Deepchecks
Deepchecks, founded in 2019 and based in Tel Aviv, Israel, developed an open-source testing framework for machine learning models and large language models.
Profile
Deepchecks provides an open-source testing framework for continuously validating machine learning and large language model performance, data quality, and bias.
Deepchecks, founded in 2019 and based in Tel Aviv, Israel, developed an open-source testing framework for machine learning models and large language models. The company was acquired by Check Point Software Technologies in May 2026 for $15 million, becoming an operating subsidiary. Prior to the acquisition, Deepchecks had raised a $14 million seed round in June 2023 from investors including Amdocs and others, and had participated in an accelerator program in 2020.
The company employed 31 people as of the acquisition. Deepchecks' open-source GitHub repository has accumulated over 4,000 stars and 299 forks, with over 1,500 commits as of late 2025. The company's product portfolio centered on continuous validation and monitoring of ML model performance, data integrity, and bias detection, with specific checks for vision and NLP models.
Check Point's acquisition rationale was to integrate Deepchecks' validation capabilities into its broader cybersecurity portfolio, particularly as AI-driven threats increase. The $15 million acquisition price reflects a modest exit for a venture-backed startup in a competitive AI validation market. Deepchecks' technology is now being folded into Check Point's security offerings, with the goal of providing enterprise customers with tools to validate AI model behavior and detect anomalies that could indicate security breaches or data poisoning. The company's customer base prior to acquisition was not publicly disclosed, but its open-source community suggests adoption among data science teams and ML engineers.
Who buys this
- Data science and ML engineering teams building production AI systems
- Enterprises deploying large language models in customer-facing applications
- Organizations requiring compliance and bias monitoring for regulated AI use cases
- Cybersecurity teams integrating AI validation into security pipelines (post-acquisition)
Strengths and what to watch
Strengths
- Open-source framework with 4,000+ GitHub stars and active community contributions, indicating developer trust and adoption
- Acquired by Check Point Software Technologies, a publicly traded cybersecurity firm with $668 million in quarterly revenue, providing distribution and resources
- Addresses a growing market need for AI model validation as enterprises deploy LLMs and face regulatory scrutiny
Watch for
- Acquisition for $15 million is a modest sum relative to the $14 million seed round, suggesting limited venture-scale returns for early investors
- Integration into Check Point's portfolio may shift product focus away from open-source community toward proprietary security use cases, potentially alienating the developer base
- No publicly disclosed customer names or revenue figures prior to acquisition, making it difficult to assess commercial traction independent of the open-source community
Recent moves
Key Information
- Industry
- MLOps & AI Infra
- Founded
- 2019
- Headquarters
- Tel Aviv, Israel
Frequently Asked Questions
What is Deepchecks?
Deepchecks is an open-source testing framework for continuously validating machine learning and large language model performance, data quality, and bias. Founded in 2019 and based in Tel Aviv, it was acquired by Check Point Software Technologies in May 2026.
How does Deepchecks validate ML models?
Deepchecks provides continuous validation and monitoring of ML model performance, data integrity, and bias detection. It includes specific checks for vision and NLP models, helping data science teams ensure reliability in production AI systems.
Why did Check Point acquire Deepchecks?
Check Point acquired Deepchecks to integrate its validation capabilities into its cybersecurity portfolio, particularly as AI-driven threats increase. The goal is to provide enterprise customers with tools to validate AI model behavior and detect anomalies indicating security breaches or data poisoning.
What was Deepchecks' acquisition price and funding history?
Deepchecks was acquired by Check Point in May 2026 for $15 million. Prior to that, it raised a $14 million seed round in June 2023 from investors including Amdocs. The acquisition price is modest relative to the seed round, suggesting limited venture-scale returns.
Who uses Deepchecks for AI validation?
Deepchecks is used by data science and ML engineering teams building production AI systems, enterprises deploying LLMs in customer-facing applications, and organizations requiring compliance and bias monitoring for regulated AI use cases. Its open-source community has over 4,000 GitHub stars.
What happened to Deepchecks after the Check Point acquisition?
Deepchecks became an operating subsidiary of Check Point. Its technology is being folded into Check Point's security offerings, focusing on AI validation for cybersecurity. This may shift product focus away from the open-source community toward proprietary security use cases.
Sources
- github.com — Open-source repository with 4,000 stars, 299 forks, and 1,504 commits as of November 2025
- pitchbook.com — Company founded in 2019, acquired by Check Point in May 2026 for $15M, 31 employees, Tel Aviv HQ
- techcrunch.com — Deepchecks raised $14M seed round in June 2023
- www.checkpoint.com — Check Point Q1 2026 revenue of $668 million, confirming parent company financials