Israeli startup, Deepchecks, a company that provides an open-source solution for continuous validation of machine learning (ML) models and datasets, today announced the general availability of its product and the closing of a $14 million seed funding round led by Alpha Wave Ventures with participation from Hetz Ventures and Grove Ventures.
The funding will be used to accelerate the development of Deepchecks’ product, expand its sales and marketing efforts, and grow its team.
The company was founded by Philip Tannor (CEO) and Shir Chorev (CTO), friends from the Israeli military, where they worked on machine learning.
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“Machine learning is taking the world by storm, but it’s also creating many problems,” said Philip Tannor, co-founder and CEO of Deepchecks. “Only half of the ML models make it to production, and the ones that do often end up being over time and budget or failing in spectacular ways. Deepchecks is here to solve this problem by providing a comprehensive solution for continuously validating ML models and datasets.”
Deepchecks’ solution is based on “continuous validation,” meaning that ML models are constantly tested and validated throughout the development lifecycle. This helps ensure that ML models are accurate, reliable, and safe.
Deepchecks’ solution includes some features that make it a powerful tool for the continuous validation of ML models and datasets. These features include:
- A library of pre-built checks can be used to test ML models and datasets for various issues, such as accuracy, bias, and fairness.
- A user-friendly interface that makes it easy to configure and run checks.
- A reporting system that provides detailed insights into the results of checks.
Several leading companies, including AWS, Booking.com, and Wix, are already using Deepchecks. The company is also used in highly regulated industries such as finance and healthcare.
“We’re excited to partner with Deepchecks to help them bring their innovative solution to market,” said Yuval Rozio, Director of Alpha Wave Ventures. “Deepchecks is addressing a critical need in the ML space, and we believe they have the potential to revolutionize the way ML models are developed and deployed.”
Deepchecks is a graduate of Intel Ignite, Intel’s accelerator program for early-stage startups. The company is headquartered in Tel Aviv, Israel.
