Generative media has become one of the fastest-scaling parts of AI software. ElevenLabs said it closed 2025 with more than $330 million in annual recurring revenue and passed $500 million within the first four months of 2026. In September 2026, Higgsfield reported that it had crossed a $1 billion annualized revenue run rate, 18 months after launching its creative suite.
Suno and Higgsfield each announced rounds at a $5.4 billion valuation in 2026, and ElevenLabs said a September tender valued it at $22 billion. For B2B teams, these rounds are some of the clearest recent funding signals in AI.
This list ranks AI-native voice, video, image, music, and creative-tools companies by 12-month headcount growth measured in Landbase data, then verifies each company's funding and operating evidence against public sources.
How the companies were selected
The starting pool was AI-native companies whose primary product generates or edits voice, speech, video, images, music, or 3D content, or supply the models and infrastructure those products depend on.
Every company on the list had to meet four criteria:
- Founded in 2019 or later, which excludes established creative software vendors that added AI features later
- Venture-backed, with at least one disclosed institutional round
- Commercially available product, which excludes pre-product research labs
- Positive 12-month headcount growth in Landbase data, used as the ranking order
Headcount growth is calculated from professional-profile data and can differ from company-reported figures, particularly for companies with contractors, distributed teams, or engineering hubs outside their headquarters country. Funding, valuation, and revenue figures below come from company announcements rather than headcount data. Funding alone does not establish growth, so it is treated as one of several company buying signals.
1) Higgsfield AI
CEO: Alex Mashrabov
Latest round: $400 million Series B, August 2026
12-month headcount growth: +509%
Category: AI video and creative suite
What Higgsfield AI builds
Higgsfield provides an AI-native creative suite for generating and editing video and images. It serves creators, brands, agencies, and studios.
Latest growth evidence
In September 2026, Higgsfield reported a $1 billion annualized revenue run rate, roughly 20 times its level in September 2025. The company said it has more than 32 million users in 238 countries, nearly one million paying subscribers, and campaigns running for 390 of the Fortune 500.
The CEO said the company had been breaking even on a cash-flow basis for the prior couple of months.
Recent funding
DST Global led the $400 million Series B at a $5.4 billion valuation. Higgsfield did not disclose total capital raised in its September announcement.
Why it matters
Higgsfield shows how quickly a consumer-led creative product can turn into an enterprise vendor. Its revenue mix moved from more than 90% subscriptions to just over 60% as on-demand and business usage grew.
2) Wispr Flow
Co-founder: Tanay Kothari
Latest round: $280 million Series B, August 2026
12-month headcount growth: +262%
Category: AI voice dictation
What Wispr Flow builds
Wispr Flow is a voice dictation application that lets people write by speaking across desktop and mobile apps.
Latest growth evidence
In June 2025, Wispr said users were dictating roughly 100 million words a week and that eight in ten activated users were still using Flow six months later. By August 2026, the company said people had written more than 60 billion words with Flow.
Recent funding
Menlo Ventures led the $280 million Series B at a $2 billion valuation, with Notable Capital returning and PLUS Capital joining. Earlier, Wispr raised a $30 million Series A led by Menlo in June 2025 and $25 million led by Notable Capital in November 2025, bringing pre-Series B funding to $81 million.
Why it matters
Wispr Flow is one of the clearest examples of voice moving from a feature into a primary input method.
3) PixVerse
CEO: Changhu Wang
Latest round: Series C extension, July 2026
12-month headcount growth: +219%
Category: AI video generation and real-time world models
What PixVerse builds
PixVerse provides AI video generation for creators and businesses, along with R1, a real-time world model launched in January 2026 that the company is extending into games and interactive entertainment.
Latest growth evidence
PixVerse said it passed 100 million users across 175 countries by September 2025 and reported 16 million monthly active users in March 2026. By July 2026, it reported more than 150 million users across 177 countries.
Recent funding
CDH Investments led the Series C in March 2026, which PixVerse described as the largest funding round in AI video generation in Asia. A July extension added Alibaba, Mirae Asset, and others, bringing total Series C funding to $439 million. Alibaba also led PixVerse's Series B in September 2025.
Why it matters
PixVerse shows AI video companies moving beyond clip generation into interactive, real-time media.
4) Black Forest Labs
CEO: Robin Rombach
Latest round: $300 million Series B, December 2025
12-month headcount growth: +210%
Category: Image and video generation models
What Black Forest Labs builds
Black Forest Labs develops the FLUX family of image and video generation models. Its team includes researchers behind latent diffusion and Stable Diffusion.
Latest growth evidence
The company said partners from Adobe and Canva to Meta and Microsoft build on its models, and that its models are widely used through platforms such as fal, Replicate, and Together AI. FLUX.1 Kontext was integrated into Adobe Photoshop in September 2025.
In 2026, Black Forest Labs released FLUX 3 and a video generation model, and described itself as a 90-person lab in June.
Recent funding
Salesforce Ventures and Anjney Midha (AMP) co-led the $300 million Series B at a $3.25 billion post-money valuation, with Temasek and Bain Capital Ventures participating.
Why it matters
Black Forest Labs illustrates the model-provider layer of creative AI. Its growth comes from being embedded in other companies' products.
5) Rime
CEO: Lily Clifford
Latest round: $24 million Series A, July 2026
12-month headcount growth: +194%
Category: Text-to-speech for voice agents
What Rime builds
Rime builds text-to-speech models designed for enterprise voice applications such as contact centers, phone ordering, and customer service agents.
Latest growth evidence
In September 2026, Dialpad named Rime as the voice behind its agentic AI products, supplying brand-matched voices across Dialpad's platform.
Recent funding
M13 led the $24 million Series A, with Corazon Capital, Unusual Ventures, Cadenza Ventures, and Twilio Ventures participating. Rime announced a $5.5 million seed round in May 2025.
Why it matters
Rime reflects a growing market for voices built specifically for business calls, where conversion and abandonment rates matter more than general-purpose voice quality.
6) ElevenLabs
CEO: Mati Staniszewski
Latest round: $500 million Series D, February 2026
12-month headcount growth: +191%
Category: AI voice and conversational agents
What ElevenLabs builds
ElevenLabs provides AI voice generation, speech-to-text, and a platform for building conversational voice agents, sold to creators, developers, and enterprises.
Latest growth evidence
ElevenLabs said it closed 2025 with more than $330 million in ARR and passed $500 million in the first four months of 2026. In September, it reported that enterprise accounted for 55% of revenue and that its agents handled more than 15 million conversations a week, up threefold since February.
Recent funding
Sequoia led the $500 million Series D at an $11 billion valuation, bringing total funding to $781 million at the time. In September 2026, Wellington and T. Rowe Price led a $300 million employee tender at a $22 billion valuation.
Why it matters
ElevenLabs shows voice AI moving from content creation into customer-facing operations, with conversational agents now driving much of its enterprise growth.
7) fal
CEO: Burkay Gur
Latest round: $140 million Series D, December 2025
12-month headcount growth: +183%
Category: Generative media infrastructure
What fal builds
fal provides a serverless inference platform and API for generative media, hosting image, video, audio, and 3D models from many model developers for use in production applications.
Latest growth evidence
In May 2026, fal said more than 2.5 million developers build on its platform, and that Amazon MGM Studios, Canva, and Adobe run production workloads on it. The same announcement introduced a strategic partnership with AWS.
Recent funding
fal's $140 million Series D added Sequoia, Kleiner Perkins, and NVIDIA as new investors.
Why it matters
fal shows how creative AI demand pulls infrastructure behind it. fal sits between model makers and the applications using them.
8) Cartesia
CEO: Karan Goel
Latest round: $100 million, October 2025
12-month headcount growth: +135%
Category: Real-time voice AI models
What Cartesia builds
Cartesia develops real-time voice models for developers and enterprises building voice agents. Its products include Sonic for text-to-speech, Ink for speech-to-text, and Line, a platform for building and deploying voice agents.
Latest growth evidence
When Cartesia announced its Series A in March 2025, Fortune reported that its Sonic model was used by more than 10,000 customers, including Quora, Cresta, and Rasa. In 2026, the company released the Ink-2 speech-to-text model and Sonic-3.6. In October, it said Raise Financial Services uses its models in the voice bot for the Dhan trading platform, where more than three-quarters of interactions take place in languages other than English.
Recent funding
Cartesia raised $100 million in October 2025 from investors including Kleiner Perkins, Index Ventures, Lightspeed, and NVIDIA, alongside the launch of Sonic-3. That round followed a $27 million seed led by Index Ventures in December 2024 and a $64 million Series A led by Kleiner Perkins in March 2025.
Why it matters
Cartesia represents the latency-focused model layer of voice AI. As voice agents move into customer service and financial services, response speed and multilingual coverage become purchase criteria.
9) Luma AI
CEO: Amit Jain
Latest round: $900 million Series C, November 2025
12-month headcount growth: +119%
Category: AI video generation and world models
What Luma AI builds
Luma AI develops video generation models and multimodal world models used by entertainment studios, advertising agencies, and technology companies.
Latest growth evidence
Luma said it had grown its team to more than 130 people by November 2025 and was seeing increased adoption by Fortune 500 companies in media, entertainment, and advertising. In December, it opened a London office and said it planned to add 200 roles in London in 2026.
Recent funding
HUMAIN led the $900 million Series C, with significant participation from AMD. The companies also plan a 2-gigawatt compute supercluster, Project Halo.
Why it matters
Luma's round is one of the largest in AI video and ties model development directly to compute capacity, a sign of how capital-intensive frontier video generation has become.
10) Suno
CEO: Mikey Shulman
Latest round: $400 million Series D, June 2026
12-month headcount growth: +111%
Category: AI music generation
What Suno builds
Suno provides an AI music platform that lets people generate songs from text prompts.
Latest growth evidence
Suno said nearly 100 million people had made music on the platform by November 2025. In June 2026, it said it had reached the top of the App Store's Music category in dozens of countries, and its valuation moved from $2.45 billion to $5.4 billion post-money in about seven months.
Recent funding
Bond led the Series D of more than $400 million, with IVP, Forerunner, Union Square Ventures, Alkeon, and Quiet participating. The round followed a $250 million Series C led by Menlo Ventures in November 2025 and a $125 million round in May 2024.
Why it matters
Suno shows consumer creative AI reaching mass-market scale in a category that previously required instruments, software, and training.
What the voice, video and creative AI ranking shows
The companies above span applications, models, and infrastructure, but several patterns repeat.
First, the fastest-growing applications are reaching revenue scale quickly. Higgsfield, ElevenLabs, and Suno all reported large user bases alongside rapid revenue or valuation growth.
Second, voice is splitting into distinct markets. Wispr Flow focuses on dictation as a daily input method, Rime and ElevenLabs serve enterprise voice agents, and Cartesia supplies real-time speech models to teams building their own agents.
Third, a supply chain is forming beneath creative applications. Black Forest Labs licenses models to design platforms, fal serves those models in production, and Luma and PixVerse are investing in world models that extend video into interactive media.
For GTM teams, these companies are hiring quickly, adding enterprise customers, and opening new offices. That combination is more useful when paired with hiring, leadership, technology, and data enrichment signals than when funding is viewed on its own. Teams researching adjacent categories can compare this list with Landbase's rankings of fast-growing voice AI platforms and AI coding and developer tools startups.
How Landbase supports voice, video and creative AI account research
The ranking in this article was built with Landbase. A natural-language search identified AI-native voice, video, image, music, and creative-tools companies, an enrichment step added founding year and 12-month headcount change, and the results were filtered and sorted into a structured dataset.
Landbase's web and CLI interfaces access the same account, datasets, and saved work. An audience created in the web app can move into a repeatable terminal workflow, and CLI-generated datasets remain available in the web app.
For more complex requirements, the Advanced Dataset Creator supports natural-language instructions involving filters, calculations, ratios, and custom output fields.
Landbase's data infrastructure includes more than 800 million contacts and more than 40 million companies across more than 1,500 fields, with enrichment from more than 20 providers.
A creative AI workflow could, for example, identify AI video and voice companies that raised a Series B or later in the past year, grew headcount by more than 100%, recently hired an enterprise sales leader, and opened an office in Europe or Asia.
The Landbase CLI setup supports these workflows from a standard terminal and from AI coding environments including Claude Code and Codex.
Frequently Asked Questions
What counts as a creative AI company?
A creative AI company builds products that generate or edit media using AI, including voice and speech, video, images, music, and 3D content. The category also includes the model developers and inference platforms that those applications rely on.
Which voice, video, or creative AI startup grew headcount fastest?
Higgsfield AI recorded the highest 12-month headcount growth in Landbase data among the companies that met this list's criteria, at more than 500%. It also reported a $1 billion annualized revenue run rate in September 2026.
Why are voice AI companies raising large rounds?
Voice is being adopted in two directions at once. Consumers and knowledge workers are using dictation tools such as Wispr Flow as a primary input method, while enterprises are deploying voice agents for customer service and sales calls.
Does headcount growth mean a company is growing quickly?
Not on its own. Headcount data is based on professional profiles and can differ from company-reported figures, and fast hiring does not guarantee revenue growth. This list therefore pairs headcount growth with disclosed funding, revenue, user, and valuation evidence wherever it is available.
How can GTM teams find fast-growing creative AI companies?
Teams can start with a category definition, such as AI-native voice, video, and creative tools, and then filter by headcount growth, funding stage, recent rounds, geography, technology usage, and hiring activity. Landbase can combine these criteria into reusable datasets and return company and contact information through web and CLI workflows.
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