26 Fastest-Growing AI Startups with Disclosed Growth Numbers
Last updated: 30 October 2025
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Together AI, Cursor, and OpenEvidence achieved 233%, 2,493%, and 2,374% year-over-year growth respectively, leading the fastest-growing AI companies from developer tools to healthcare.
Across 26 companies spanning 10 industries, average growth rates exceed 200% annually. Several hit unicorn status in under two years.
The pattern: companies demonstrating measurable ROI through automation and productivity gains capture the most value. Enterprise customers drive revenue through workflow integration and proven business impact. Learn more in our market report about AI Wrappers.
Quick Summary
The fastest-growing AI startups from 2023-2025 achieved 200-2,493% annual growth through specialized solutions, not general-purpose AI.
Cursor hit $500M ARR in 12 months (fastest to $100M ARR ever). Moniepoint grew 7,979% over three years. OpenEvidence grew 2,374% YoY.
Success patterns: workflow integration, enterprise focus, measurable ROI, vertical specialization across developer tools, healthcare, legal, cybersecurity, and fintech.
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26 Fastest-Growing AI Startups with Disclosed Growth Numbers
1. Together AI
What it does
Together AI provides an AI Acceleration Cloud for training, fine-tuning, and running 200+ open-source AI models like Llama without building expensive GPU infrastructure. They offer GPU cloud infrastructure with proprietary inference engines using FlashAttention technology.How did they grow
Together AI achieved 233% revenue growth in 12 months, scaling from $30M ARR (February 2024) to $100M+ ARR (February 2025). Valuation jumped from $1.25B to $3.3B (164% in 11 months). Platform attracted 450,000+ developers and enterprises.How they did it
They focused on open-source models (200+ options vs proprietary) with competitive pricing versus hyperscalers. Deployed massive GPU clusters including 36,000 NVIDIA Blackwell GPUs and built proprietary data centers for better margins. Secured major customers like Salesforce, Zoom, and SK Telecom.2. Lambda Labs
What it does
Lambda Labs provides on-demand GPU computing for AI development and deployment. They offer cloud-based GPU computing optimized for AI training and inference with NVIDIA DGX systems and Quantum-2 InfiniBand networking.How did they grow
Lambda Labs achieved 60% YoY quarterly revenue growth, from $117M (Q2 2024) to $140M (Q2 2025). Annualized revenue reached $500M+ by May 2025, up from $425M in December 2024. Valuation increased from $1.5B to $2.5B (67% in 19 months).How they did it
Competitive pricing at $2.49/hour for H100 instances vs $4.25 at CoreWeave made GPU access affordable. Strategic pivot from hardware sales to cloud-first strategy and beneficial NVIDIA relationships during GPU scarcity drove growth. Launched Lambda Inference API and Lambda Chat service hosting popular models like DeepSeek-R1.3. Cursor
What it does
Cursor is an AI-native code editor with intelligent autocomplete, chat assistance, and multi-file editing. Built around AI from the ground up using GPT-4, Claude, and proprietary models with Shadow Workspace technology for testing changes before showing developers.How did they grow
Cursor reached $500M ARR in 12 months from launch, fastest to $100M ARR in SaaS history. Scaled from $100M total 2024 revenue to $300M ARR (April 2025) to $500M ARR (May 2025), roughly 60% MoM growth. Valuation jumped from $400M to $9.9B (24.75x in 9 months). Users grew from 40,000 to 360,000+ paying customers in 16 months.How they did it
Product-led growth with generous freemium (2,000 free completions) and affordable pricing ($20/month Pro, $40/month Business). Zero switching cost as a VS Code fork. Bottom-up adoption where developers became internal champions, achieving 35% free-to-paid conversion rate.Sources: DevGraphIQ, Sacra4. Codeium
What it does
Codeium provides AI-powered code completion, chat assistance, and code review with flexible deployment. Trained only on permissively-licensed code using proprietary LLMs. Features Cortex engine (200% better retrieval, 40x faster), Forge code review, and Windsurf Editor with agentic AI.How did they grow
Codeium achieved 500%+ ARR growth from early 2024 to August 2024, scaling from low single-digit millions to $10M+ ARR, reaching ~$40M ARR by February 2025. Attracted 700,000+ developers and 1,000+ enterprise customers including Zillow, Dell, and Anduril. Valuation jumped from $500M to $2.85B (470% in 13 months).How they did it
Enterprise-first strategy with self-hosted deployment addressed security concerns. Legal risk mitigation by removing unlicensed code from training resonated with risk-aware enterprises. Generous free tier drove 700,000+ developers while custom models trainable on company codebases created enterprise stickiness.5. Replit
What it does
Replit is a browser-based coding platform for building, deploying, and hosting software without complex setup. Their Replit Agent builds entire applications from natural language descriptions, democratizing software development for beginners and professionals.How did they grow
Replit achieved 2,493% YoY revenue growth from April 2024 to April 2025. Scaled from $10M ARR (late 2023) to $100M ARR in 16 months (March 2025). Users exploded from 20M (March 2023) to 40M (November 2024). Valuation rose from $1.16B to $2.7B.How they did it
AI Agent made coding accessible to non-programmers, expanding total addressable market beyond developers. Strong creator economy with 75% of daily users creating content fostered viral growth. Freemium model ($25/month Core, $350/month Teams) drove conversion. Education-first approach captured students early.Sources: Sacra, Product Hunt6. Glean
What it does
Glean is an enterprise AI search platform that helps employees find information across all company tools instantly. Uses proprietary AI combining semantic search, LLMs, and retrieval-augmented generation for accurate answers.How did they grow
Glean achieved 400% ARR growth from January to June 2024, scaling from $10M ARR (mid-2023) to $100M ARR (May 2024) in 24 months. Added 200+ enterprise customers in H1 2024, now serving 1,000+ including Databricks, Sony, and Stripe. Valuation jumped from $1B to $4.6B (360% in under three years).How they did it
Exclusive focus on large enterprises (1,000+ employees) from day one. AI Assistant synthesized information rather than just returning search results, driving higher engagement. Enterprise-grade security enabled rapid Fortune 500 deployment. Integration with 100+ workplace apps created comprehensive knowledge hub.Sources: Sacra, Yahoo Tech7. Poolside
What it does
Poolside builds AI that understands, writes, and modifies entire codebases, not just individual functions. AI models specifically trained on large-scale code repositories handle enterprise-level software development challenges.How did they grow
Poolside raised $600M in October 2024 at $3B valuation after raising $126M at $400M in July 2024. This represents 650% valuation increase in three months and 583% in eight months since founding in January 2024.How they did it
Differentiated by focusing on entire codebases rather than autocomplete, addressing real enterprise needs existing tools couldn't solve. Assembled world-class team of AI researchers and former Google engineers. Massive capital deployment into model training positioned them to compete with well-funded incumbents.Sources: TechCrunch, Sacra8. Synthesia
What it does
Synthesia creates AI-generated videos with realistic digital avatars speaking in 140+ languages without filming or expensive equipment. Their AI generates photorealistic human presenters delivering scripts in any language with natural expressions.How did they grow
Synthesia achieved 456% revenue growth from 2021 to 2023, scaling from ~$6.75M to $37.5M+. Customer base exploded from dozens (early 2022) to 55,000+ businesses (July 2024), 70% enterprise. Valuation rose from $1B to $2.1B (110% in 13 months).How they did it
Solved expensive training video creation with 50-80% cost savings versus traditional production. Enterprise-first strategy targeted organizations like Accenture, BSH, and Xerox needing scale multilingual training content. Product-led growth with freemium access lowered adoption barriers.9. Paxton AI
What it does
Paxton AI is an AI-powered legal research assistant finding relevant case law and statutes faster than traditional methods. Specifically trained on legal documents with citation verification for accuracy.How did they grow
Paxton AI achieved 1,400% MRR growth in nine months (March to December 2024). Reached profitability in first year, demonstrating exceptional product-market fit. Valuation reached $250M by December 2024.How they did it
Focused on legal vertical where accuracy is paramount, building deep domain expertise. Rigorous citation verification addressed AI hallucination concerns. Word-of-mouth within law firms drove organic expansion. Competitive pricing versus Westlaw and LexisNexis made ROI compelling.Sources: TechCrunch, Sacra10. Robin AI
What it does
Robin AI combines AI with human legal expertise for contract review and negotiation. Platform uses LLMs fine-tuned on millions of contracts, paired with human lawyers for quality control.How did they grow
Robin AI achieved 900% revenue growth in 2023. Scaled to 200+ enterprise customers including Nike, Exelon, and Pfizer across 90 countries. Valuation reached $580M by September 2024 after $65M Series B.How they did it
Hybrid AI plus human approach addressed trust concerns preventing pure-AI adoption. Case study showed 80% time savings on contract review, creating compelling ROI. Enterprise-first sales targeting Fortune 500 with high contract volumes created large initial deals.11. Harvey
What it does
Harvey is an AI assistant built for elite law firms, helping with legal research, document drafting, and case analysis. Trained exclusively on legal documents across multiple jurisdictions with specialized LLMs.How did they grow
Harvey achieved 500%+ YoY revenue growth from January 2024 to January 2025. Scaled to 500+ law firm clients and 500 corporate legal departments, including all top 100 US law firms. Valuation jumped from $715M to $2.45B (243% in 13 months).How they did it
Exclusive focus on top-tier law firms where accuracy and security are non-negotiable. Partnerships with Allen & Overy and PwC provided credibility accelerating sales. Specialized legal AI models outperformed general LLMs, justifying premium pricing.Sources: TechCrunch, Sacra12. OpenEvidence
What it does
OpenEvidence is an AI medical research platform helping doctors find evidence-based answers by searching 56 million research papers. AI trained on medical literature with citation verification for every claim.How did they grow
OpenEvidence achieved 2,374% YoY growth in consultations from July 2024 to July 2025. Scaled from under 1M consultations (July 2024) to 24M+ (July 2025). Valuation skyrocketed from $1B to $6B (500% in eight months).How they did it
Solved critical doctor pain point of lacking time to review research while needing evidence-based answers. Freemium model with generous limits drove viral adoption among medical professionals. Epic EHR integration made it available in doctors' workflows.Sources: Sacra13. Abridge
What it does
Abridge creates AI-powered medical documentation that automatically transcribes patient conversations and generates clinical notes. Specialized medical AI understands terminology and generates EHR-formatted notes in real-time.How did they grow
Abridge achieved 500%+ revenue growth from January 2024 to January 2025. Scaled from individual physicians to enterprise contracts, expanding to 10,000+ clinicians. Valuation increased from $850M to $2.5B (194% in 12 months).How they did it
Addressed physician burnout by solving documentation burden (2-3 hours paperwork per hour with patients). Enterprise sales targeting health systems created large contracts scaling across organizations. Epic integration made Abridge part of existing workflows.Sources: Becker's Hospital Review, Sacra14. Ambience Healthcare
What it does
Ambience Healthcare provides AI-powered documentation and clinical intelligence reducing administrative burden. AutoScribe technology captures patient encounters in real-time and generates comprehensive clinical notes.How did they grow
Ambience achieved 400% revenue growth in 2024. Expanded to partnerships with UCSF Health, Memorial Hermann, and Emory Healthcare. Reached $1B valuation in December 2024, achieving unicorn status two years after 2022 founding.How they did it
Enterprise health systems focus from day one secured large contracts scaling across facilities. Comprehensive platform addressed multiple pain points (documentation, coding, quality reporting). Clinical validation through prestigious academic medical centers provided credibility.Sources: TechCrunch, Sacra15. Hippocratic AI
What it does
Hippocratic AI creates AI healthcare professionals handling routine tasks like patient outreach and chronic disease management via phone. Generative AI agents trained on healthcare protocols with human nurse oversight.How did they grow
Hippocratic AI reached $2M MRR within first year of 2024 operation. Signed partnerships with health systems representing 50,000+ hospital beds. Valuation reached $1.6B in February 2025, 18 months after September 2023 founding.How they did it
Targeted massive pain point where healthcare systems face severe staffing shortages but have enormous routine task volumes. Hybrid model with AI supervised by human nurses addressed safety concerns. AI agents cost a fraction of human staff while being available 24/7.Sources: Sacra16. Wiz
What it does
Wiz provides cloud security scanning entire environments to identify vulnerabilities and threats across AWS, Azure, and Google Cloud. AI-powered platform analyzes billions of cloud configurations to prioritize critical risks.How did they grow
Wiz achieved 250% YoY ARR growth from 2023 to 2024, scaling from $350M to $500M ARR in 12 months. Reached $1B ARR by Q4 2024, fastest software company to this milestone. Valuation skyrocketed from $10B to $23B (130% in three months).How they did it
Agentless architecture scanned entire cloud environments in hours vs weeks required by legacy solutions. Targeted high-growth tech companies moving to cloud needing security without dedicated teams. Product-led growth let developers discover Wiz then champion it company-wide.Sources: TechCrunch, Sacra17. Cyera
What it does
Cyera provides data security that automatically discovers, classifies, and protects sensitive data across cloud and SaaS applications. AI continuously scans data stores identifying PII, financial data, and IP.How did they grow
Cyera achieved 600% valuation growth in 2024, from $1.4B (May 2024) to $3B (November 2024) to $4.8B (July 2025). Expanded from ~$30M ARR (early 2024) to $100M+ ARR (mid-2025). Over 500 enterprise clients by mid-2025.How they did it
Addressed increasing regulatory pressure (GDPR, CCPA, HIPAA) where companies face massive fines but lack data visibility. AI-powered automatic discovery eliminated months of manual work. Market timing perfect as breach costs hit all-time highs and cyber insurance requirements tightened.Sources: TechCrunch, Sacra18. Torq
What it does
Torq provides security automation helping teams respond to threats faster by automating repetitive tasks and orchestrating responses across security tools. AI-powered platform integrates with hundreds of tools for automated workflows.How did they grow
Torq achieved 400% revenue growth from 2023 to 2024. Expanded to 300+ clients across financial services, healthcare, and tech. Valuation increased from $1B to $2B (100% in seven months).How they did it
Solved critical problem where security teams are overwhelmed with thousands of daily alerts lacking resources to investigate each. No-code automation let teams build workflows without engineering resources. Demonstrable ROI through 50-70% reduction in time spent on routine tasks.Sources: TechCrunch, Sacra19. Harmonic Security
What it does
Harmonic Security provides AI-powered data loss prevention stopping sensitive data from leaking through SaaS applications and AI tools like ChatGPT. Machine learning models analyze data context in real-time to block risky actions.How did they grow
Harmonic Security achieved 900% revenue growth in first 18 months (early 2023 to mid-2024). Signed 200+ enterprise customers across tech, finance, and healthcare. Valuation reached $400M by December 2024 after $75M Series B, 15 months after Series A.How they did it
Addressed explosion of SaaS and AI applications creating data leakage vectors traditional tools couldn't monitor. AI models reduced false positives by 90% vs legacy DLP, eliminating alert fatigue. Fast deployment in hours vs months meant immediate value.Sources: TechCrunch, Sacra20. Ramp
What it does
Ramp is a corporate card and spend management platform using AI to control expenses, automate reports, and optimize spending. AI analyzes patterns to identify duplicate subscriptions, negotiate pricing, and flag unusual transactions.How did they grow
Ramp achieved 300% YoY revenue growth from 2022 to 2024, scaling from ~$100M ARR (late 2022) to $400M+ ARR (mid-2024). Expanded from 5,000 to 30,000+ customers including Shopify, Glossier, and Barry's. Valuation jumped from $8.1B to $13.6B (68%).How they did it
Demonstrated measurable impact with customers achieving 30% improvement in free cash flow within first year. AI-powered insights automatically identified savings without manual effort. Product-led growth with instant signup and no fees lowered barriers.Sources: Sacra, TechCrunch21. Brex
What it does
Brex provides corporate credit cards for startups and tech companies, using AI to underwrite risk based on runway and metrics rather than traditional credit scores. AI analyzes cash flow and burn rate for real-time credit decisions.How did they grow
Brex achieved 200% revenue growth from 2022 to 2024, scaling from ~$200M to $600M+. Expanded from startups to mid-market and enterprise, reaching 20,000+ active companies. Valuation reached $12.3B in January 2024.How they did it
Targeted underserved market where traditional banks rejected most startups, creating large addressable market. Instant approval using AI-powered underwriting provided decisions in minutes vs weeks. Strategic focus on high-growth tech companies created natural expansion as customers scaled.Sources: Sacra, CB Insights22. Unit21
What it does
Unit21 provides fraud detection and anti-money laundering software using AI to identify suspicious transactions before they cause harm. Machine learning models continuously learn from new fraud patterns.How did they grow
Unit21 achieved 400% YoY revenue growth from 2022 to 2024. Expanded from fintech startups to major financial institutions and crypto exchanges, processing billions monthly by 2024. Secured clients including Brex, Visa, and Coinbase.How they did it
Solved critical compliance problem where fintechs faced massive penalties but existing solutions were built for traditional banks. Modern API-first platform let fintechs integrate in days vs months. Adaptive AI models learning from each customer's patterns significantly reduced false positives.Sources: Sacra, GlobeNewswire23. Sardine
What it does
Sardine provides real-time fraud prevention for crypto and fintech using AI to analyze user behavior and transaction patterns. Machine learning detects account takeovers and money laundering by analyzing thousands of behavioral signals.How did they grow
Sardine achieved 500% revenue growth from 2022 to 2024. Expanded from crypto exchanges to major fintechs and banks, protecting $3B+ in monthly transaction volume. Raised $75M Series B in 2023 at $550M valuation.How they did it
Focused on crypto and fintech where fraud rates are 3-5x higher but existing tools weren't designed for crypto risks. Behavioral biometrics analyzing how users interact with devices caught sophisticated fraudsters traditional KYC missed. Real-time decisioning under 50ms prevented fraud without impacting experience.Sources: Sacra, TechCrunch24. Heron Data
What it does
Heron Data provides AI-powered transaction monitoring and enrichment that automatically categorizes and analyzes bank transactions for fintechs and lenders. It's like having a financial analyst who can instantly understand what every transaction means and spot patterns in spending behavior. Their machine learning models process millions of transactions to extract insights about creditworthiness, fraud risk, and business health.How did they grow
Heron Data achieved 350% revenue growth from 2023 to 2024. They expanded from serving primarily SMB lenders to major banks and credit bureaus, processing over 100 million transactions monthly by 2024. The company secured partnerships with leading lending platforms and financial institutions, demonstrating trust in their data accuracy and reliability.How they did it
Heron Data addressed a fundamental problem where raw bank transaction data is messy and inconsistent, making it difficult for lenders to assess creditworthiness accurately. Their AI models achieved over 95% accuracy in transaction categorization compared to 60-70% for legacy systems, dramatically improving underwriting decisions. API-first architecture allowed rapid integration with existing lending platforms, while the shift to embedded finance where non-banks offer credit products created massive demand for transaction enrichment services.Sources: Sacra25. Middesk
What it does
Middesk provides business identity verification and KYB (Know Your Business) solutions that use AI to help companies verify and onboard business customers faster. It's like having an investigator who can instantly verify a business is legitimate and compliant rather than spending weeks on manual checks. Their AI aggregates and validates data from thousands of government databases and commercial sources.How did they grow
Middesk achieved 300% year-over-year revenue growth from 2023 to 2024. They expanded from serving primarily fintechs to major financial institutions and B2B platforms, verifying over 10 million businesses by 2024. The company's valuation reached $1 billion in July 2024 after raising $60 million in Series B funding, achieving unicorn status just four years after founding.How they did it
Middesk solved a major pain point where verifying business customers required manual work across dozens of databases, taking days or weeks and causing customer drop-off. Their AI-powered verification reduced onboarding time from days to minutes, dramatically improving conversion rates for B2B platforms. Comprehensive data coverage across all 50 US states plus international markets made Middesk a one-stop solution, while regulatory pressure increased with stricter KYB requirements forcing companies to upgrade from manual processes.Sources: Sacra, TechCrunch26. Zest AI
What it does
Zest AI provides machine learning software for banks and credit unions to improve lending decisions by analyzing more data points than traditional credit scoring. It's like upgrading from a basic credit score to a comprehensive analysis that considers hundreds of factors to predict creditworthiness more accurately. Their AI models help lenders approve more borrowers while reducing default rates.How did they grow
Zest AI achieved explosive 1,654% revenue growth over two years from 2022 to 2024. They expanded from processing 16.3 million lending decisions in 2022 to 22 million in 2023, representing a 35% year-over-year increase. Over four years, they processed 39 million loan applications resulting in $250 billion in loans granted, demonstrating massive scale and impact across the lending industry.How they did it
Zest AI addressed fair lending concerns by helping banks expand credit access to underserved populations while maintaining profitability, aligning profit motives with social impact. Their AI models demonstrably improved approval rates by 15-20% while maintaining or reducing default rates, creating clear ROI for lenders. Product expansion beyond core underwriting to fraud protection and generative AI tools made Zest a comprehensive lending platform, while serving diverse customers from small credit unions to major banks created market penetration across the entire banking sector.
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