Data Readiness
Before connecting AI to your enterprise data, discover sensitive information, map PII exposure, and define secure access controls.
Workflow Value
Deploying an enterprise RAG system or connecting an LLM to your internal file shares (SharePoint, S3) without knowing what's inside them can lead to massive data leakage, privilege escalation, and compliance failures.
We deploy Pelestra, our data readiness engine, directly into your infrastructure via Docker. It connects to PostgreSQL, S3, Azure Blob, and file shares via read-only APIs. Your data is scanned in memory and never leaves your environment.
Basic regex scanners produce massive false positives. We use a 3-tier approach: Pattern matching, NLP-based Named Entity Recognition (NER), and Exact Data Match. It reads column headers and surrounding sentences to accurately identify SSNs, financials, and IP.
We generate board-ready reports highlighting specific exposure vectors, mapping data lineage (how sensitive data moves between systems), and providing strict access-control recommendations before AI integration.
FAQ
It is a systematic evaluation of your enterprise data to identify sensitive information, assess current access controls, and determine what data is safe to expose to AI models.
No. We deploy scanning tools within your environment (in-place scanning) so your data never leaves your infrastructure.
Automate your document-heavy workflows securely.