Deepchecks
Open-source Python library for validating ML models and data, ensuring reliability and quality.
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What does Deepchecks do?
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.
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, Developer Tools.
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.