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TensorZero nabs $7.3M seed to solve the messy world of enterprise LLM development
TensorZero raises $7.3 million to build an open-source AI infrastructure stack that helps enterprises scale and optimize large language model (LLM) applications with unified tools for observability, fine-tuning, and experimentation.
“Despite all the noise in the industry, companies building LLM applications still lack the right tools to meet complex cognitive and infrastructure needs, and resort to stitching together whatever early solutions are available on the market,” said Matt Turck, General Partner at FirstMark, who led the investment. Traditional approaches to building LLM applications require companies to integrate numerous specialized tools from different vendors — model gateways, observability platforms, evaluation frameworks, and fine-tuning services. Unlike traditional observability tools that store raw text inputs and outputs, TensorZero maintains structured data about the variables that go into each inference, making it easier to retrain models and experiment with different approaches.
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