Experiment
Evaluate
Optimize
Evaluation Framework
Build evaluations your way
Mix RAG evals, LLM-as-a-judge, and Python-based logic to create a flexible evaluation framework that fits your AI products, not the other way around.
Python evals
RAG evals
LLM-as-a-Judge
Agent evals
Regression Testing
Prompt experiments
Model experiments
Experimentation
Test every change with confidence
Run experiments, catch regressions early, and validate updates so every release is a reliable step forward.
Agent Performance Evaluation
Evaluate agents at every step
Measure reasoning, decision quality, and multi-step behavior to keep autonomous agents aligned, predictable, and high-performing.
Agent evals
Agent quality
Tool use
Annotations
Human reviews
Feedback
Human evaluation
Bring humans into the loop effortlessly
Route responses to reviewers, collect annotations at scale, and combine human judgement with automated evals for higher accuracy.
Datasets
Keep your evaluation data organized and traceable
Version datasets, track lineage, and ensure every test is reproducible, no more guessing which data powered which result.
Versioning
Golden datasets
Dataset lineage
PII Detection
Compliance
Policy enforcement
Guardrails
Enforce safety and compliance automatically
Add guardrails that block unsafe outputs in production, enforce policies, and keep your AI aligned with organizational and regulatory standards.
Observability
Analytics
Drift detection
Evaluation Dashboards
See how your AI performs in real time
Monitor quality, drift, latency, and costs from one clear dashboard. Turn evaluation data into actionable insights instantly.
Ready-to-use
Plug & play
Extensible
Evaluator Library
Start fast with out-of-the-box evaluators
Use prebuilt evaluators for relevance, correctness, toxicity, groundedness, and more or extend the hub with your own.
Platform Solutions
Discover more solutions to build reliable AI products
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Assurance
Compliance & data protection
Orq.ai is SOC 2-certified, GDPR-compliant, and aligned with the EU AI Act. Designed to help teams navigate risk and build responsibly.
Flexibility
Multiple deployment options
Run in the cloud, inside your VPC, or fully on-premise. Choose the model hosting setup that fits your security requirements.
Enterprise ready
Access controls & data privacy
Define custom permissions with role-based access control. Use built-in PII and response masking to protect sensitive data.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
