Lean Evaluation

Automated Testing

Automatically test GenAI systems against auto-generated evaluation datasets and proprietary benchmark datasets across 12+ critical capability domains.

Human-in-the-Loop Evaluation

Industry-leading HiTL evaluation for the highest-complexity test cases. Human reviewers ensure accuracy where automated scoring falls short.

Custom Metrics and Rubrics

Augment industry best-practice rubrics with custom metrics and datasets tailored to your specific domain, use case, and quality bar.

Production Monitoring

Monitor live production traffic to surface quality metrics, anomalies, and alerts. Detect prompts not covered by your evaluation datasets before they cause failures.

Continuous Improvement Loop

Programmatically convert evaluations into actions. Drive RAG optimization and fine-tuning from evaluation findings. Close the loop between measurement and improvement.

Safety and Reliability Testing

Prevent bias, hallucinations, accuracy failures, and harmful outputs. Adversarial robustness testing, red-teaming, and safety evaluation built into every evaluation cycle.

Regression Detection

Track model performance over time. Automatically surface regressions across versions, prompts, and deployment configurations before they reach users.

Cost and Latency Tracking

Monitor cloud costs, token usage, and latency alongside quality metrics. Understand the full operational profile of your GenAI deployment.

Benchmark Leaderboards

Expert-driven private evaluations across coding, mathematical reasoning, multilingual understanding, agentic tool use, visual-language, and adversarial robustness.

01

Define

Set evaluation criteria, custom rubrics, and safety requirements for your specific use case.

02

Measure

Automated and human evaluation against benchmarks, custom datasets, and production traffic.

03

Analyze

Surface weaknesses, regressions, and gaps across model versions, prompts, and domains.

04

Improve

Drive fine-tuning and RAG optimization from evaluation findings. Track improvement over time.

Model Developers

Benchmark your models against frontier competitors with expert-curated private datasets. Understand exactly where your model leads and where it falls short before public release.

Enterprise AI Teams

Continuously evaluate your production GenAI applications for accuracy, safety, and reliability. Catch regressions, monitor live traffic, and drive improvement from real data.

Public Sector Organizations

Rigorous evaluation and compliance-ready reporting for government AI deployments. Human expert review with security clearance for sensitive mission applications.