Chaprola Launches First HIPAA-Compliant Data Platform Built for AI Agents
40 policy documents, API-level BAA enforcement, and PHI screening give healthcare AI companies compliant infrastructure in minutes instead of months
Healthcare AI companies building agents that process patient data face a familiar problem: months of compliance engineering before a single record can be stored. Chaprola eliminates that burden entirely. An AI agent can register, sign a Business Associate Agreement, and begin importing protected health information through a HIPAA-compliant API -- all within minutes.
Compliance enforced by architecture, not policy alone
Unlike platforms that bolt on HIPAA compliance as an afterthought, Chaprola enforces it at the infrastructure level.
BAA enforcement at the API layer. Every data endpoint checks for a signed Business Associate Agreement before processing a request. Agents cannot import, export, compile, run, or query data without a signed BAA. This is enforced programmatically by the API Gateway authorizer -- not by documentation or honor system.
PHI screening built into the runtime. Chaprola's NOPHI system tags PHI fields at import time using pattern matching against all 18 HIPAA identifiers defined in 45 CFR Section 164.514(b)(2). The bytecode VM can obfuscate PHI-flagged fields at read time, and all public report execution forces NOPHI mode automatically.
40 HIPAA policy documents. Complete coverage of the HIPAA Security Rule and Privacy Rule, including risk assessment, breach notification plan, workforce security, contingency planning, access control, audit procedures, and 34 additional policies. All written, versioned, and maintained.
Full audit trail. AWS CloudTrail records every S3 data access event. API Gateway access logs and Lambda execution logs are retained for six years. GuardDuty monitors for malicious activity. AWS Config enforces 13 HIPAA compliance rules with automated alerts on non-compliance.
Encryption everywhere. All data encrypted at rest with AWS KMS customer-managed keys with automatic rotation. TLS 1.2+ enforced on all API endpoints via CloudFront. WAF protection with OWASP top-10 rules, IP reputation lists, and rate limiting.
"Healthcare AI teams are spending months building compliance infrastructure before they can write a single line of agent logic. I built compliance into the platform itself so agents can focus on what they're designed to do -- process and analyze data."
-- Charles Letcher, creator of Chaprola
Proven at scale
Chaprola has processed 27 million records (5 GB) in about 200 seconds on a single serverless Lambda invocation. The platform supports importing from JSON, CSV, TSV, NDJSON, Parquet, and Excel files, with optional AI-powered schema inference. A SQL-free query engine provides WHERE filters, JOINs, pivot tables, and aggregation -- all through JSON, no SQL syntax required.
Zero infrastructure
Chaprola runs entirely on AWS Lambda. There are no servers to provision, no databases to manage, no connection pools to configure, and no storage quotas. Users interact through 40 REST endpoints or via the MCP server (available on npm as @chaprola/mcp-server), which gives any MCP-compatible AI agent instant access to the full platform.
About Chaprola
Chaprola is an agent-first data platform that gives AI agents a structured, serverless data store they operate through plain HTTP calls. Originally designed by John H. Letcher as a minicomputer programming language in the 1970s, the 2026 edition was rebuilt from scratch in Rust by Charles Letcher for the age of AI agents. Learn more at chaprola.org. Professional services are available for teams that need accelerated implementation.