BenchGen
Benchmarking Infrastructure for AI Agents·benchgen.com
BenchGen is a simulation and benchmarking platform that evaluates AI agents inside interactive, digital-twin environments built from a company's enterprise data. It captures full agent decision trajectories, scores behavior across multiple dimensions, identifies failure modes, and turns every benchmark run into training data (including RL datasets and LoRA fine-tuning exports). It supports cloud, on-premise, air-gapped, and sovereign deployments for mission-critical industries.
What it's for
Features 15
- 24/7 SLA support (Enterprise)
- Agentspace visual builder for agents (topics, actions, integrations)
- Audit-ready benchmark reports with per-step accuracy and failure mode identification
- Auto-generated / RL-ready training data (compatible with PPO, GRPO, PRM-style methods)
- Free Skill Checker tool for evaluating agent skill coverage
- Full decision trajectory capture for every agent run
- LoRA fine-tuning with adapter export
- Model/version and prompt-strategy comparison benchmarking
- Public benchmark leaderboard ranking agents/models
- REST API for pipeline integration
- Simulation environments that mirror real enterprise systems (APIs, CRM, ERP, databases)
- Sovereign, on-premise, and air-gapped deployment support
- SSO/SAML support (Enterprise)
- Synthetic data and scenario generation from enterprise data
- Verifiable reward configuration for RL training
Pricing
Enterprise plan pricing is custom and available on request.
50 benchmark runs/mo, 5 evaluation environments, Trajectory capture & export, Community support, Basic failure analysis
50 benchmark runs/mo, 5 evaluation environments
2,000 benchmark runs/mo, Unlimited environments, Full trajectory datasets, Verifiable reward configs, Auto-generated training data, Priority support
2,000 benchmark runs/mo, unlimited environments
Custom / quote-based pricing
Unlimited benchmark runs