Healthcare & Life Sciences

Clean patient data.
Zero PII exposure.

Healthcare data is messy, but compliance is non-negotiable. In Local Mode, RTIO never sends raw data to LLMs or cloud servers. The AI inspects column metadata locally to suggest deterministic rules. You protect sensitive PHI while automating clinical data preparation.

Uncompromising compliance and accuracy.

Build longitudinal patient records correctly.

Zero Cloud Raw Egress

In Local Mode, raw patient records never leave your browser tab. Physical zero egress guarantees sensitive PHI stays within your perimeter.

Patient Deduplication

Resolve duplicate patient IDs across EHR extracts using our client-side entity resolution and PII scanner. "J. Doe" and "John Doe" clustered safely.

Cryptographic Audit Trail

Every normalization step generates an immutable SHA-256 verifiable hash, guaranteeing mathematical reproducibility for FDA filings or compliance checks.

From raw patient records to analysis-ready data

A secure, auditable workflow from upload to export.

1

Upload patient records

Drop CSV/Excel files. In Local Mode, data is processed in browser memory (DuckDB-WASM & OPFS) with zero cloud network transit.

2

AI detects quality issues

26+ issue types detected: duplicate patients, missing fields, date inversions, format inconsistencies. AI reads metadata only.

3

Review and approve

Every cleaning rule requires your explicit approval. See before/after previews before any change is applied.

4

Export clean data

Download analysis-ready datasets with full audit trail. Every transformation logged for compliance documentation.

Compliance by architecture, not by promise.

Built-in safeguards at every layer.

Zero Raw Data Egress

AI operates on statistical metadata (column types, null ratios, distributions). Raw patient data never leaves your browser tab in Local Mode.

Full Audit Trail

Every operation logged with before/after hashes, timestamps, and user attribution to support HIPAA and SOC2 compliance documentation.

Client-Side PII Masking

Built-in entropy scanner flags and masks SSNs, medical IDs, and names locally before data can be shared or exported.

Differential Privacy

Inject mathematical Laplace noise into statistical summaries to prevent re-identification while preserving analytic utility.

Clean patient data safely.

Privacy-first architecture with zero raw data egress and automated PII masking. Full audit trail for every operation.