Verta is a brand new startup that works on developing software to help data science and ML teams to build and deploy ML models. On the 25th of July, it raised $10 million in a Series A funding round led by Intel Capital and existing investors Green Catalyst, which also led the company’s $1.7 million seed round.
Manasi Vartak, founder and CEO of Verta, envisioned an open-source ModelDB while still doing her doctoral research at MIT to track ML models. After she graduated, she further expanded that idea to build a platform to deploy these models into production as it is challenging and time-consuming to develop production-ready AI models as the tools and processes for these models are new and brittle.
Verta built upon their research at MIT CSAIL on ModelDB to create the Verta MLOps software ecosystem. This software supports model deployment, operations, monitoring, and collaboration enabling data scientists to manage models. It can take a newly developed neural network, and turn it into a software and make it accessible via an application programming interface.
Verta is solving one of the critical challenges that many companies face while adopting AI, which is interrelating data scientists and developers to accelerate machine learning deployment.
According to Verta.ai, many organizations, such as LeadCrunch.ai Inc., are already using their platform in production. According to LeadCrunch, they have cut model deployment times by a factor of 10 since adopting Verta’s product.
Verna.ai is still in its early stages, with around nine employees onboard, and is looking forward to further expanding it.
As we can expect the near future to be revolving around AI and its applications, Verta.ai’s new platform will be beneficial and vital.