
AI Decision Engine for production AI systems
Visit Live ProjectTeams building AI products had no visibility into how their LLM-powered systems performed in production. Debugging agent failures, understanding cost breakdowns across providers like OpenAI, Anthropic, and Gemini, and comparing model efficiency required manual, ad-hoc processes. There was no unified platform to surface actionable insights from AI execution traces.
Built Trackly — a full-stack AI observability platform with an SDK that plugs into any LLM provider. The system auto-ingests execution traces, computes real-time costs using live provider pricing, detects critical paths in agent workflows, and surfaces plain-English insights. Features include run comparison with output diffs, "What-If" model swap analysis, feature-level cost attribution, and smart budget alerts. Supports OpenAI, Anthropic, Gemini, Groq, Ollama, Mistral, and more.
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