Evaratus offers high‑fidelity reinforcement‑learning environments and curated, expert‑verified training data to accelerate AI model development for enterprise applications. By partnering with frontier AI firms, it provides simulated replicas of live systems, cross‑domain benchmarks, and access to top‑tier talent, enabling developers to test and train models in realistic product and project‑management scenarios. The platform aims to unlock professional‑grade AI work that is typically locked inside large organizations.
Funding
Funding not disclosed
Founders
Product
Problem
AI developers lack realistic, enterprise-grade environments for training and evaluating reinforcement‑learning models, leading to low pass rates and costly deployment failures when models encounter live business systems.
Solution
Evaratus offers high‑fidelity reinforcement‑learning environments that faithfully replicate real enterprise systems such as web platforms, Model Context Protocol (MCP) servers, and other enterprise applications. The company curates expert‑verified datasets and provides cross‑domain benchmarks, enabling developers to test AI performance under live‑like conditions. By delivering transparent data ownership and access to a global network of top‑tier talent, Evaratus helps accelerate model training, improve evaluation accuracy, and increase readiness for production deployment.
Target Audience
Primary customers are AI research labs, reinforcement‑learning startups, and enterprise AI teams that need realistic training environments and benchmark data for model development.
Features
- High‑fidelity replicas of live enterprise systems for RL training and evaluation
- Cross‑domain coverage spanning web platforms, MCP servers, and enterprise applications
- Expert‑curated, verified datasets with full transparency and ownership
- Standardized benchmarks and evaluation suites for consistent model comparison
- Access to a global network of top 0.1% AI talent for data curation and scenario design