Bring scattered evidence together.
Ingest compliance documents, operational reports, and internal records. Sanitize sensitive fields before routing data to specialized agents.
Unstructured inputs → controlled intake
Private AI. Clearer decisions.
DataSentry is building a private AI workspace for enterprise compliance and finance teams. Turn unstructured records into traceable risk insights without making public AI services part of your data pipeline.
In development · Built around sensitive enterprise workflows
Our founding commitments
The planned workflow
One controlled pipeline for the work that usually lives across spreadsheets, inboxes, and manual checks.
Local language models and offline hardware are central to our architecture. Deployment boundaries, access controls, and data retention will be scoped with each enterprise team.
No blanket security claims. Requirements first.
Ingest compliance documents, operational reports, and internal records. Sanitize sensitive fields before routing data to specialized agents.
Unstructured inputs → controlled intake
Extract entities, normalize fields, and map findings into a structured database. Keep the source attached so reviewers can trace a result back to its evidence.
Agent extraction → structured records
Surface exceptions for review rather than treating every model output as fact. Give compliance and finance teams a focused queue for validation and follow-up.
Risk signals → human review
Plans & deployment
Review available plans below. Private infrastructure, ingestion volume, and enterprise implementation require separate scoping; confirm availability before committing.
For individuals getting started
$0/month
Help shape DataSentry
Join early access and bring one high-friction workflow. Help us define the inputs, privacy boundaries, and review outcomes that matter to your team.
For compliance, finance & data teams.