Define before production
Clarify labels, boundaries, exceptions, correction, and acceptance rules before scale.
Quality & Security
Verifiable quality. Protected customer data.
KeenTruth embeds quality standards throughout specification, pilot, production, review, correction, and acceptance—and protects customer data through project-level controls.
01
Quality principles
Measure process and outcomes
Track throughput, correction, issue distribution, batch quality, and acceptance.
Intelligent checks + expert judgment
Models and rules find risk; experts resolve complex cases and own final quality.
Close every loop
Issues are located, returned, corrected, rechecked, and reflected in guidelines.
02
Quality metrics
- Accuracy, omissions, and false positives
- Action-boundary deviation and label consistency
- Correction and sampling pass rates
- First-pass acceptance
- High-frequency errors and batch variation
03
Data security commitment
Customer data is used only for the agreed project. It is not disclosed to unauthorized third parties, reused for other customers, or used for unrelated purposes.
- Project-level isolation
- Least-privilege access
- Access and operation records
- Personnel confidentiality
- Agreed retention, deletion, and access revocation
FAQ
Frequently asked questions
Is customer data used for other projects or model training?
No. Customer data is used only within the agreed project scope.
Is data from different customers mixed together?
No. Data, tasks, and personnel permissions are isolated by project.
What happens after a project ends?
Access is revoked, and data is retained or deleted according to agreed terms.
Can KeenTruth support a security review?
Yes. Specific requirements can be discussed under appropriate confidentiality terms.
Contact
Move raw embodied data into training faster.
Tell us about your data, annotation requirements, and quality expectations.