
UpTrain offers a full-stack LLMOps platform designed to streamline the entire lifecycle of production AI applications, from evaluation and experimentation to ongoing improvement. The platform provides diverse evaluations with over 20 predefined and custom metrics, enabling faster and systematic experimentation with quantitative scores to eliminate guesswork. Automated regression testing is supported for prompt, config, and code changes, with prompt versioning for easy rollbacks. UpTrain also offers root cause analysis for identifying and fixing issues in LLM applications. Key features include single-line integration, hosting on major cloud providers (AWS, GCP), high-quality evaluations with over 90% agreement with humans, cost efficiency, and scalability to handle millions of responses. The core evaluation framework is open-source. UpTrain caters to both managers seeking oversight of LLM performance and developers looking to build, debug, and improve LLM applications efficiently.

UpTrain offers a full-stack LLMOps platform designed to streamline the entire lifecycle of production AI applications, from evaluation and experimentation to ongoing improvement. The platform provides diverse evaluations with over 20 predefined and custom metrics, enabling faster and systematic experimentation with quantitative scores to eliminate guesswork. Automated regression testing is supported for prompt, config, and code changes, with prompt versioning for easy rollbacks. UpTrain also offers root cause analysis for identifying and fixing issues in LLM applications. Key features include single-line integration, hosting on major cloud providers (AWS, GCP), high-quality evaluations with over 90% agreement with humans, cost efficiency, and scalability to handle millions of responses. The core evaluation framework is open-source. UpTrain caters to both managers seeking oversight of LLM performance and developers looking to build, debug, and improve LLM applications efficiently.
What they do: Open-source, full-stack LLMOps platform for evaluating, testing, and improving production LLM applications.
Founded: 2022
Founders / leadership: Sourabh Agrawal (Co-Founder & CEO); Shikha Mohanty (Co-Founder & CMO); Vipul Gupta (Co-Founder, former CTO)
Funding: YC-backed pre-seed (announced 2023-04-05); Dealroom shows a disclosed $125k seed entry
Key product strengths: 20+ preconfigured evals + custom evals, automated regression testing, root-cause analysis, self-hosted dashboard, integrations with vector DBs and observability tooling.
LLMOps / model observability and evaluation for production generative AI applications
2022
AI/ML
$125,000
“Y Combinator-backed (pre-seed)”