Sematic Raises $3M in Seed Funding

sematic

Sematic, a San Francisco, CA-based provider of an open-source continuous machine learning (ML) platform, raised $3M in Seed funding.

The round was led by Race Capital with participation from Y Combinator, Soma Capital, Leonis Capital, Pioneer Fund, Brandon Leonardo, and Jeremy Stanley.

The company intends to use the funds to accelerate its hiring process, launch its hosted cloud offering and continue to attract more developers to its machine learning platform. 

Founded by Emmanuel Turlay, a founding member of Cruise’s ML Infrastructure team, Sematic is a company providing an open-source continuous machine learning platform that enables any company to develop automated ML training pipelines in days. It offers a lightweight, open-source ML and Data Science pipeline development and execution framework with an easy onboarding experience. Machine learning engineers can use native Python to develop and run arbitrary end-to-end pipelines that track and version all assets and artifacts (models, datasets, plots, metrics, code, etc.), and visualize them in an easy to use, comprehensive user interface.

Companies can use Sematic to scale up their machine learning teams and focus on training new models instead of worrying about maintaining the infrastructure needed for automation. 

Since its launch in August 2022, Sematic has already closed commercial customers such as Voxel, an AI-powered workplace safety platform, and has gained significant adoption from the open-source community.

FinSMEs

17/11/2022