LayerLens

Crowdsourced head-to-head AI model evaluation platform that generates public leaderboards from anonymous votes by real users and provides paid model evaluation services to AI companies

Series B · $450M · 2026-10 · Valuation $3.1B

Evaluation platform for enterprise LLMs and AI agents, monitoring output quality with calibrated AI judges

Undisclosed · $3M · 2024-09

Evolved from open-source React performance tools (Million.js compiler, React Scan, Million Lint) to React Bench, a frontend code benchmark for AI coding agents, and training data; customers are frontend developers and AI teams training/evaluating coding models; addresses the difficulty of verifying the quality of AI-generated frontend code

Designs realistic evaluation benchmarks for AI coding agents, browser agents and multimodal models, and sells accompanying synthetic training and evaluation data

Luchen Cloud GPU computing platform and MaaS inference APIs, supporting large model training, fine-tuning, and private deployment for enterprises and universities

Series B · $138M · 2026-03

R&D on technology to improve the factual accuracy and reliability of generative AI models

Undisclosed · $5M · 2023-12

Automatically evaluates frontier LLMs' performance and cost in a company's specific use cases and recommends model selection

Undisclosed · $2M · 2023-10

Helps companies integrate generative AI into existing workflows

Series A · $18M · 2026-06

LLM evaluation and benchmarking platform

Undisclosed · $16M · 2025-08

Enterprise AI reliability: builds and runs enterprise AI agent systems on in-house platform Nora, using an in-house ~27B-parameter hallucination detection model to check each agent response, trace root causes and close the loop on fixes; small models to cut inference costs

Testing, observability and governance platform for enterprise AI agent deployments

Seed · 2026-10