AI EVALUATION PLATFORM

Fully Automatic AI Evaluation,
End to End

We build autonomous AI agents that discover, test, benchmark, and compare AI technologies at scale — delivering objective, data-driven insights without human intervention.

Explore Our Research View AI Catalog

1840+ AI Products Evaluated

Fully Automated Agent-Driven Pipeline

24/7 Continuous Monitoring

What We Do

We replace manual research and subjective reviews with autonomous AI agents that evaluate the entire AI ecosystem objectively and at scale.

Autonomous Evaluation Agents

Our AI agents autonomously test, benchmark, and evaluate AI tools and models without human intervention — producing objective assessments you can trust.

End-to-End Pipeline

From discovery to data collection, real-world testing, analysis, and report generation — our entire evaluation pipeline runs fully automatically.

Continuous Monitoring

The AI landscape moves fast. Our agents run 24/7, tracking new releases, updating benchmarks, and surfacing trends across 8 categories.

How Our Evaluation Pipeline Works

Four automated stages — from raw data to actionable insights.

Research

Agents continuously scan the AI ecosystem — research papers, product launches, GitHub repos, and industry sources — to identify new technologies.

Test

Automated benchmarking pipelines run real-world tests, collect performance metrics, and verify vendor claims with reproducible methodology.

Evaluate

AI agents synthesize raw data into structured comparisons — identifying strengths, weaknesses, and trade-offs with honest, objective assessments.

Analyze

Results are published as searchable catalog entries and in-depth research reports — freely accessible and continuously updated.

Our Technology

Built by AI researchers and engineers who understand the technology from the inside out.

Automated Research & Data Pipelines

LLM-powered extraction agents process data from hundreds of global sources daily, building a comprehensive view of the AI landscape across models, tools, services, agents, frameworks, benchmarks, datasets, and conferences.

LLM-Powered Evaluation Agents

Autonomous agents conduct real-world evaluations — testing coding assistants on actual programming tasks, comparing model outputs head-to-head, and verifying capabilities that vendor benchmarks often miss.

Real-World Sandbox Testing

We test AI products on our real-world sandbox environments — MacOS, Windows, Browser, and more — to evaluate actual performance in the conditions users encounter every day.

Open & Transparent Methodology

Our evaluation criteria and ranking methodology are published and transparent. We believe objective analysis requires accountability — every assessment can be scrutinized and reproduced.