AI funding has never moved faster and in Q1 2026 AI startups captured 80% of total global venture funding.
But that money is pooling at the top: OpenAI, Anthropic, xAI and Waymo ($16 billion) collectively raised 65% of global venture investment in that same quarter.
So for everyone else real organic demand is what separates the winners from the merely well-funded.
The question we set out to answer is: which AI software companies, across every category from foundation models to AI agents to generative tools, are actually growing real demand right now?
This article was researched and built by Agent A, Ahrefs’ AI agent. Agent A pulls live Ahrefs data, runs its own analysis, and assembles findings like the ranking below, so the numbers you’re about to read come straight from the same data set our tools run on.
You can recreate this kind of research for your specific niche or vertical using Agent A.
Below are the AI companies whose brand-name search demand has climbed fastest this year versus last, ordered from the steepest growth down, each with a chart, the key numbers, and a short read on what’s driving their momentum.
- Brand search growth (this year vs last): +560%
- Search growth forecast: -34%
- Monthly brand searches: 246,000
- Organic traffic (monthly): 2,500,291
- Year founded: 2019
- Location: Berlin, Germany
What they do
n8n is a workflow automation platform, originally open-source, that lets technical teams build complex automated pipelines connecting apps, APIs, and AI models without handing everything off to a dedicated engineering team.
n8n has raised $240 million total in venture funding, with the most recent round being a $180 million Series C in October 2025 led by Accel, with Meritech, Redpoint, Evantic, Visionaries Club, NVentures, and T.Capital also participating.
n8n is the fastest growing company on this list, and a +560% jump in brand search demand is the kind of number that makes you do a double-take. What changed is the context around it: as AI agents became a practical reality for engineering teams in 2025, n8n’s model of composable, code-friendly automation started looking a lot more appealing than heavier enterprise alternatives. The surge wasn’t manufactured by a campaign; it followed a genuine shift in how developers are thinking about building with AI.
- Brand search growth (this year vs last): +300%
- Search growth forecast: +30%
- Monthly brand searches: 11,000
- Organic traffic (monthly): 27,123
- Year founded: 2023
- Location: San Francisco, USA
What they do
Retell AI is a platform that lets businesses build and deploy AI-powered voice agents for phone calls, handling conversations that would otherwise require human call center staff.
Retell AI raised a $4.6 million Seed round in August 2024, led by Alt Capital, with Y Combinator and Carya Venture also participating.
Retell AI is a young company, founded in 2023, so the +300% growth this year versus last is happening from a relatively early base, but the direction is clear. Conversational AI for voice has gone from a novelty to something businesses are actively deploying, and Retell’s developer-first API approach is drawing attention from teams who want to build voice agents without starting from scratch.
- Brand search growth (this year vs last): +250%
- Search growth forecast: +29%
- Monthly brand searches: 118,000
- Organic traffic (monthly): 1,720,872
- Year founded: 2020
- Location: Los Angeles, USA
What they do
HeyGen is an AI video generation platform that lets users create and localize videos using digital avatars, widely used by marketing teams and content creators who need to produce video at scale without a full production setup.
HeyGen raised a $60 million Series A in June 2024, led by Benchmark, with Thrive Capital, BOND, and SV Angel also investing, bringing total disclosed funding to around $65.6 million.
AI video has gone from impressive demo to practical production tool, and HeyGen is one of the clearest beneficiaries. With ~120K monthly brand searches and 1.7M in organic traffic, this isn’t a niche product finding a niche audience anymore; the demand curve reflects a growing number of teams treating AI-generated video as a standard part of their content workflow.
- Brand search growth (this year vs last): +240%
- Search growth forecast: +4%
- Monthly brand searches: 258,000
- Organic traffic (monthly): 1,554,590
- Year founded: 2021
- Location: San Francisco, USA
What they do
Anthropic needs little introduction: it’s the AI safety company behind the Claude family of models, used by developers, enterprises, and consumers who want a capable large language model with a focus on reliability and safety.
Anthropic closed a $30 billion Series G in February 2026 at a $380 billion post-money valuation, led by GIC and Coatue, and followed that with a $65 billion Series H in May 2026 led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital.
A +240% increase in brand search demand for a company this well-known is genuinely remarkable. Most large AI labs see growth plateau as they become household names, but Anthropic kept accelerating, driven partly by Claude’s rapid adoption in enterprise software and partly by a growing consumer audience that’s starting to reach for Claude the way they’d reach for any other productivity tool.
- Brand search growth (this year vs last): +230%
- Search growth forecast: +34%
- Monthly brand searches: 161,000
- Organic traffic (monthly): 2,914,215
- Year founded: 2023
- Location: Mountain View, USA
What they do
NotebookLM is a Google research tool that lets users upload documents and have an AI assistant answer questions, summarize content, and generate audio overviews from their own source material.
NotebookLM is a Google product, so there’s no venture funding to report here.
The audio overview feature, where NotebookLM generates a podcast-style conversation from your uploaded documents, became a genuine cultural moment in late 2024, and the demand it sparked clearly carried into this year. With ~160K monthly brand searches and nearly 3M in organic traffic, NotebookLM is one of the few Google AI products that people actively seek out by name rather than just stumbling across.
- Brand search growth (this year vs last): +210%
- Search growth forecast: +2%
- Monthly brand searches: 13,000
- Organic traffic (monthly): 110,266
- Year founded: 2023
- Location: San Francisco, USA
What they do
Hedra is an AI video generation platform that lets users create talking avatar videos from a photo and audio input, used by content creators and developers building character-driven video experiences.
Hedra has raised $42 million total across two rounds, including a $32 million Series A announced in May 2025 led by Andreessen Horowitz’s Infrastructure fund, with Index Ventures and Abstract also participating.
Hedra’s +210% brand search growth tracks the explosion of talking avatar content that spread across social platforms in 2024 and 2025. The viral “talking baby podcast” format that TechCrunch referenced in its funding coverage introduced Hedra to an audience far beyond early AI enthusiasts, and that awareness has compounded into consistent search demand.
- Brand search growth (this year vs last): +190%
- Search growth forecast: +24%
- Monthly brand searches: 18,000
- Organic traffic (monthly): 14,671
- Year founded: 2024
- Location: San Francisco, USA
What they do
Thinking Machines Lab is an AI research company founded by former OpenAI CTO Mira Murati, focused on building general-purpose AI systems.
Thinking Machines Lab closed a $2 billion seed round in mid-2025, widely reported as the largest seed round in VC history, at a $12 billion valuation.
This is a company founded in 2024, so the context here is that essentially all of its brand demand is brand new. The +190% growth reflects how much attention Mira Murati’s departure from OpenAI generated, and how that founder-driven interest has translated into real, sustained search demand rather than a one-week news spike.
- Brand search growth (this year vs last): +180%
- Search growth forecast: -26%
- Monthly brand searches: 1,100
- Organic traffic (monthly): 169,339
- Year founded: 2022
- Location: San Francisco, USA
What they do
Lindy is an AI agent platform that lets users build personal AI assistants to automate tasks across email, calendar, CRM, and other tools, without writing code.
Lindy has raised $49.9 million total in venture funding, with its most recent round being a $35 million Series B led by Battery Ventures, with Menlo Ventures, Coatue, and Tiger Global also participating.
The +180% jump in brand searches for Lindy reflects the broader breakout of personal AI agents as a category people are actively shopping for by name. Lindy’s pitch, that non-technical users can build their own AI workflows, sits right at the intersection of two things that gained serious traction in 2025: no-code tooling and agentic AI.
- Brand search growth (this year vs last): +140%
- Search growth forecast: +29%
- Monthly brand searches: 5,100
- Organic traffic (monthly): 3,602
- Year founded: 2023
- Location: Cambridge, USA
What they do
Liquid AI is an AI research company out of MIT that develops a new class of AI models, called liquid neural networks, designed to be more efficient and adaptable than standard transformer architectures.
Liquid AI raised a $250 million Series A in December 2024, led by AMD Ventures, bringing total disclosed funding to around $287.6 million.
Liquid AI has one of the lowest-traffic sites on this list, which makes the +140% search growth more telling, not less. It’s a research-heavy company with a small organic footprint, so the demand that does exist is coming from people who specifically know the name and are looking it up, a signal of genuine awareness building in technical and investor circles rather than broad consumer interest.
- Brand search growth (this year vs last): +130%
- Search growth forecast: +24%
- Monthly brand searches: 1,000
- Organic traffic (monthly): 33,161
- Year founded: 2019
- Location: San Francisco, USA
What they do
Abacus.AI is an enterprise AI platform that lets data science teams build, deploy, and manage machine learning models and AI agents without building the underlying infrastructure themselves.
Abacus.AI raised a $50 million Series C in October 2021 led by Tiger Global, with Coatue, Index Ventures, and Alkeon Capital also participating, bringing total disclosed funding to around $90.3 million.
Abacus.AI has been building since 2019, well before the generative AI wave hit, and the +130% search growth suggests it’s now benefiting from that runway. As enterprises moved from experimenting with AI to actually deploying it at scale in 2025, platforms with a proven track record on the ML infrastructure side started attracting a new wave of attention.
- Brand search growth (this year vs last): +130%
- Search growth forecast: +20%
- Monthly brand searches: 25,000
- Organic traffic (monthly): 66,002
- Year founded: 2024
- Location: San Francisco, USA
What they do
CrewAI is an open-source framework for building multi-agent AI systems, used by developers who want to coordinate teams of AI agents working together on complex tasks.
CrewAI has raised $18 million total across two rounds, including a $12.5 million Series A announced in October 2024 led by Insight Partners, with boldstart ventures as the seed lead and angels including Andrew Ng and Dharmesh Shah also backing the company.
CrewAI launched in 2024 and rode the multi-agent wave almost immediately. The framework caught on fast with developers building agentic workflows, and the +130% brand search growth shows that awareness is still compounding rather than plateauing, which is a reasonable sign that the category has legs beyond early adopter hype.
- Brand search growth (this year vs last): +120%
- Search growth forecast: +23%
- Monthly brand searches: 4,600
- Organic traffic (monthly): 8,722
- Year founded: 2019
- Location: San Francisco, USA
What they do
Baseten is an AI inference infrastructure platform used by engineering teams to deploy and serve machine learning models at scale, handling the performance and latency demands that come with running AI in production.
Baseten raised a $300 million Series E in January 2026 at a $5 billion valuation, anchored by IVP, CapitalG, and NVIDIA, bringing total disclosed funding to $585 million.
The AI inference problem, getting models to run fast enough and cheaply enough to actually be useful in production, has become one of the most actively funded problems in the industry, and Baseten is at the center of it. The +120% growth in brand searches reflects growing awareness among the engineering teams who are wrestling with that problem and actively looking for solutions.
- Brand search growth (this year vs last): +120%
- Search growth forecast: +9%
- Monthly brand searches: 500
- Organic traffic (monthly): 56,035
- Year founded: 2022
- Location: San Francisco, USA
What they do
Harvey is an AI platform built for legal work, used by law firms and legal teams to handle tasks like contract analysis, due diligence, legal research, and drafting.
Harvey raised a $200 million growth round in March 2026 at an $11 billion valuation, co-led by GIC and Sequoia, with Andreessen Horowitz, Coatue, Conviction Partners, and Kleiner Perkins among the existing investors participating; the company has raised more than $1 billion in total.
Harvey is one of the smallest brands on this list by monthly brand searches, which puts the +120% growth in an interesting light: the audience is small, but it’s growing fast and it’s a very specific one. Legal AI adoption accelerated noticeably in 2025 as large firms moved from pilot programs to firm-wide deployments, and Harvey’s search demand reflects that shift in a market that takes its vendor decisions seriously.
- Brand search growth (this year vs last): +100%
- Search growth forecast: +1%
- Monthly brand searches: 2,900
- Organic traffic (monthly): 10,032
- Year founded: 2020
- Location: San Francisco, CA
What they do
Tavus is a generative AI video platform that gives developers API access to build personalized video experiences using digital twin technology, used by teams who want to create custom video at scale programmatically.
Tavus has raised $64 million total across three rounds, including a $40 million Series B announced in November 2025, with Andreessen Horowitz, Sequoia Scout Fund, and General Catalyst among the backers.
Tavus doubled its brand search demand this year versus last, and the driver is the growing appetite for personalized video at scale, particularly in sales and marketing workflows where teams want to send video that feels 1:1 but can’t do that manually. The API-first model means Tavus shows up embedded in other products, which builds brand recognition in a less visible but durable way.
- Brand search growth (this year vs last): +91%
- Search growth forecast: -7%
- Monthly brand searches: 136,000
- Organic traffic (monthly): 4,916,140
- Year founded: 2022
- Location: London, UK
What they do
ElevenLabs is an AI voice technology company whose text-to-speech and voice cloning tools are used by content creators, publishers, game developers, and enterprises building audio products.
ElevenLabs raised a $500 million Series D in February 2026 led by Sequoia Capital at an $11 billion valuation, with Andreessen Horowitz, ICONIQ, and Lightspeed also participating, bringing total disclosed funding to $781 million.
ElevenLabs has one of the highest-traffic sites on this list, and adding +91% brand search growth on top of that base is a meaningful signal. AI voice has become genuinely ubiquitous in podcasts, audiobooks, and video content over the past year, and ElevenLabs has positioned itself as the default tool for creators who want high-quality results without a professional audio setup.
- Brand search growth (this year vs last): +83%
- Search growth forecast: +19%
- Monthly brand searches: 18,000
- Organic traffic (monthly): 105,691
- Year founded: 2021
- Location: Seattle, USA
What they do
Read AI is a meeting intelligence platform that records, transcribes, and summarizes video calls, and more recently has expanded into email and messaging to give users an AI layer across their communications.
Read AI has raised $81 million total across three rounds, including a $50 million Series B in October 2024 led by Smash Capital, with Madrona and Goodwater Capital also participating.
The meeting summary tool category went from novelty to workplace standard remarkably quickly, and Read AI has been a consistent beneficiary of that shift. The +83% growth in brand searches reflects an expanding user base that’s treating AI meeting intelligence as a permanent part of how they work, rather than an experiment they’re still evaluating.
- Brand search growth (this year vs last): +82%
- Search growth forecast: +22%
- Monthly brand searches: 1,500
- Organic traffic (monthly): 7,031
- Year founded: 2024
- Location: San Francisco, USA
What they do
World Labs is an AI research company founded by Fei-Fei Li that’s focused on building large world models, AI systems that can understand and generate spatial, three-dimensional representations of the world.
World Labs has raised $1.23 billion total, including a $1 billion growth round announced in February 2026 anchored by a $200 million strategic investment from Autodesk, with AMD, NVIDIA, and Emerson Collective also participating, plus a prior $230 million raise when the company came out of stealth in September 2024.
World Labs is one of the youngest companies on this list, founded in 2024, so its entire search trajectory is essentially a straight line up from zero. The +82% growth year over year reflects Fei-Fei Li’s profile in the AI research world translating into real-world brand awareness as the company’s work on spatial intelligence moves from announcement to something people can follow actively.
- Brand search growth (this year vs last): +81%
- Search growth forecast: +26%
- Monthly brand searches: 700
- Organic traffic (monthly): 1,067
- Year founded: 2019
- Location: Beijing, China
What they do
Zhipu AI is a Chinese AI company that develops foundation models and enterprise AI applications, including the GLM series of large language models, used by businesses and developers in China and increasingly watched by international observers.
Zhipu AI has raised over $1 billion total across more than 16 rounds, including a significant state-backed funding round in March 2025 that brought in multiple government-affiliated investors alongside Tencent and Alibaba.
Zhipu AI is one of the smallest brands here by monthly search volume, with around 700 brand searches per month, but the +81% growth rate tells a consistent story: international awareness of China’s competitive AI landscape has grown substantially, and Zhipu, as one of the companies most frequently cited as a serious foundation model developer outside the US, is getting more attention from researchers, investors, and enterprise buyers looking outside the obvious names.
- Brand search growth (this year vs last): +80%
- Search growth forecast: +31%
- Monthly brand searches: 309,000
- Organic traffic (monthly): 3,739,416
- Year founded: 2023
- Location: Cambridge, USA
What they do
Suno is an AI music generation platform that lets anyone create original songs from a text prompt, used by hobbyists, content creators, and musicians experimenting with AI-assisted composition.
Suno has raised $375 million total in disclosed funding, including a $250 million Series C in November 2025 led by Menlo Ventures, with NVentures, Lightspeed, and Matrix also participating, and a prior $125 million Series B in May 2024 led by Lightspeed Venture Partners.
Suno is one of the biggest brands on this list by monthly search volume, pulling in ~310K searches a month, and it’s still growing at +80% year over year. That combination is rare: most products at this search volume are growing slowly if at all, but Suno keeps expanding its audience as AI music generation moves from a curiosity to something people actually use to make content they share.
- Brand search growth (this year vs last): +80%
- Search growth forecast: +33%
- Monthly brand searches: 81,000
- Organic traffic (monthly): 597,861
- Year founded: 2023
- Location: San Francisco, USA
What they do
xAI is Elon Musk’s AI company, known primarily for the Grok large language model, which is integrated into X (formerly Twitter) and available as a standalone product.
xAI raised a $20 billion Series E in January 2026 at a $230 billion valuation, with investors including Nvidia, Cisco Investments, the Qatar Investment Authority, and MGX; total funding across all rounds is reported at more than $42 billion according to PitchBook.
xAI’s +80% brand search growth reflects the continued expansion of Grok’s presence within the X ecosystem, where Musk has made it a default feature rather than an opt-in extra. Distribution through a platform with hundreds of millions of users is a compounding advantage, and the search demand shows people are engaging with xAI as a brand in its own right, separate from X itself.
- Brand search growth (this year vs last): +70%
- Search growth forecast: -21%
- Monthly brand searches: 9,400
- Organic traffic (monthly): 336,659
- Year founded: 2024
- Location: San Francisco, USA
What they do
Gumloop is a no-code AI automation platform that lets users build workflows connecting AI models to other apps and data sources through a visual drag-and-drop interface.
Gumloop has raised $70 million total in disclosed funding, including a $50 million Series B announced in March 2026 led by Benchmark, and a prior $17 million Series A led by Nexus Venture Partners with First Round Capital and Y Combinator also involved.
Gumloop is one of the youngest companies on this list, having launched in 2024, so its +70% brand search growth is happening fast on a short timeline. The no-code automation category is crowded, but Gumloop’s timing, entering the market exactly as AI-native workflows became a priority for non-technical teams, has helped it gain recognition quickly.
- Brand search growth (this year vs last): +69%
- Search growth forecast: -43%
- Monthly brand searches: 74,000
- Organic traffic (monthly): 181,056
- Year founded: 2016
- Location: San Francisco, USA
What they do
Scale AI is a data platform that helps AI teams label training data, evaluate models, and manage the human feedback pipelines that underpin modern AI development, used by many of the major AI labs and large enterprise customers.
Scale AI has raised around $1.3 billion in disclosed venture funding, including a $1 billion Series F in May 2024 led by Accel at a $13.8 billion valuation, with NVIDIA, Founders Fund, and Thrive Capital among the many participants.
Scale AI is one of the most established companies on this list, founded in 2016, and the +69% jump in brand search demand signals a renewed wave of interest rather than a first-time discovery. As model evaluation and RLHF pipelines became central concerns for AI teams throughout 2025, Scale’s positioning as the infrastructure layer for that work brought it back into active consideration for a new generation of buyers.
- Brand search growth (this year vs last): +63%
- Search growth forecast: +24%
- Monthly brand searches: 17,000
- Organic traffic (monthly): 285,993
- Year founded: 2019
- Location: Des Moines, United States
What they do
Roboflow is a platform for building computer vision applications, used by developers and data scientists to manage image datasets, annotate images, train models, and deploy them via API or to edge devices.
Roboflow has raised around $99.7 million total in venture funding, including a $40 million Series B in November 2024 led by GV, with Craft Ventures, Y Combinator, and Jeff Dean also participating.
Computer vision has always been a specialized corner of AI, but as the hardware to run it got cheaper and the use cases got more obvious, particularly in manufacturing, logistics, and retail, more teams started looking for production-ready tooling. Roboflow’s +63% growth in brand searches reflects that widening audience finding its way to a platform that’s been quietly building comprehensive tooling since 2019.
- Brand search growth (this year vs last): +63%
- Search growth forecast: +15%
- Monthly brand searches: 94,000
- Organic traffic (monthly): 4,025,228
- Year founded: 2020
- Location: San Francisco
What they do
Gamma is an AI-powered presentation and document tool that generates polished slides, web pages, and docs from a prompt or outline, used by people who want to skip the formatting work and focus on the content.
Gamma raised a $68 million Series B in November 2025 led by Andreessen Horowitz at a $2.1 billion valuation, with Accel and Uncork Capital also participating; the company’s own announcement noted it had reached $100M in ARR before the round, having done so with only $23 million in initial funding.
Gamma has one of the highest-traffic sites on this list, pulling in around 4M organic visits a month, and the +63% brand search growth on top of that base is a real signal of continued expansion. AI presentation tools could easily have been a feature someone bolted onto an existing product, but Gamma built a standalone product that’s clearly holding its own as a destination people come back to by name.
- Brand search growth (this year vs last): +59%
- Search growth forecast: -41%
- Monthly brand searches: 262,000
- Organic traffic (monthly): 1,668,813
- Year founded: 2016
- Location: San Francisco, USA
What they do
Replit is a cloud-based coding platform and AI development environment used by students, hobbyists, and professional developers to write, run, and deploy software entirely from a browser.
Replit raised a $400 million Series D in March 2026 led by Georgian at a $9 billion valuation, with Andreessen Horowitz, Coatue, and Y Combinator among the investors; total disclosed funding stands at over $877 million.
Replit is one of the most established companies on this list, founded in 2016, but AI has given it a second growth moment. Its Replit Agent feature, which lets users describe what they want to build and have AI write and deploy the code, brought a wave of new users who weren’t traditional programmers, and that expanded audience is showing up clearly in the +59% brand search growth.
The full 50: fastest-growing AI companies by brand search
| # | Company | Industry | Brand search growth | Monthly brand searches |
|---|---|---|---|---|
| 1 |  n8n | No-code | +560% (this year vs last) | 246,000 |
| 2 | Retell AI | AI / ML | +300% (this year vs last) | 11,000 |
| 3 | HeyGen | Video | +250% (this year vs last) | 118,000 |
| 4 | Anthropic | AI / ML | +240% (this year vs last) | 258,000 |
| 5 | NotebookLM | Productivity | +230% (this year vs last) | 161,000 |
| 6 | Hedra | Video | +210% (this year vs last) | 13,000 |
| 7 | Thinking Machines Lab | AI / ML | +190% (this year vs last) | 18,000 |
| 8 | Lindy | AI / ML | +180% (this year vs last) | 1,100 |
| 9 | Liquid AI | AI / ML | +140% (this year vs last) | 5,100 |
| 10 | Abacus.AI | AI / ML | +130% (this year vs last) | 1,000 |
| 11 | CrewAI | AI / ML | +130% (this year vs last) | 25,000 |
| 12 | Baseten | Data infrastructure | +120% (this year vs last) | 4,600 |
| 13 | Harvey | Legal tech | +120% (this year vs last) | 500 |
| 14 | Tavus | Video | +100% (this year vs last) | 2,900 |
| 15 | ElevenLabs | AI / ML | +91% (this year vs last) | 136,000 |
| 16 | Read AI | Productivity | +83% (this year vs last) | 18,000 |
| 17 | World Labs | AI / ML | +82% (this year vs last) | 1,500 |
| 18 | Zhipu AI | AI / ML | +81% (this year vs last) | 700 |
| 19 | Suno | AI / ML | +80% (this year vs last) | 309,000 |
| 20 | xAI | AI / ML | +80% (this year vs last) | 81,000 |
| 21 | Gumloop | No-code | +70% (this year vs last) | 9,400 |
| 22 | Scale AI | AI / ML | +69% (this year vs last) | 74,000 |
| 23 | Roboflow | AI / ML | +63% (this year vs last) | 17,000 |
| 24 | Gamma | Productivity | +63% (this year vs last) | 94,000 |
| 25 | Replit | Dev tools | +59% (this year vs last) | 262,000 |
| 26 | fal | AI / ML | +58% (this year vs last) | 2,300 |
| 27 | Otter.ai | Productivity | +56% (this year vs last) | 21,000 |
| 28 | Descript | Video | +52% (this year vs last) | 86,000 |
| 29 | AISDR | Sales / CRM | +49% (this year vs last) | 1,200 |
| 30 | Heron Data | Fintech | +46% (this year vs last) | 800 |
| 31 | Fireflies.ai | Productivity | +46% (this year vs last) | 2,600 |
| 32 | LangChain | Dev tools | +46% (this year vs last) | 75,000 |
| 33 | Copyleaks | AI / ML | +45% (this year vs last) | 43,000 |
| 34 | Synthesia | Video | +45% (this year vs last) | 56,000 |
| 35 | Kling AI | Video | +44% (this year vs last) | 40,000 |
| 36 | Modal | Data infrastructure | +44% (this year vs last) | 52,000 |
| 37 | Hippocratic AI | Healthcare | +41% (this year vs last) | 5,600 |
| 38 | Suki AI | Healthcare | +40% (this year vs last) | 2,600 |
| 39 | Databricks | Data infrastructure | +40% (this year vs last) | 150,000 |
| 40 | Hugging Face | AI / ML | +40% (this year vs last) | 80,000 |
| 41 | Relevance AI | AI / ML | +32% (this year vs last) | 6,200 |
| 42 | Recraft | Design | +28% (this year vs last) | 400 |
| 43 | Together AI | AI / ML | +26% (this year vs last) | 8,700 |
| 44 | Deepgram | AI / ML | +25% (this year vs last) | 13,000 |
| 45 | Snorkel AI | AI / ML | +24% (this year vs last) | 8,600 |
| 46 | Anyscale | Data infrastructure | +23% (this year vs last) | 8,100 |
| 47 | Prodigal | Fintech | +22% (this year vs last) | 31,000 |
| 48 | Perplexity | AI / ML | +22% (this year vs last) | 9,600 |
| 49 | Pinecone | Data infrastructure | +22% (this year vs last) | 35,000 |
| 50 | V7 | AI / ML | +21% (this year vs last) | 3,100 |
Brand search growth = growth in average monthly searches for the company name this year versus last year (last 12 months vs the prior 12 months). Monthly brand searches = current US search volume for the brand name. Data: Ahrefs · June 2026.
You can rebuild this entire analysis yourself in Ahrefs. Here’s the short version:
- Open Keywords Explorer, enter a company’s brand name as the keyword, and look at the Volume graph. The trend over the last few years is the brand-search growth we ranked on, and the forecast line is Ahrefs’ projection.
- To compare many companies at once, drop a list of brand names into Keywords Explorer and sort by Volume or by Growth to see which names are climbing fastest.
- Use Site Explorer on each company’s domain to pull the Organic traffic, Referring domains, and other figures in the profiles above.
- Or skip the manual work and let Agent A run the whole pull, filtering, and ranking for any niche you choose, the same way it built this list.
What stands out across this list of fastest growing AI companies is how varied the categories are: workflow automation, voice AI, video generation, foundation models, legal AI, music creation, and inference infrastructure all appear here, which is a useful reminder that AI demand isn’t concentrating in one corner of the market.
The common thread is that these are products people are actively seeking out by name, which is a harder signal to manufacture than a viral moment or a press cycle, and among the fastest growing companies here, several went from near-zero brand recognition to hundreds of thousands of monthly searches inside a year.
If you’re tracking where AI demand is actually forming rather than where the funding is going, this list is a reasonable place to start.
