OctoML is a Washington-based startup that offers an acceleration platform for deploying machine learning models and algorithms on the hardware. This platform primarily helps the engineering teams deploy the machine learning models seamlessly and with increased accuracy. The platform is built on an open-source Apache TVM compiler framework project.
In the recent Series B funding rounds, OctoML raised $28 million, which takes the company’s total capital to around $47 million. The funds raised will be utilized to up the machinery of the organization, build a customer success team and expand the engineering team further to develop and include new features on the platform.