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:
- Analyze millions of inferences to surface error patterns and optimization opportunities
- Recommend models and inference strategies to improve quality, cost, and latency
- Generate and refine prompts based on human feedback, metrics, and evaluations
- Drive optimization workflows like fine-tuning, reinforcement learning, and distillation
- Set up evaluations, prevent regressions, and align LLM judges to real-world scenarios
- Run A/B tests to validate changes, identify winners, and close the feedback loop
TensorZero Autopilot has achieved substantial performance improvements in use cases ranging from data extraction to customer support agents.
What is the TensorZero Stack?
TensorZero Stack is an 11.1Kopen-source LLMOps platform that unifies:
- Gateway: access every LLM provider through a unified API (<1ms p99 latency)
- Observability: monitor your LLM systems, programmatically or with a UI
- Optimization: optimize your prompts, models, and inference strategies
- Evaluations: benchmark individual inferences or end-to-end workflows
- Experimentation: deploy with built-in A/B testing, fallbacks, etc.
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?
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Aaron Hill: Rust compiler maintainer, OSS contributor (Rust, Lean), Svix, AWS
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Alan Mishler: VP at J.P. Morgan AI Research, CMU PhD (stats), 1.3k+ citations
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Andrew Jesson: Columbia postdoc and Oxford PhD (LLMs), 4k+ citations
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Antoine Toussaint: staff SWE, quant, Stanford math professor, Princeton PhD
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Gabriel Bianconi (CEO): CPO at Ondo Finance (DeFi decacorn), Stanford BS & MS
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Michelle Hui: ML + product + community (Wing / Alphabet, UN), Cornell BS & MS
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Shuyang Li: staff software engineer at Google (LLM infra, search), Palantir
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Simeon Lee: head of design at Merge, senior design engineer in AI and devtools
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Viraj Mehta (CTO): CMU PhD (reinforcement learning), Stanford BS & MS
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.