Israel’s TEL AVIV, June 15, 2023 -With cooperation from Hetz Ventures and Grove Ventures, Deepchecks announced the general release of its tool for continuous machine learning validation and the receipt of $14 million in seed funding from Alpha Wave Ventures.
Machine learning is revolutionizing society and generating enormous value. At a CAGR of 36%, the market is anticipated to increase from $26 billion in 2023 to $226 billion in 2030. However, just 50% of machine learning models are used in production, and those that are frequently run over schedule, over budget, or fail miserably. To put it another way, most machine learning models could be improved.
Machine learning has evolved from lengthy research projects to something businesses now anticipate regularly using in software-like development cycles. Creating procedures and tools to support on-time and high-quality project delivery required decades under the traditional software development model. Just two months were needed for ChatGPT to reach 100 million users. However, machine learning is less secure and predictable since it has more moving parts and needs to be more transparent.
Machine learning will advance by applying testing and validation while learning from software. From development to deployment and operation in production, Deepchecks enables practitioners, developers, and other stakeholders to move beyond MLOps and gain visibility and confidence along the way.
“Software that has not been extensively and methodically tested before being deployed and monitored makes little sense. But with current machine learning applications, this is what takes place. According to Philip Tannor, co-founder and CEO of Deepchecks, “Deepchecks introduces a new approach to MLOps, strengthening models by adding validation to every stage of the machine learning lifecycle.
Shir Chorev, co-founder and CTO of Deepchecks, stated that the company “introduces a community-driven MLOps framework that enables people from data scientists and developers to C-level executives to have a clear picture of how machine learning applications behave from research to production.”
“People who are just starting their careers are frequently given quality assurance assignments. But machine learning often leaves this to the most experienced and well-paid group member. Because QA hasn’t yet been systematised for machine learning, unlike other areas, it is still considered a dark art. In order to address this, Deepchecks is here, advancing machine learning and enterprises, according to Yuval Rozio, Director of Alpha Wave Ventures.
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