Superwise.ai Raises $4.5M in Seed Funding

November 26, 2020
March 10, 2020
January 19, 2021

Superwise.ai, a Tel Aviv, Israel-based provider of an AI Assurance platform, secured $4.5m in seed funding.

The round was led by Capri Ventures and F2 Capital.

The company intends to use the funds to further expand its presence in the U.S., with plans to hire talent that will work closely with customers and open offices in both New York City and the Bay Area later this year.

Led by Ofer Razon, co-founder and CEO, Superwise.ai provides a SaaS platform that allows business and operational teams to take ownership of the health of AI models, giving them the ability to completely trust the operation and conclusions of their AI-driven processes. The system includes performance management, bias detection, explainability and AI analytics capabilities. It gives business leaders a direct view into what’s happening in their AI models and why, and also offers proactive actions and recommendations to optimize the model’s behavior for better performance and outcomes. By handling issues in real-time, the platform allows the business and operational teams to own the ongoing performance of the models, reducing their dependency on the data science team who can then focus on new initiatives.

The solution integrates into whatever AI platform is already in use, including AWS SageMaker, Google AI Platform, Azure Machine Learning, Kubeflow, H20.ai and custom-built platforms.

It is already being used by several customers.

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January 19, 2021

Superwise.ai, a Tel Aviv, Israel-based provider of an AI Assurance platform, secured $4.5m in seed funding.

The round was led by Capri Ventures and F2 Capital.

The company intends to use the funds to further expand its presence in the U.S., with plans to hire talent that will work closely with customers and open offices in both New York City and the Bay Area later this year.

Led by Ofer Razon, co-founder and CEO, Superwise.ai provides a SaaS platform that allows business and operational teams to take ownership of the health of AI models, giving them the ability to completely trust the operation and conclusions of their AI-driven processes. The system includes performance management, bias detection, explainability and AI analytics capabilities. It gives business leaders a direct view into what’s happening in their AI models and why, and also offers proactive actions and recommendations to optimize the model’s behavior for better performance and outcomes. By handling issues in real-time, the platform allows the business and operational teams to own the ongoing performance of the models, reducing their dependency on the data science team who can then focus on new initiatives.

The solution integrates into whatever AI platform is already in use, including AWS SageMaker, Google AI Platform, Azure Machine Learning, Kubeflow, H20.ai and custom-built platforms.

It is already being used by several customers.