Don’t base your work on the wrong dataset.
Don’t base your work on the wrong dataset.
Most datasets look usable — until they fail.
Know before it costs you.
Avoid wasted development time, rework, and regulatory risk.
Most datasets look usable — until they fail.
Know before it costs you.
Avoid wasted development time, rework, and regulatory risk.
Takes 2 minutes · No commitment
Takes 2 minutes · No commitment
Most data problems only show up after you’ve committed
Most data problems only show up after you’ve committed
Most data problems only show up after you’ve committed
Looks usable — until key fields are missing.
Works in testing — fails in production.
Seems valid — until it rejected by regulators.
By the time you discover this, you’ve already lost months.
Looks usable — until key fields are missing.
Works in testing — fails in production.
Seems valid — until it rejected by regulators.
By the time you discover this, you’ve already lost months.
What you’ll know before it costs you
What you’ll know before it costs you
What you’ll know before it costs you
Whether the dataset will actually work for your use case.
Where it will break (completeness, structure, access).
Whether it is usable for AI, research, or regulatory work.
Whether it’s worth pursuing at all.
Whether the dataset will actually work for your use case.
Where it will break (completeness, structure, access).
Whether it is usable for AI, research, or regulatory work.
Whether it’s worth pursuing at all.
What Clearlicity does
What Clearlicity does
Clearlicity identifies candidate datasets, evaluates how well they fit your use case, and returns a structured recommendation on what to pursue, what to avoid, and where risk exists.
Clearlicity identifies candidate datasets, evaluates how well they fit your use case, and returns a structured recommendation on what to pursue, what to avoid, and where risk exists.
See exactly what you get — before you commit
See exactly what you get — before you commit
A structured, decision-ready dataset assessment.
A structured, decision-ready dataset assessment.
Outcomes may include: High fit · Moderate fit · Poor fit (avoid)
Get your dataset assessed
Know if your dataset will hold up.
Incorrect dataset selection may result in wasted development time and rework.
Know if your dataset will hold up.
Incorrect dataset selection may result in wasted development time and rework.
Built by experts in data quality and regulated decision-making
Built by experts in data quality and regulated decision-making