Domino Labs, a San Francisco, CA-based developer of a platform for data scientists to facilitate collaborative, reproducible, reusable research, raised a Series A financing round of undisclosed amount.
The round was led by Zetta Venture Partners with participation from Bloomberg Beta and In-Q-Tel.
The company intends to use the funds fro product development, hiring engineers, data scientists, and sales executives.
Led by Matthew Granade, Chris Yang and Nick Elprin, Domino allows data scientists to parallelize, reproduce, and share analytical experiments. It allows users to run multiple analyses in parallel and the product automatically tracks each one, keeping a record of code, data, and results. They can also turn analyses into self-service web forms that non-technical stakeholders can use to re-run models or re-generate reports and deploy R or Python code as REST APIs. The platform also features integration tools with other software systems and deploy changes with no IT/Engineering involvement.
Domino hosts models centrally and makes results available through the web, or email notifications.
The company currently has 40+ customers and pilots, at various stages, including a dozen Fortune 500 companies.