TensorZero
TensorZero provides an open-source infrastructure stack for building industrial-grade LLM applications, unifying gateway, observability, and optimization functions.
At a Glance
- AI Startups
- Enterprise Software Teams
- FinTech and Security-conscious AI applications
- Open-source AI community
AI Tools by TensorZero
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TensorZero
Open Source LLM Ops Platform
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Latest News
TensorZero Raises $7.3M Seed Round to Build an Open-Source Stack for Industrial-Grade LLM Applications
TensorZero hits #1 trending project on GitHub
CTO Viraj Mehta discusses the 'Feedback Loop for LLM Apps' on The MAD Podcast
Launch of TensorZero Autopilot for automated model optimization
Products & Services
An open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, and optimization workflows.
An automated AI engineering tool designed to optimize LLM performance through fine-tuning and prompt engineering.
Market Position
Positions as a unified, open-source alternative to fragmented tools like LiteLLM (gateway) and LangSmith (observability), with a unique focus on the automated 'feedback loop' for optimization.
Leadership
Founders
Gabriel Bianconi
Co-founder and CEO. Previously Chief Product Officer at Ondo Finance ($1B+ AUM DeFi project). Founded an AI/ML consulting firm. BS in Computer Science from Stanford University.
Viraj Mehta
Co-founder and CTO. PhD in Robotics and Machine Learning from Carnegie Mellon University. Background in sample-efficient reinforcement learning and AI research.
Executive Team
Gabriel Bianconi
CEO & Co-founder
Former CPO at Ondo Finance; Stanford CS graduate.
Viraj Mehta
CTO & Co-founder
CMU Robotics PhD; specialist in reinforcement learning.
Board of Directors
Founding Story
Founded by Gabriel Bianconi and Viraj Mehta to address the lack of robust, unified infrastructure for deploying LLMs in production. They aimed to move beyond 'toy' applications to industrial-grade systems by integrating observability and automated feedback loops.
Business Model
Revenue Model
Open-core model. The core platform is open-source. Monetization is expected via managed cloud services (SaaS) and enterprise-grade support/licenses.
Pricing Tiers
Full access to the TensorZero framework, gateway, and optimization tools via GitHub.
Expected features include managed hosting, advanced security, and enterprise support.
Target Markets
- AI Startups
- Enterprise Software Teams
- FinTech and Security-conscious AI applications
- Open-source AI community
- Industrial-grade LLM application deployment
- Model fine-tuning and prompt engineering at scale
- Real-time LLM observability and evaluation
- Reducing inference costs and latency via routing
- Open-source developers
- Stealth AI startups