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TensorZero Autopilot is an automated AI engineer that analyzes LLM observability data, optimizes prompts and models, sets up evals, and runs A/B tests.
It's powered by the TensorZero Stack, an open-source LLMOps platform that unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

TensorZero is used by companies ranging from frontier AI startups to the Fortune 50.


What is TensorZero Autopilot?

TensorZero Autopilot collaborates with engineering teams to automate LLM engineering, with full visibility and control. Think of it like Claude Code for LLM engineering.

For example, it can:

TensorZero Autopilot has achieved substantial performance improvements in use cases ranging from data extraction to customer support agents.

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What is the TensorZero Stack?

TensorZero Stack is an 10.7Kopen-source LLMOps platform that unifies:

You can take what you need, adopt incrementally, and complement with other tools. It plays nicely with the OpenAI SDK, OpenTelemetry, and every major LLM.

Our Quick Start shows how to set up a production-ready LLM application with observability and fine-tuning in just 5 minutes.

How can I ask questions or share feedback?

Reach out on Slack, Discord, or GitHub. Alternatively, send us an email.

Who is building TensorZero?

Our technical team includes a former Rust compiler maintainer, machine learning researchers (Stanford, CMU, Oxford, Columbia) with thousands of citations, a staff SWE that built LLM infrastructure for Google Search, and the chief product officer of a decacorn startup.

We’re backed by FirstMark, Bessemer, Bedrock, and dozens of angels. See our $7.3M seed round announcement and coverage from VentureBeat.

We’re also hiring in NYC.