TensorZero
Category: AI Infrastructure
An open-source stack for building, observing, and optimizing industrial-grade LLM applications. TensorZero was founded in 2024. The company is led by Gabriel Bianconi. Based in New York, USA. Team size: 2-10. Total funding raised: $7.3 Million. Latest round: Seed, 2025-08, led by FirstMark. Key investors include FirstMark, Bessemer Venture Partners, Bedrock, DRW, Coalition.
- Founded
- 2024
- Headquarters
- New York, USA
- Team size
- 2-10
- Total funding
- $7.3 Million
Value proposition
To provide a unified, open-source platform that creates a data and learning flywheel, turning production data and feedback into smarter, faster, and cheaper LLM-powered applications.
Products and solutions
LLM Gateway, Observability, Optimization, Evaluation, Experimentation
Unique value
TensorZero's uniqueness lies in its unified, open-source approach to the entire LLMOps stack. It creates a 'data and learning flywheel' that enables a continuous feedback loop for optimizing LLM applications from production data and user feedback.
Target customer
Enterprises and developers building robust, production-ready LLM applications that require optimization for performance and cost.
Industries served
Technology, Software Development, AI/ML
Technology advantage
The primary business advantage is its open-source nature, which fosters community adoption and transparency. The key technological advantage is the unified platform that simplifies the complex process of managing and optimizing LLM applications, coupled with a high-performance architecture built with Rust.
How they differentiate
TensorZero differentiates itself by offering a unified, open-source stack that integrates an LLM gateway, observability, optimization, evaluation, and experimentation. This creates a continuous feedback loop to improve LLM applications, with a focus on making them more efficient and cost-effective.
Main competitors
LangSmith, Arize AI, Weights & Biases
Key partnerships
FirstMark, Bessemer Venture Partners, Bedrock
Notable customers
Not publicly available.
Major milestones
Secured $7.3M in seed funding., Launched their unified, open-source stack for LLM applications on GitHub.
Growth metrics
Not publicly available.
Market positioning
Positioned as an 'industrial-grade' infrastructure provider for building robust, production-ready LLM applications, moving beyond the prototype stage. Its open-source nature appeals to developers seeking control and flexibility.
Geographic focus
Primarily North America, given its base in New York and US-based investors.
Patents and IP
Information not publicly available.
About Gabriel Bianconi
Previously Chief Product Officer at Ondo Finance, where he helped launch the first tokenized US Treasury (OUSG) and designed the on-chain lending protocol Flux. Also worked as a machine learning and data science consultant.
Official website: https://www.tensorzero.com/