Description
Chirpz AI is an applied AI lab focused on agent engineering, building the tools and infrastructure that make AI agents reliable, observable, and production-ready. The lab both builds products and publishes research, with the two feeding each other. Its thesis is that AI agents are the next paradigm of software but that engineering tooling has not caught up: agents fail in unexpected ways at unexpected times, and because they differ from both traditional software and standalone LLMs, they need a new set of tools for tracing, evaluation, and monitoring.
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The lab's product is PandaProbe, an open-source agent engineering platform that provides traces, evals, and monitoring so teams can debug, evaluate, and improve AI agents in production. Chirpz AI positions PandaProbe as its response to the gap between prototype and production, with every feature driven by research and grounded in science. It was made open source from day one on the principle that transparency is a foundation rather than a feature.
Chirpz AI was founded by Sina Tayebati, Founder and CEO, who holds a PhD in Computer Engineering specializing in uncertainty and robustness in AI. The team describes itself as patient and fast-shipping, measuring success by whether agents built on its tools fail less and matter more.
- CategoryMLOps & Model Deployment
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Chirpz AI's Core Features
PandaProbe, an open-source agent engineering platform
Tracing for AI agents to see how they behave in production
Evaluations (evals) to assess agent quality
Monitoring to catch failures and regressions
Debug and improve AI agents running in production
Open-source and transparent from day one
Research-driven features grounded in science
How to use Chirpz AI?
Explore the lab: Review Chirpz AI's thesis on agent engineering and its focus on agent observability.
Check out PandaProbe: Open the open-source PandaProbe platform for traces, evals, and monitoring.
Instrument your agents: Use PandaProbe to trace and monitor AI agents in production.
Evaluate and improve: Run evaluations and use the monitoring data to debug and improve your agents.
Chirpz AI's Use Cases
- Agent observability
- Agent evaluation
- Production monitoring
- Prototype-to-production
