to about $170M in 2025, and year-to-date 2026 has only about $129M in non-megaround capital.
Consumer AI funding is increasingly driven by a small number of large rounds rather than by a rising number of companies. The median round fell from $43M in 2024 to $15M in 2025, while the average round rose from about $59M to about $65M.
The market is maturing at the top and still experimental underneath. Series B and later rounds captured 77.5% of capital in 2024, 81.0% in 2025, and 63.2% so far in 2026, while seed rounds remained roughly half of deal activity in 2025 and 2026.
New startups are still entering the consumer AI market. First financings represented 40% of deals in 2024, 50% in 2025, and 50% so far in 2026, but they captured only 12%, 6%, and 7% of capital respectively.
The category leadership has rotated sharply. AI Search Apps dominated 2025 with about 71% of capital, while AI Content Creation Apps dominate year-to-date 2026 with about 75% of capital.
North America remains the center of gravity for consumer AI funding. It captured 88% of capital in 2024, 98% in 2025, and 94% so far in 2026, even as Asia-Pacific gained deal-count momentum in 2026.
The consumer AI market is becoming winner-takes-most by capital. The top five deals represented 58% of capital in 2024, 81% in 2025, and 85% so far in 2026.
The practical interpretation is clear: consumer AI is not a broad rising tide. Capital is concentrating around companies that can plausibly control daily user behavior, creative workflows, search, voice, shopping, personal context, or other recurring interfaces.
Is more or less capital going into the consumer AI market?
Less capital went into the consumer AI market in 2025 than in 2024, but the decline was modest, and the freshest 2026 signal looks almost flat against the comparable period in 2025. Full-year consumer AI funding declined from about $1.49B in 2024 to about $1.42B in 2025, while year-to-date 2026 funding reached about $635M versus about $640M over the comparable 2025 period.
The right reading is not that consumer AI capital has disappeared. The better reading is that consumer AI funding has become more selective, with dollars rotating between categories and concentrating in a smaller number of companies.
In 2024, AI Search Apps and AI Content Creation Apps together dominated the market, led by Perplexity, Suno, ElevenLabs, Pika, Ideogram, Luma, and other large creative or search rounds. In 2025, AI Search Apps became the clear capital center with about $1.01B, or 71% of total funding.
Year-to-date 2026 looks different again. AI Content Creation Apps have raised about $477M, or 75% of capital, while strict qualifying AI Search App deals have not appeared in the 2026 window.
The most important caution is that non-megaround capital is falling. Funding excluding rounds above $50M dropped from about $287M in 2024 to about $170M in 2025, then to about $129M so far in 2026. That means headline capital is holding up, but the broad base of ordinary consumer AI financing is thinner.
Is consumer AI funding activity driven by more deals or larger rounds?
Consumer AI funding activity is driven much more by larger rounds than by more deals. Deal count declined from 25 in 2024 to 22 in 2025, yet total capital only slipped from about $1.49B to about $1.42B, which means the market held up because a few large rounds carried the total.
The median and average round sizes make the split very clear. The median round fell from $43M in 2024 to $15M in 2025, while the average round increased from about $59M to about $65M. A falling median and rising average is the classic sign of a more top-heavy funding market.
The largest-to-median ratio also jumped from 11.6x in 2024 to 33.3x in 2025. That confirms that the typical consumer AI company raised far less in 2025, while the biggest companies pulled the headline market upward.
The freshest comparison adds nuance. So far in 2026, there are 14 qualifying deals versus 6 over the comparable 2025 period, but capital is almost the same, at about $635M versus $640M. So 2026 has broader deal formation, but not more capital.
The consumer AI market now has two layers. One layer is a broad experimental layer of small seed and Series A rounds. The other layer is a narrow platform layer where a handful of companies raise $50M-plus or $100M-plus rounds.
Is consumer AI capital moving toward later-stage or earlier-stage companies?
Consumer AI capital is moving toward later-stage companies by dollars, even though earlier-stage companies still dominate deal count. In 2024, Seed and Series A rounds represented 60% of deals but only 22.5% of capital. In 2025, early-stage rounds from Pre-seed through Series A represented about 77% of deals but only 19% of capital.
The full-year comparison is the cleanest maturity signal. Late-stage rounds, defined as Series B and later, captured about $1.15B in 2024 and again about $1.15B in 2025, even though total market funding declined slightly.
Early-stage capital fell from about $334M in 2024 to about $270M in 2025. That means the durable dollars stayed with later-stage or already validated companies.
Year-to-date 2026 is slightly more balanced, with early-stage rounds capturing 36.8% of capital. But the 2026 figure is still distorted by Runway’s $315M Series D+ round, which alone accounts for nearly half of all year-to-date capital.
So the consumer AI market is early-stage by number of companies and later-stage by dollars. Investors are still seeding new ideas, but the serious money is going to companies with visible traction, technical depth, distribution, revenue, or platform potential.
Is the consumer AI market maturing or still experimental?
The consumer AI market is maturing at the top and still experimental underneath. Late-stage capital dominated 2024 and 2025, while seed rounds remained a major share of deal activity, which means the market is not in a single stage of development.
The maturity signal is strongest in the capital split. Series B and later rounds represented 77.5% of capital in 2024, 81.0% in 2025, and 63.2% so far in 2026. Those are not the numbers of a purely experimental market.
But the experimental signal is also strong. Seed rounds represented 44% of deals in 2024, 45.5% in 2025, and 50% so far in 2026. First financings also rose from 40% of deals in 2024 to 50% in both 2025 and year-to-date 2026.
The market is therefore barbell-shaped. Companies like Perplexity, Runway, Sesame, You.com, Genspark, Higgsfield, Astrocade, and Town are being funded as possible platform companies, while many companion, wellness, productivity, education, and assistant startups are still raising discovery-stage capital.
The consumer AI market is not mature across every category. AI Search Apps and AI Content Creation Apps have produced the strongest capital-backed leaders, while companion, wellness, education, and consumer productivity use cases remain earlier and less proven in funding terms.
Are new startups still entering the consumer AI market?
Yes, new startups are still entering the consumer AI market, but they are not receiving most of the capital. First financings represented 40% of deals in 2024, 50% in 2025, and 50% so far in 2026, which is a strong signal of continued company formation.
The capital share tells a more selective story. First financings captured only 12% of capital in 2024, 6.25% in 2025, and 7.3% so far in 2026. Investors are still willing to fund new consumer AI startups, but mostly with smaller checks.
This means the market is open but demanding. Founders can still enter the consumer AI market, but larger rounds require proof of retention, distribution, defensibility, monetization, safety, and recurring use.
The new-entrant mix is broad. Recent first financings appear across AI Companion Apps, Consumer Productivity AI, Education AI Apps, AI Wellness Apps, AI Content Creation Apps, and Personal Assistant Apps.
The practical takeaway is that consumer AI is not closed to startups. It is closed to vague claims. New companies can still raise, but the market is asking for sharper evidence than “AI for consumers.”
Are more investors entering the consumer AI market?
The consumer AI market still has a broad investor base, but there is not a clean full-year signal that more investors entered in 2025. The number of unique disclosed investors fell from about 90 in 2024 to about 67 in 2025, while year-to-date 2026 already has about 68 disclosed investors.
The 2026 figure is notable because it nearly matches the full-year 2025 investor count within a partial year. That suggests investor interest remains broad, even if the completed-year comparison shows fewer disclosed participants in 2025 than in 2024.
Tier-1 participation also remains meaningful. The number of unique tier-1 investors was about 33 in 2024, about 28 in 2025, and already about 27 so far in 2026.
The better interpretation is selectivity, not abandonment. Many major investors are still active in consumer AI, but their activity is focused on specific theses rather than on the market as a broad theme.
The investor-count signal should be read carefully because some rounds include long angel lists, while others disclose only limited participants. Still, the consumer AI market continues to attract top-tier venture firms, strategic investors, and specialist operators.
Are top investors getting more or less active in the consumer AI market?
Top investors are still active in the consumer AI market, but their activity is becoming more selective and more thesis-driven. In 2024, Andreessen Horowitz appeared in 7 qualifying deals, NVIDIA in 4, Nat Friedman and Daniel Gross in 4 each, and several other tier-1 investors appeared repeatedly.
In 2025, the repeat-investor list narrowed. NEA appeared in 3 deals, while Accel, Nvidia, IVP, SoftBank Vision Fund 2, Khosla Ventures, General Catalyst, and Forerunner Ventures each appeared in 2 deals.
Year-to-date 2026 still shows strong top-investor participation, but it is clustered around specific categories. Accel, Pear VC, Parable, Khosla Ventures, and Conviction appear more than once, while major rounds include investors such as General Atlantic, Nvidia, Sequoia, Google AI Futures Fund, Andreessen Horowitz, Forerunner, Kleiner Perkins, Prosus, Bain Capital Ventures, and Menlo Ventures.
The shift is not that elite investors are leaving consumer AI. The shift is that elite investors are no longer treating consumer AI as one broad, undifferentiated opportunity.
Top investors are concentrating around interface control, creative production, voice, shopping, personal context, and workflow ownership. The consumer AI market has moved from theme investing to thesis investing.
Which consumer AI subcategories are gaining momentum?
AI Content Creation Apps are gaining the clearest momentum in 2026. The category raised about $450M across 9 deals in 2024, collapsed to about $24M across 2 deals in 2025, and then rebounded to about $477M across 4 deals so far in 2026.
The 2026 rebound is not just a recovery in dollars. Runway, Higgsfield, Astrocade, and Sekai point to a new kind of content-creation funding: video generation, interactive entertainment, mini-app creation, game creation, and creator production infrastructure.
Personal Assistant Apps are also gaining momentum. The category raised $7M in 2024, $25M in 2025, and already about $92M so far in 2026. Town and Phia are the most important 2026 signals because they attach AI assistance to concrete workflows such as work context and shopping decisions.
Consumer Productivity AI is gaining deal-count momentum, though not yet capital momentum. The category had no qualifying deals in 2025 and two so far in 2026, but the combined capital is only about $8M.
AI Companion Apps are gaining in formation but not yet in dollar intensity. The category raised $9.4M in 2024, $44M in 2025, and $19.5M so far in 2026, which shows continued interest but not breakout capital conviction.
Which consumer AI subcategories are losing momentum?
AI Search Apps are losing visible momentum in the strict year-to-date 2026 consumer AI funding screen. AI Search Apps raised $812M in 2024 and $1.01B in 2025, but there are no strict qualifying pure-play consumer AI search rounds so far in 2026.
This should not be read as proof that AI search is weak. The better interpretation is that visible AI search funding may have already consolidated around companies such as Perplexity, Genspark, and You.com, or shifted into browsers, agents, enterprise search infrastructure, and broader platform products.
Voice AI Apps are mixed. The category raised $80M in 2024, $280M in 2025, and $30M so far in 2026. Sesame’s $250M round made 2025 unusually strong, while Equal’s $30M round keeps the 2026 category active but smaller.
Education AI Apps remain weak in the strict direct-consumer screen. Speak raised $78M in 2024, Oboe raised $16M in 2025, and ProLearn raised about $3.6M so far in 2026.
AI Wellness Apps are also not scaling in capital. The category raised $30M in 2024, $20.5M in 2025, and $5M so far in 2026, which suggests continued experimentation but limited investor willingness to fund large consumer wellness rounds.
Which regions are gaining momentum in the consumer AI market?
Asia-Pacific is gaining momentum in the consumer AI market by deal count, though not yet by capital scale. Asia-Pacific had 1 qualifying deal in 2024, 1 in 2025, and 4 so far in 2026.
The 2026 Asia-Pacific companies include Companion Labs, Banza, ProLearn, and Equal. These deals point to region-specific use cases such as vernacular entertainment, personal AI twins, education companions, and voice-based services.
The capital scale is still modest. Asia-Pacific has raised about $37M so far in 2026, compared with about $598M for North America. The region’s median deal size is about $3M, compared with about $31M for North America.
North America is still gaining or at least maintaining momentum by dollars. North America captured 88% of capital in 2024, 98% in 2025, and 94% so far in 2026.
The strongest geographic signal is therefore split: Asia-Pacific is gaining startup formation momentum, while North America continues to dominate scale funding.
Which regions are losing momentum in the consumer AI market?
Europe is losing momentum in the strict consumer AI market funding screen. Europe produced 3 qualifying deals and about $114M in 2024, then only 1 deal and $15M in 2025, and no qualifying deals so far in 2026.
The European slowdown is notable because Europe had credible consumer and prosumer AI companies in 2024, including ElevenLabs, Haiper, and Granola. The later periods show much less European scale financing under the strict direct-consumer filter.
North America is not losing momentum by capital, but its deal-share dominance is less absolute in 2026. North America had 91% of deals in 2025 and 71% so far in 2026, as Asia-Pacific deal formation increased.
Latin America, the Middle East, and Africa remain absent from the strict public funding screen across all periods. That absence does not prove there is no consumer AI demand in those regions, but it does show that publicly disclosed pure-play venture rounds above $300K are not yet visible there under the applied criteria.
The regional picture is therefore not simply “the U.S. wins and everyone else disappears.” It is more precise to say that Europe has faded, Asia-Pacific is forming more companies, and North America still captures the big checks.
Is the consumer AI market becoming more global or more regionally concentrated?
The consumer AI market is becoming more global by deal count in 2026, but it remains regionally concentrated by capital. North America has 71% of year-to-date 2026 deals but 94% of capital, while Asia-Pacific has 29% of deals but only 6% of capital.
The completed-year comparison points toward concentration. North America’s capital share rose from 88% in 2024 to 98% in 2025, while Europe and Asia-Pacific both declined in capital share.
The 2026 comparison partially reverses the deal-count pattern. Asia-Pacific’s deal count has already risen to 4 deals, compared with 1 in all of 2025.
But the capital-intensity gap remains too large to call the consumer AI market truly global by funding depth. North America’s median round so far in 2026 is about $31M, while Asia-Pacific’s median is about $3M.
So the consumer AI market is globalizing at the startup-formation layer, not at the scale-financing layer. Consumer AI products can reach global users, but venture funding remains heavily concentrated in North America.
Is consumer AI capital moving toward proven winners or new opportunities?
Consumer AI capital is moving toward proven winners, while deal count remains open to new opportunities. Follow-on rounds captured 88% of capital in 2024, 93.75% in 2025, and about 92.7% so far in 2026.
At the same time, first financings represented 40% of deals in 2024, 50% in 2025, and 50% so far in 2026. That means new opportunities are still being funded, but mostly with smaller checks.
The 2025 pattern was especially clear. Perplexity, Genspark, You.com, Sesame, Wispr Flow, Tolan, Born, Rosebud, and Bevel all represented follow-on or already validated companies absorbing much of the market’s capital.
The 2026 pattern is similar. Runway, Higgsfield, Astrocade, Town, Phia, Status AI, and Equal capture most of the dollars, while new entrants such as Companion Labs, Series, Banza, ProLearn, Sekai, Tomo, and Supermemory show continued formation at smaller scale.
The practical interpretation is that novelty is no longer enough. The consumer AI market funds new ideas, but it reserves large checks for companies with evidence of traction, distribution, defensibility, recurring behavior, or platform potential.
Is the consumer AI market becoming winner-takes-most?
Yes, the consumer AI market is becoming winner-takes-most by capital allocation, even though many new companies are still being funded. The top 5 deals captured 58% of capital in 2024, 81% in 2025, and 85% so far in 2026.
The top 10 deals show the same pattern. They captured about 81% of capital in 2024, 94% in 2025, and 98% so far in 2026.
The bottom half of deals confirms the concentration from the other direction. The bottom 50% of deals captured only 9.7% of capital in 2024, 4.85% in 2025, and 5.9% so far in 2026.
The market became especially concentrated in 2025, when the top 3 deals captured about 67% of all capital. Year-to-date 2026 remains similarly top-heavy, with the top 3 deals capturing about 71%.
Winner-takes-most is the right phrase because the market is not winner-takes-all. Many categories still have funded entrants, but only a small number of companies are absorbing the capital needed to shape market leadership.
Is the next wave of consumer AI winners becoming visible?
Yes, the next wave of consumer AI winners is becoming visible, but mainly in creation platforms and concrete assistant workflows. Runway, Higgsfield, Astrocade, and Sekai show that investor attention has moved toward products that let users generate video, games, mini-apps, and interactive media.
These companies are not being funded as simple consumer apps. They are being funded as creation platforms with repeatable output loops, creator adoption, production value, and potential prosumer economics.
The next wave is also becoming visible in Personal Assistant Apps. Town and Phia matter because they attach AI assistance to specific workflows rather than vague “general assistant” promises.
AI Companion Apps have visible candidates, including Status AI, Tolan, Born, Meela, Robyn, and Companion Labs. But companion companies have not yet raised at the same scale as search, voice, or creation leaders.
AI Search Apps may already have selected some of their visible winners. Perplexity, Genspark, and You.com absorbed much of the visible search funding in 2024 and 2025, while the 2026 funding window has shifted elsewhere.
Is the consumer AI funding landscape fragmenting or consolidating?
The consumer AI funding landscape is fragmenting by use case but consolidating by capital. Year-to-date 2026 deals appear across AI Content Creation Apps, Personal Assistant Apps, AI Companion Apps, Consumer Productivity AI, Voice AI Apps, AI Wellness Apps, and Education AI Apps.
That is a broad experimentation map. But the dollars are much narrower: AI Content Creation Apps and Personal Assistant Apps together capture about 90% of year-to-date 2026 capital.
The same pattern appeared in 2025, when AI Search Apps and Voice AI Apps together captured about 91% of total capital. The leading categories change, but the concentration structure stays the same.
Company-level concentration is even stronger. The top 5 deals captured 81% of capital in 2025 and 85% so far in 2026, while the bottom half of deals captured less than 6% in both periods.
So the consumer AI market is fragmenting at the experimentation layer and consolidating at the capital-allocation layer. Many behaviors are being tested, but only a few companies are receiving the money required to become durable category leaders.
Where is investor attention shifting in the consumer AI market?
Investor attention in the consumer AI market is shifting away from generic AI novelty and toward products that control repeated user behavior. The strongest current targets are creation workflows, personal assistants, voice and input layers, shopping decisions, memory, and interactive entertainment.
The clearest shift is from search-led funding to creation-led funding. AI Search Apps captured 71% of capital in 2025, while AI Content Creation Apps captured 75% so far in 2026.
That rotation does not mean AI search has become unimportant. It more likely means visible AI search leaders absorbed large funding rounds earlier, while 2026 investors are now underwriting the next set of creation and assistant platforms.
Investor attention is also shifting toward assistants with specific workflows. Town, Phia, Banza, Series, and Supermemory show interest in personal context, shopping, social coordination, memory, and everyday decision support.
Companion and wellness products continue to receive attention, but mostly in smaller rounds. The market seems interested in emotional engagement, but cautious about retention, safety, monetization, and reputational risk.
INSIGHTS
The insights below come from reviewing disclosed equity funding across the consumer AI market in 2024, 2025, and year-to-date 2026.
- The consumer AI market is not shrinking in a simple way; it is becoming more selective. Full-year capital fell only slightly from 2024 to 2025, and year-to-date 2026 capital is nearly flat against the comparable 2025 period, but non-megaround capital has become much thinner.
- The headline funding number is increasingly a poor proxy for market breadth. In 2025, the median round was only $15M while the average round was about $65M, meaning a few large rounds pulled the market upward while the typical company raised far less.
- The market’s center of gravity has moved from “many compelling AI apps” to “a few possible interface winners.” The largest checks went to search, voice, video, assistants, and creation platforms because those products might control daily user behavior rather than serve as occasional utilities.
- The consumer AI market is barbell-shaped. First financings are consistently 40% to 50% of deals, while follow-on rounds consistently capture roughly 88% to 94% of capital. Startup formation remains active, but scale capital is reserved for companies with prior validation.
- The most important funding question is no longer whether a company is “consumer AI.” The stronger question is whether the company owns a repeatable behavior, such as search, video creation, voice input, AI shopping, workflow assistance, or social interaction.
- AI Search Apps looked like the capital winner in 2024 and 2025, but the absence of strict qualifying 2026 search rounds suggests the category may have entered a consolidation phase. New search funding may now be happening through browsers, agents, infrastructure, or already-funded incumbents rather than fresh standalone consumer-search rounds.
- AI Content Creation Apps rebounded sharply in 2026 because the category shifted from generative novelty toward production infrastructure. Runway, Higgsfield, Astrocade, and Sekai are stronger funding signals because they promise repeatable creation loops rather than one-off prompt outputs.
- AI Companion Apps remain culturally visible but financially cautious. Companion products keep producing deal activity, yet they have not attracted the same dollar intensity as search, voice, or creation products.
- The durable investor skepticism around companion apps is visible in round size. Even when companion companies raise credible rounds, the checks remain small relative to platform categories, which implies unresolved concerns around safety, retention, monetization, and reputational risk.
- AI Wellness Apps are fundable but not yet scalable in venture-capital terms. The category appears repeatedly, but its capital share remains small, suggesting investors are still waiting for clearer proof of outcomes, willingness to pay, and responsible product boundaries.
- Personal Assistant Apps are becoming more credible when they attach to narrow, high-frequency workflows. Town and Phia raised larger checks because they target work context and shopping decisions, while broad “AI assistant for everything” claims remain harder to underwrite.
- Consumer Productivity AI is reappearing as a formation category in 2026 after being absent in 2025, but the dollars remain small. That makes the category’s return an early signal rather than a confirmed scale-financing trend.
- Education AI remains underrepresented in pure consumer funding despite obvious user demand. The likely reason is that many larger education AI opportunities monetize through schools, enterprises, tutoring networks, or workforce channels rather than direct consumer apps.
- The stage mix says the market is mature at the top but not mature overall. Late-stage rounds dominate dollars, while Seed and Series A dominate deal count, which means only a few companies have crossed from product experiment to venture-scale business.
- Winner-takes-most dynamics are intensifying. The top 5 deals represented 58% of capital in 2024, 81% in 2025, and 85% so far in 2026, so the largest rounds increasingly define the market narrative.
- North America remains the only region with consistent scale financing. Even when Asia-Pacific deal formation rises in 2026, North America still captures 94% of year-to-date capital, which confirms that global user potential has not translated into global venture-capital depth.
- Asia-Pacific’s 2026 momentum is real by deal count but early by round size. Four Asia-Pacific deals so far in 2026 show startup formation, but the region’s median deal size is roughly one-tenth of North America’s.
- Europe’s decline is one of the sharpest regional signals. Europe moved from 3 deals and about $114M in 2024 to 1 deal and $15M in 2025, then no strict qualifying year-to-date 2026 deals.
- Top investors appear to be shifting from broad consumer AI exposure to focused thesis deployment. The recurring investor names in 2026 are attached to creation platforms, assistants, shopping, and interface-control products rather than every consumer AI use case equally.
- The market rewards visible outputs more than invisible promises. Video, games, mini-apps, shopping decisions, and voice actions are easier to evaluate than generic memory or companion claims, which helps explain why output-oriented companies raise larger rounds.
- The funding evidence suggests a hierarchy of proof: daily utility and platform control rank highest, creative output quality ranks next, and emotional engagement ranks lower unless monetization and safety are clear. This hierarchy explains why search, creation, voice, and assistants receive larger checks than wellness or companionship.
- The biggest risk in reading the consumer AI market is false breadth. Many categories have deals, but only one or two categories dominate dollars in each period, so a broad category map can hide the fact that capital conviction is narrow.
- The strongest diligence rule for future consumer AI funding is to separate engagement from control. A product can be engaging without controlling a durable workflow, and the largest rounds consistently go to companies that look capable of controlling a workflow, interface, or production loop.
OUR METHODOLOGY TO BUILD THIS TRACKER
We built this consumer AI funding tracker by reviewing publicly disclosed equity rounds raised by pure-play consumer AI companies across 2024, 2025, and year-to-date 2026. A company counts as pure-play when more than 80% of its activity is dedicated to AI applications or devices sold directly to individuals for everyday personal use.
The included market categories are AI Companion Apps, Personal Assistant Apps, AI Search Apps, AI Content Creation Apps, Education AI Apps, Consumer Productivity AI, AI Wellness Apps, and Voice AI Apps. The tracker excludes broader adjacent markets unless the product is built specifically for consumer AI use.
We applied four core filters. First, we included only equity rounds, excluding grants, debt, structured financings, acquisitions, SPAC transactions, and non-company financings. Second, we only counted rounds of $300K or more. Third, we excluded companies where consumer AI was incidental rather than the core product, including enterprise-only AI software, foundation-model labs, infrastructure/API companies, developer-only tools, health-provider software, and generic creator-economy platforms without AI as the core product. Fourth, each deal had to be confirmed by a direct company announcement, press release, tier-1 media report, specialized funding source, or relevant regional publication.
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, stage share, and concentration. The result is a public-source funding tracker focused on disclosed, comparable, pure-play consumer AI equity rounds rather than a broad list of every company using AI in a consumer-facing product.
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