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<p><strong>TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.</strong></p>
<p><strong>It’s fully <a href="https://github.com/tensorzero/tensorzero" target="_blank" class="inline-block"><svg width="1.03em" height="1em" viewBox="0 0 98 96" class="inline-block h-[1em] w-[1em]" data-icon="github">  <symbol id="ai:local:github"><path fill="currentColor" fill-rule="evenodd" d="M48.854 0C21.839 0 0 22 0 49.217c0 21.756 13.993 40.172 33.405 46.69 2.427.49 3.316-1.059 3.316-2.362 0-1.141-.08-5.052-.08-9.127-13.59 2.934-16.42-5.867-16.42-5.867-2.184-5.704-5.42-7.17-5.42-7.17-4.448-3.015.324-3.015.324-3.015 4.934.326 7.523 5.052 7.523 5.052 4.367 7.496 11.404 5.378 14.235 4.074.404-3.178 1.699-5.378 3.074-6.6-10.839-1.141-22.243-5.378-22.243-24.283 0-5.378 1.94-9.778 5.014-13.2-.485-1.222-2.184-6.275.486-13.038 0 0 4.125-1.304 13.426 5.052a47 47 0 0 1 12.214-1.63c4.125 0 8.33.571 12.213 1.63 9.302-6.356 13.427-5.052 13.427-5.052 2.67 6.763.97 11.816.485 13.038 3.155 3.422 5.015 7.822 5.015 13.2 0 18.905-11.404 23.06-22.324 24.283 1.78 1.548 3.316 4.481 3.316 9.126 0 6.6-.08 11.897-.08 13.526 0 1.304.89 2.853 3.316 2.364 19.412-6.52 33.405-24.935 33.405-46.691C97.707 22 75.788 0 48.854 0" clip-rule="evenodd"></path></symbol><use xlink:href="#ai:local:github"></use>  </svg> open source</a>.</strong></p>
<ol>
<li>Integrate our model gateway</li>
<li>Send metrics or feedback</li>
<li>Optimize prompts, models, and inference strategies</li>
<li>Watch your LLMs improve over time</li>
</ol>
<p>It provides a <strong>data &amp; learning flywheel for LLMs</strong> by unifying:</p>
<ul class="contains-task-list">
<li class="task-list-item"><input type="checkbox" checked="" disabled=""> <strong>Inference:</strong> one API for all LLMs, with &lt;1ms P99 overhead</li>
<li class="task-list-item"><input type="checkbox" checked="" disabled=""> <strong>Observability:</strong> inference &amp; feedback → your database</li>
<li class="task-list-item"><input type="checkbox" checked="" disabled=""> <strong>Optimization:</strong> from prompts to fine-tuning and RL (&amp; even 🍓? <a href="/docs/gateway/guides/inference-time-optimizations">→</a>)</li>
<li class="task-list-item"><input type="checkbox" checked="" disabled=""> <strong>Experimentation:</strong> built-in A/B testing, routing, fallbacks</li>
</ul>
<p><a href="/docs">Read more →</a></p>
<hr>
<h2 id="who-are-we">Who are we?</h2>
<p>We’re a small technical team based in NYC.</p>
<p><a href="https://virajm.com" target="_blank">Viraj Mehta</a> (CTO) recently completed his PhD from CMU, with an emphasis on reinforcement learning for LLMs and nuclear fusion, and previously worked in machine learning at KKR and a fintech startup; he holds a BS in math and an MS in computer science from Stanford.</p>
<p><a href="https://gabrielbianconi.com" target="_blank">Gabriel Bianconi</a> (CEO) was the chief product officer at Ondo Finance ($14B+ valuation in 2024) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms; he holds BS and MS degrees in computer science from Stanford.</p>
<p><a href="/jobs">Work with us →</a></p>
<hr>
<h2 id="get-started">Get started</h2>
<p><strong>Start building today.</strong>
Check out our <a href="https://github.com/tensorzero/tensorzero" target="_blank" class="inline-block"><svg width="1.03em" height="1em" viewBox="0 0 98 96" class="inline-block h-[1em] w-[1em] relative top-[-0.125em]" data-icon="github">  <use xlink:href="#ai:local:github"></use>  </svg> Github</a>, <a href="/docs/gateway/quickstart">Quick Start</a>, or <a href="/docs/gateway/tutorial">Tutorial</a>.</p>
<p><strong>Questions?</strong>
Ask us on <a href="https://www.tensorzero.com/slack" target="_blank" class="inline-block"><svg width="1em" height="1em" viewBox="0 0 128 128" class="inline-block h-[1em] w-[1em] relative top-[-0.1em]" data-icon="slack">  <symbol id="ai:local:slack"><path fill="currentColor" d="M27.15 80.766c0 7.351-5.994 13.355-13.345 13.355C6.454 94.12.45 88.117.45 80.766s6.004-13.355 13.355-13.355H27.15zm6.73 0c0-7.351 6.003-13.355 13.354-13.355s13.355 6.004 13.355 13.355v33.43c0 7.35-6.004 13.354-13.355 13.354s-13.355-6.004-13.355-13.355v-33.43zM47.234 27.15c-7.351 0-13.355-5.994-13.355-13.345C33.88 6.454 39.883.45 47.234.45s13.355 6.004 13.355 13.355V27.15zm0 6.73c7.351 0 13.355 6.003 13.355 13.354s-6.004 13.355-13.355 13.355h-33.43C6.455 60.589.45 54.585.45 47.234s6.004-13.355 13.355-13.355zm53.616 13.354c0-7.351 5.994-13.355 13.345-13.355s13.355 6.004 13.355 13.355-6.004 13.355-13.355 13.355H100.85zm-6.73 0c0 7.351-6.003 13.355-13.354 13.355s-13.355-6.004-13.355-13.355v-33.43C67.411 6.455 73.415.45 80.766.45s13.355 6.004 13.355 13.355zM80.766 100.85c7.351 0 13.355 5.994 13.355 13.345s-6.004 13.355-13.355 13.355-13.355-6.004-13.355-13.355V100.85zm0-6.73c-7.351 0-13.355-6.003-13.355-13.354s6.004-13.355 13.355-13.355h33.43c7.35 0 13.354 6.004 13.354 13.355s-6.004 13.355-13.355 13.355zm0 0"></path></symbol><use xlink:href="#ai:local:slack"></use>  </svg> Slack</a> or <a href="https://www.tensorzero.com/discord" target="_blank" class="inline-block"><svg width="1.32em" height="1em" viewBox="0 0 127.14 96.36" class="inline-block h-[1em] w-[1em] relative top-[-0.1em]" data-icon="discord">  <symbol id="ai:local:discord"><path fill="currentColor" d="M107.7 8.07A105.2 105.2 0 0 0 81.47 0a72 72 0 0 0-3.36 6.83 97.7 97.7 0 0 0-29.11 0A72 72 0 0 0 45.64 0a106 106 0 0 0-26.25 8.09C2.79 32.65-1.71 56.6.54 80.21a105.7 105.7 0 0 0 32.17 16.15 77.7 77.7 0 0 0 6.89-11.11 68.4 68.4 0 0 1-10.85-5.18c.91-.66 1.8-1.34 2.66-2a75.57 75.57 0 0 0 64.32 0c.87.71 1.76 1.39 2.66 2a68.7 68.7 0 0 1-10.87 5.19 77 77 0 0 0 6.89 11.1 105.3 105.3 0 0 0 32.19-16.14c2.64-27.38-4.51-51.11-18.9-72.15M42.45 65.69C36.18 65.69 31 60 31 53s5-12.74 11.43-12.74S54 46 53.89 53s-5.05 12.69-11.44 12.69m42.24 0C78.41 65.69 73.25 60 73.25 53s5-12.74 11.44-12.74S96.23 46 96.12 53s-5.04 12.69-11.43 12.69"></path></symbol><use xlink:href="#ai:local:discord"></use>  </svg> Discord</a>.</p>
<p><strong>Using TensorZero at work?</strong>
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