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Deepchecks
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Deepchecks

https://www.deepchecks.com/
Last activity: 05.03.2026
Active
Categories: AIAutomationMLOpsSaaSTesting
We arm organizations with tools to check and monitor their machine-learning-based systems
Likes
38
Website visits
111.3K /mo.
Mentions
12
Persons
10
Location: United States
Employees: 11-50
Total raised: $14M
Founded date: 2019
Founders name: Shir Chorev; Philip Tannor

Investors 2

Funding Rounds 1

DateSeriesAmountInvestors
16.06.2023Seed$14MHetz Ventu...

Persons 10

DateFirst NameLast NameTitleLinkedInLocation
-OzEliasProduct Ma...linkedin.c...-
-DaniAvitzFractional...linkedin.c...-
-MatanPerlmutterSoftware E...linkedin.c...-
-ShirChorevCo-Founder...linkedin.c...-
-YaronZakai-OrVP Productlinkedin.c...-
-PhilipTannorCo-Founder...linkedin.c...-
-ItayGabbay-linkedin.c...-
-DivyChaurasiaOpen Sourc...linkedin.c...-
-YanivShaniVP of Engi...linkedin.c...-
-NoamBressler-linkedin.c...-

Mentions in press and media 12

DateTitleDescription
05.03.2026Monitoring AI App Usage and Performance Across the BrowserShare Share Share Share Email AI-powered browser applications differ fundamentally from traditional web apps. They stream tokens, run local models, and introduce new failure modes. Effective monitoring must shift from page loads to real-tim...
08.01.2026The Best 9 LLM Evaluation Tools of 2026Share Share Share Share Email LLMs have become production infrastructure across customer support, developer enablement, knowledge management, internal copilots, and revenue-driving workflows. That shift comes with a hard truth: an LLM syste...
26.11.2024Как ухватить LLM за хвост: эффективные стратегии тестирования AI-моделейКак убедиться, что ваша LLM не выдаст полную чепуху в самый неподходящий момент? Как проверить, что она действительно понимает контекст, а не просто генерирует красивые, но бессмысленные фразы? И самое главное — как сделать это эффективно, ...
28.09.2023The hot new thing: AI platforms that stop AI’s mistakes before productionIf you haven’t noticed, a growing amount of code that’s being generated today is “AI-assisted.” In fact, Scott Guthrie, Microsoft’s executive vice president of Cloud and AI, estimated back in March that upwards of 40% of the code that devel...
16.06.2023Israel-based machine learning startup Deepchecks raises USD 14 million in seed fundingIsrael’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 Al...
15.06.2023Deepchecks snags $14M seed to continuously validate ML modelsAs companies increasingly rely on machine learning models, it’s imperative that they continuously check the models to make sure they are working as intended and that the data is valid, unbiased and not corrupted in any way. Deepchecks, an I...
15.06.2023Deepchecks raises funding and launches open source validation platform for ML modelsJoin top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More Machine Learning Operations (MLOps) company Deepchecks today announced the release of its open-sou...
15.06.2023Deepchecks Raises $14M in Seed FundingDeepchecks, a Tel Aviv, Israel-based provider of a platform for continuous machine learning validation, raised $14m in Seed funding. The round was led Alpha Wave Ventures with participation from Hetz Ventures and Grove Ventures. The company...
15.06.2023Deepchecks raises $14M to validate machine learning models continuously Your vote of support is important to us and it helps us keep the content FREE. One-click below supports our mission to provide...Continuous machine learning validation startup Deepchecks Ltd. has made its platform generally available today after closing on a $14 million seed funding round. The round was led by Alpha Wave and included participation from Hetz Ventures ...
21.10.2022A cheat sheet to the best practices for data preparation for machine learningImage: conceptcafe/Adobe Stock Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can make good use ...
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