Ship AI Agents
with Trust
Empower Product and Engineering teams to deploy with confidence
We solve the trust problem. Build evaluation systems that prove your AI agents do exactly what you want—before and after production.
Evaluation Services
Comprehensive testing and monitoring for AI agents
RAG Evaluation
Comprehensive evaluation for retrieval systems. Context relevance, answer quality, faithfulness, and retrieval precision metrics. Built on open-source Ragas framework.
Production Monitoring
Real-time evaluation in production. Track agent performance, detect regressions, and identify failure patterns automatically. Continuous trust validation.
Agent Testing
Automated test suites for agentic systems. Measure accuracy, reliability, and safety across diverse scenarios before production. Ship with confidence.
Portfolio
Open-source contributions and production systems
Ragas
Open Source RAG Evals LLM TestingCore contributor to Ragas, the leading open-source framework for evaluating RAG systems. Automated metrics for faithfulness, relevance, and answer quality used by thousands of teams.
Amplifai
Analytics Phoenix Multi-tenantProduction observability platform for AI agents. Real-time issue detection, semantic search over conversations, and automated classification. Powers agent evaluation at scale.
Enterprise Evaluation Suite
Custom Evals Safety CI/CDEnd-to-end evaluation framework for customer service agents. Automated testing, red teaming, and continuous monitoring. Reduced production incidents by 70%.
Built by Evaluation Experts
Deep expertise in agent testing and RAG evaluation
Nirant Kasliwal
Founder & Evaluation Expert
Core contributor to Ragas, the leading RAG evaluation framework. Specializes in building evaluation systems for AI agents, with expertise in LLM testing, observability, and production monitoring.
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