
Deepchecks
Open-source Python library for validating ML models and data, ensuring reliability and quality.
About
Deepchecks provides an open-source Python library designed for data scientists and ML engineers to validate machine learning models and data. It offers extensive test suites to identify potential issues in data quality, model performance, and robustness, helping to ensure the reliability and production-readiness of ML systems.
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Key facts
- Website
- deepchecks.com
- Headquarters
- Tel Aviv, Israel
- Founded
- 2019
- Employees
- 32
- Total funding
- $18M (Seed)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 15 Jun 2023 | Seed | $14M | Hetz Ventures, Grove Ventures, Alpha Wave Ventures |
| 1 Dec 2019 | Seed | $4M |
Tech stack
Detected on deepchecks.com, last scanned 24 May 2026. Run your own scan
- Hosting
- Google Cloud
- Email provider
- Google Workspace
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Frequently asked
Is Deepchecks trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Deepchecks is 65 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Deepchecks raised?
Deepchecks has raised a total of $18M in funding. The most recent round on record is Seed.
How many employees does Deepchecks have?
Deepchecks has approximately 32 people on record.
What is Deepchecks's current status?
Deepchecks's current operating status is: Inactive.
SEC filings, insider activity, nonprofit links and pay benchmarks for Deepchecks:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


