Deepset Cloud allows customers to test different LLMs, integrate them into applications, deploy them to end users, and analyze their accuracy while monitoring their performance. The platform also includes components for measuring and mitigating common issues with LLMs. Deepset, which has raised a total of $46 million to date, sees its main competitors as vendors in the MLOps space. The startup has hundreds of customer pipelines running on its platform, including workloads for Siemens and Airbus.
Key takeaways:
- Deepset, a platform for building enterprise apps powered by large language models, has raised $30 million in a funding round led by Balderton Capital, with participation from GV and Harpoon Ventures.
- The funds will be used to expand Deepset’s products and services and increase its team from around 50 people to 70 to 75 by the end of the year.
- Deepset Cloud, an enterprise LLM platform for AI teams, was launched last year, extending the capabilities of Haystack, an open source framework for building NLP back-end services.
- Deepset has "hundreds" of customer pipelines running on its platform, including workloads for Siemens and Airbus, and sees vendors competing in the MLOps space as its main rivals.