Co-founder & CEO
Profile summary: BS in Electrical and Computer Engineering at Carnegie Mellon University

The startup offers a software platform that enables users to ingest data and rapidly build, iterate, and deploy production-ready applications utilizing large language models. Its AI tool assists in debugging code and connecting to data sources, significantly reducing the time required to launch functional applications.
Raised to date
$1.6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round



$1.6M · Seed
Announced Jan 2023
Disclosed cumulative: $1.6M
Organizations face challenges in managing and accessing a diverse range of large language models (LLMs) from different providers. This complexity leads to increased overhead in model integration, cost tracking, and ensuring consistent performance across various LLMs.
LiteLLM offers an LLM gateway and an OpenAI-compatible API that simplifies model access, spend tracking, and fallbacks across over 100 LLMs. The platform provides tools to control model access, track spending, and set budget limits across models, keys, and teams. It enables developers to easily migrate projects to the proxy via pass-through endpoints with built-in spend tracking and logging.
The primary audience includes platform teams and developers who need a unified interface to access multiple LLMs, track LLM usage, and set up guardrails.