Datascreen
Review AI training and evaluation data wherever it lives, surfacing issues before datasets reach model workflows.
About
Technology stack
detected 2026-06-20No comments yet. Be the first to share your take.
What does Datascreen do?
Datascreen offers an AI data integrity platform that reviews AI training and evaluation data wherever it resides, including file uploads, source links, and storage exports. It surfaces data issues, preserves source context, and creates review records to ensure data quality before datasets enter AI workflows. The platform serves data and platform teams by providing a structured way to inspect data for various AI use cases like training data integrity and eval set leakage.
How much funding has Datascreen raised?
Datascreen has raised a total of $10M in funding. The most recent round on record is Seed.
Where is Datascreen headquartered?
Datascreen is headquartered in San Francisco, United States.
When was Datascreen founded?
Datascreen was founded in 2022.
What industry does Datascreen operate in?
Datascreen operates in MLOps, DataOps, AI Observability, AI Testing, Synthetic Data Generation, Data Platform.