AWS Marketplace
ClerkAI De-Identification
Generative-AI PHI de-identification for protected health data — deployable today from AWS Marketplace.
View on AWS Marketplace →AI for regulated, high-stakes environments
Research-grade AI, shipped to production.
Generative Technologies builds AI agents, LLM systems, and custom software for environments where the stakes are real — healthcare data, payer operations, and complex enterprise workflows. Research-grade methods, grounded in machine-learning research and a Caltech partnership, engineered to run in production and built to withstand review.
Research foundation
Grounded in machine-learning research and a Caltech partnership
Auditable by design
Every output traces to a citable source, built for review
Proven with regulators
Fraud, waste & abuse analytics delivered in production with AWS
Built on AWS
Trusted AWS Partner — systems engineered and deployed on AWS
Our references
Trusted in regulated healthcare and the public sector.
How we work
Three commitments that make AI safe to trust with real stakes.
01 / Privacy by design
Build on sensitive data without exposing it
A proprietary synthetic-data approach, developed in partnership with Caltech, makes it possible to build on sensitive data without exposing it.
02 / Auditability
Every decision traces to its source
Outputs are built for environments where they face review. Each determination carries the citations a human reviewer can open and check.
03 / Pragmatic integration
Your stack stays in place
Generative Technologies reads from existing systems and returns structured results. No rip-and-replace — the work fits the workflow already in place.
Bring us the problem other teams turned down. We'll tell you plainly what's feasible, what it will cost, and how we'll prove it works.
97%
Deterministic by design
We make LLMs consistent.
Left to themselves, language models drift. Our approach pairs LLM fact-extraction with a deterministic rules engine, so the same facts produce the same verdict — 97% verdict agreement across independent models, every result traceable to its source.
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Partner Network
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AWS Partner
A trusted AWS Partner.
We design, build, and deploy on AWS — bringing research-grade AI into production with the security, scale, and reliability that regulated environments demand. As a trusted AWS Partner, we take organizations from idea to audited, production-ready systems.
What we build
Products and engagements, one standard of rigor.
From a productized deployment to a custom build, every engagement ships with the same auditability and integration discipline.
Soon on Marketplace
ClerkAI for UAE Medical Documents
De-identification tuned to the formats and language of UAE medical records. Coming soon to AWS Marketplace.
Start a conversation →Claims operations
Payer Email Responder
A human-in-the-loop workflow that integrates with professional mailboxes and your claims database to draft and automate responses to provider inquiries — across every kind of response.
Start a conversation →Payment integrity
FWA Detection Workflow
An end-to-end fraud, waste & abuse detection pipeline on insurance-claim data — surfacing the providers and cases that warrant review, each with a traceable rationale.
Start a conversation →Regulatory intelligence
Policy-to-Workflow Extraction
We turn raw policy documents and your data structures into deterministic, validated workflows. You test and iterate, then we integrate with your systems.
Start a conversation →FHIR · CMS-0057-F
Dual-Codification Engine
Turns coverage-policy PDFs into production-ready Da Vinci DTR CQL, and unstructured records into provenance-tracked FHIR evidence — audit-defensible determinations across prior auth, payment integrity, risk adjustment, and quality.
Start a conversation →Engineering & consulting
Custom AI Systems & Engineering
Custom AI agents, LLM systems and RAG pipelines, computer vision, monitoring dashboards, and full AI pipelines — plus prompt and workflow engineering, MLOps, and process automation.
Start a conversation →Let's talk
Bring us the problem other teams turned down.
We'll tell you plainly what's feasible, what it will cost, and how we'll prove it works — usually within a first conversation.