Artificial Analysis
Artificial Analysis is an independent AI benchmarking firm that runs proprietary evaluations across large language models, coding agents, multimodal AI, and inference hardware. It serves AI developers, businesses adopting AI, AI platform providers, and enterprise IT teams via free leaderboards, commercial subscriptions, and custom benchmarking services.
- Company typePrivate
- Founded2023
- HeadquartersNewark, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Artificial Analysis does
Artificial Analysis is an independent AI benchmarking and analysis firm that evaluates AI models, inference API endpoints, and systems across multiple modalities including text, code, speech, image, video, and music. Founded by George Cameron (CPO) and Micah Hill-Smith (CEO), it is Australian-founded with operational presence in Newark, US, and a lean team of 11-50 employees. The company differentiates through a self-operated "mystery shopper" evaluation methodology in which it runs all benchmarks independently, counteracting the bias inherent in vendor self-reported metrics. As of recent reporting the platform tracks 542 models across multiple evaluation suites.
The product surface is anchored by the Intelligence Index (a composite of nine evaluations including GDPval-AA, AA-Omniscience, AA-LCR, Terminal-Bench, and Humanity's Last Exam) and extends into dedicated indices for coding agents, model openness, agentic hardware (AA-AgentPerf, AA-SLT), speech-to-speech quality, image, video, and music generation. Data is exposed via a freemium public website with leaderboards, a free API capped at 1,000 requests per day, and a separate commercial API for partners. Revenue is generated through enterprise benchmarking subscriptions (undisclosed pricing), private custom benchmarking for AI labs and infrastructure vendors, advisory services covering market research, use-case discovery, and cost analysis, and the commercial API tier. Customer segments span AI developers and researchers, businesses adopting AI, AI platform and infrastructure providers, and enterprise IT teams; no named customer logos or deal sizes are disclosed. The firm reports no external venture funding and appears to operate as a self-sustaining independent business.
Artificial Analysis firmographics
Firmographics- Name
- Artificial Analysis
- Legal name
- Artificial Analysis
- Website
- https://artificialanalysis.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Artificial Analysis is an independent AI benchmarking firm that runs proprietary evaluations across large language models, coding agents, multimodal AI, and inference hardware. It serves AI developers, businesses adopting AI, AI platform providers, and enterprise IT teams via free leaderboards, commercial subscriptions, and custom benchmarking services.
- Ownership category
- akta.pro rank
Artificial Analysis industry classification
Industry- Product category
- AI Model Benchmarking and Evaluation
- NAICS
- Software Publishers (513210), Software Publishers (5132)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Evaluation, Benchmarking & Observability (Evals, Monitoring, Tracing) (HDAAACAH)
- akta.pro secondary industries
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
Keywords
Where Artificial Analysis is headquartered
LocationHeadquarters
- HQ city
- Newark
- HQ country
- United States
- HQ region
- North America
Markets served
Artificial Analysis business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Free Public Benchmarks: Freely accessible benchmark data, leaderboards, and API access (1,000 requests/day) serve as the primary user acquisition channel, building brand awareness and driving premium upsell opportunities.
- Enterprise Benchmarking Subscriptions: Premium plans offering expanded benchmark data, custom visualizations, industry reports, and advanced analytics for enterprise subscribers.
- Private Custom Benchmarking: Custom benchmarking services for AI companies seeking private, tailored technical performance and quality benchmarking for specific use cases, as well as model fine-tuning support and impact analysis.
- Advisory Services: AI market and customer research, use-case discovery, technology selection consulting, and technology cost-analysis for organizations considering AI deployments.
- Commercial API Access: Commercial API with more comprehensive data available to partners, providing expanded access beyond the free tier limitations.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Tier |
| Subscription | Monthly | Premium Plans |
| Other | Multi-year contract | Custom Benchmarking Services |
Go-to-market motion3 records
Distribution channels6 records
Marketing channels6 records
Artificial Analysis product offering
Product offeringCore offering
Artificial Analysis operates an independent AI benchmarking platform that runs intelligence, quality, performance, and cost evaluations on AI models, inference API endpoints, and hardware systems across LLM, speech, image, video, and music modalities. Its flagship Intelligence Index synthesizes nine evaluations into a single intelligence score and powers public leaderboards, while premium subscriptions, a commercial API, and private custom benchmarking deliver enterprise-grade data and advisory services.
Product overview
Artificial Analysis is an independent AI benchmarking and analysis company offering a comprehensive platform of benchmark products and services. The core flagship product is the Intelligence Index, a composite benchmark synthesizing 9 evaluations into a single intelligence score for evaluating AI models. Supporting the Intelligence Index are specialized evaluations including AA-Omniscience (knowledge reliability/hallucination), Openness Index (model transparency), GDPval-AA v2 (real-world work tasks), and AA-Briefcase (long-horizon knowledge work). The platform also includes the Coding Agent Index for autonomous coding performance, AA-AgentPerf for hardware benchmarking of agentic workloads, and the System Load Test (AA-SLT) for GPU performance under load. Beyond text/LLM benchmarking, the platform covers multimodal AI through dedicated arenas and leaderboards for Speech to Speech, Speech to Text, Text to Speech, Image Generation, Video Generation, and Music Generation. Data access is provided via free and commercial APIs, with additional Advisory and Custom Benchmarking Services for organizations.
Differentiator
Problem solved
Functional benefit
Products and services
- Intelligence Index Flagship composite benchmark that synthesizes nine evaluations (GDPval-AA v2, τ³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR) into a single intelligence score for evaluating leading AI models. Used by AI developers, enterprise buyers, and labs to compare LLM intelligence across providers.
- Coding Agent Index Performance, cost, and execution time benchmark for leading coding agents on end-to-end software engineering tasks, measuring pass@1 across DeepSWE, Terminal-Bench v2, and SWE-Atlas-QnA evaluations. Used by engineering teams evaluating autonomous coding tools.
- AA-Omniscience Knowledge and hallucination benchmark that rewards accuracy and punishes bad guesses, providing a comprehensive view of which models produce factually reliable outputs. Scores range from -100 to 100. Used by enterprise teams assessing model reliability.
- Openness Index Composite metric measuring model openness based on weights availability, license terms, and transparency of pre-training data, post-training data, and methodology. Scored on a 0-100 scale. Used by developers and policy analysts evaluating open vs proprietary models.
- GDPval-AA v2 Evaluation of AI models on real-world, economically valuable tasks across 44 occupations and 9 industries, anchored to a human baseline of 1,000, testing whether AI can complete work professionals are paid to do. Used by enterprises benchmarking real-world productivity.
- AA-Briefcase Frontier agentic evaluation for long-horizon knowledge work that tests agents on realistic business workflows requiring deliverables such as spreadsheets, presentations, and memos. Combines rubric pass rate, analytical quality Elo, and presentation Elo. Used to assess autonomous agent capabilities.
- AA-AgentPerf Hardware benchmark measuring how many active agents an inference deployment can support under realistic agentic workloads while meeting per-agent performance targets (time to first token and output speed), using real agentic trajectories with sustained concurrent load. Used by AI infrastructure teams.
- System Load Test (AA-SLT) Standardized benchmarking framework evaluating AI hardware performance under realistic load conditions, measuring system throughput, per-query latency, response rate, and output speed across varying concurrency levels. Used by hardware vendors and inference providers.
- Speech to Speech Index Weighted-average synthesis metric for native Speech to Speech model quality combining Speech Reasoning (Big Bench Audio), Conversational Dynamics (Full Duplex Bench), and Agentic Performance (τ-Voice). Used by speech AI developers and enterprise buyers.
- Image Arena & Leaderboard Blind preference voting arena for text-to-image and image editing models with Elo scores computed using Bradley-Terry Maximum Likelihood Estimation, covering General & Photorealistic styles and various subject matter categories. Used by image generation model developers and buyers.
- Video Arena & Leaderboard Blind preference voting arena and generation benchmarking for text-to-video and image-to-video models. Measures Quality Elo, generation time, and price per minute of video across six modalities including audio-enabled variants. Used by video generation model developers and buyers.
- Music Arena & Leaderboard Blind preference voting arena for music generation models in instrumental and vocals modalities with Elo ratings and genre-specific breakdowns. Used by music AI developers and buyers.
- API Access Free API providing access to benchmark data for LLMs (evaluations, pricing, speed metrics), text-to-image, image editing, text-to-speech, text-to-video, and image-to-video, rate-limited to 1,000 requests per day. A commercial API with more comprehensive data is available to partners.
- Advisory & Custom Benchmarking Services Engagement-based services including AI market research, use-case discovery, technology selection consulting, and cost analysis, plus custom benchmarking for technical performance and quality for specific use cases, model fine-tuning support, and impact analysis. Delivered via direct sales.
Quantifiable outcome
- Independent benchmarks adopted by major AI labs including Cerebras, NVIDIA, and CoreWeave for validation of inference performance claims
- +1 more outcomes
Companies that use Artificial Analysis
Customer profileSegments4 records
Ideal customer profiles4 records
Artificial Analysis technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability14 records
Feature8 records
Artificial Analysis partnerships and signals
Strategic signalScale indicators5 records
Recent moves6 records
Expansion highlights6 records
Artificial Analysis competitors and assessment
Company assessmentDirect peers
- Epoch AI: Epoch AI is a research organization tracking AI capability trends and producing benchmark analyses and forecasts. Comparable as an independent third party producing model evaluations and AI progress data, though more research-oriented and less commercial.
- Hugging Face Open LLM Leaderboard: Hugging Face's open leaderboard ranks LLMs on standardized benchmarks. Direct competitor targeting developers and researchers with free, open benchmarking — overlaps significantly with Artificial Analysis's Intelligence Index.
- MLCommons MLPerf: MLPerf provides industry-standard benchmarks for ML hardware and inference performance, including MLPerf Inference and Training. Directly comparable to Artificial Analysis's AA-SLT and AA-AgentPerf hardware benchmarking offerings.
- LMSYS / Chatbot Arena: LMSYS operates Chatbot Arena, the leading crowdsourced LLM benchmark with Elo ratings via blind pairwise comparisons. Directly comparable to Artificial Analysis as an independent third-party LLM evaluator competing for the same community mindshare.
- Stanford HELM: Stanford's Holistic Evaluation of Language Models is an academic leaderboard evaluating accuracy, calibration, robustness, fairness, and efficiency. Comparable as a benchmark authority but with academic funding and slower iteration cadence.
Emerging players
- Vellum AI: Vellum AI offers an LLM evaluation and comparison platform for enterprises, including prompt engineering and observability tooling. Comparable in serving enterprise buyers evaluating models, though with a heavier focus on developer workflow than public leaderboards.
- Patronus AI: Patronus AI provides LLM evaluation tooling for hallucination detection and enterprise reliability. Comparable in the AI quality and evaluation category, particularly adjacent to Artificial Analysis's AA-Omniscience benchmark.
- LLM Stats: LLM Stats is an emerging benchmark aggregator and leaderboard focused on LLM performance and pricing comparisons. Comparable as an independent third-party benchmarking resource, with a narrower initial focus than Artificial Analysis.
Broad incumbents
- Scale AI (SEAL Leaderboards): Scale AI operates SEAL (Scale Evaluation and Leaderboards) for expert-driven model evaluation alongside its broader data labeling and AI services business. Comparable as a benchmark publisher but with much broader commercial scale and infrastructure.
- Weights & Biases: Weights & Biases provides ML experiment tracking, model evaluation, and observability tools for AI teams. Comparable in the model evaluation category but as part of a broader MLOps platform with significantly more headcount and venture funding.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Artificial Analysis social profiles
Digital presenceArtificial Analysis financial estimates
Financial estimateRevenue estimate
Valuation estimate
Artificial Analysis leadership team
Management profileNumber of profiles
Profiles2 records
Artificial Analysis funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Artificial Analysis M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Artificial Analysis
What does Artificial Analysis do?
Artificial Analysis operates an independent AI benchmarking platform that runs intelligence, quality, performance, and cost evaluations on AI models, inference API endpoints, and hardware systems across LLM, speech, image, video, and music modalities. Its flagship Intelligence Index synthesizes nine evaluations into a single intelligence score and powers public leaderboards, while premium subscriptions, a commercial API, and private custom benchmarking deliver enterprise-grade data and advisory services.
Is Artificial Analysis a public or private company?
Artificial Analysis is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Artificial Analysis founded?
Artificial Analysis was founded in 2023. It employs 51 to 100 people.
Where is Artificial Analysis based?
Artificial Analysis is headquartered in Newark, United States, in the North America region.
How does Artificial Analysis make money?
Five revenue lines are on record. Free Public Benchmarks are the primary driver. The others are enterprise Benchmarking Subscriptions, private Custom Benchmarking, advisory Services and commercial API Access.
Who are Artificial Analysis's main competitors?
Direct peers on record are Epoch AI, Hugging Face Open LLM Leaderboard, MLCommons MLPerf, LMSYS / Chatbot Arena and Stanford HELM. Emerging players are Vellum AI, Patronus AI and LLM Stats. Broad incumbents are Scale AI (SEAL Leaderboards) and Weights & Biases.
Does Artificial Analysis have an API?
Yes. Artificial Analysis provides a free API focused on sharing primary metrics from independent benchmarks of models, including intelligence evaluations, speed benchmarks, and pricing. The free API is rate-limited to 1,000 requests per day and requires account creation on the Artificial Analysis Insights Platform with API key authentication via the x-api-key header. A separate commercial API with more comprehensive data is available to partners. The API provides endpoints for LLM models data (evaluations, pricing, speed metrics), text-to-image, image editing, text-to-speech, text-to-video, image-to-video, and CritPt benchmark evaluation. Developer documentation is at artificialanalysis.ai/api-reference.
What industry is Artificial Analysis in?
Artificial Analysis's product category is AI Model Benchmarking and Evaluation. Its primary akta.pro industry code is HDAAACAH, Evaluation, Benchmarking & Observability (Evals, Monitoring, Tracing), with a secondary code of HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety). Its NAICS code is 513210 and its SIC code is 7371.