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. Teams look it up for MLOps, Observability, Artificial Intelligence.
Frequently asked
What does Deepchecks do?
Deepchecks is a MLOps company that offers Software. Teams look it up for Observability, Artificial Intelligence, AI Testing. It is based in Tel Aviv, Israel and was founded in 2019. Public records show about 32 people and $18M raised. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.
How much funding has Deepchecks raised?
Deepchecks has raised a total of $18M in funding. The most recent round on record is Seed.
Where is Deepchecks headquartered?
Deepchecks is headquartered in Tel Aviv, Israel.
When was Deepchecks founded?
Deepchecks was founded in 2019.
What industry does Deepchecks operate in?
Deepchecks operates in MLOps, Observability, Artificial Intelligence, AI Testing, DataOps.
How many employees does Deepchecks have?
Deepchecks has approximately 32 people on record.
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