We build intelligent
systems for
healthcare.
AI agents. Machine learning pipelines. Data infrastructure. All healthcare. All compliant. Veridex brings together the clinical domain knowledge and engineering depth most teams can't hire simultaneously.
Healthcare AI is hard
for three specific reasons.
Most development shops understand software. Most healthcare teams understand compliance. Very few understand both — and in healthcare AI, you need both before you write a line of code.
Agents Are Non-Deterministic
AI agents don't produce the same output for the same input. Standard QA testing doesn't cover this. Most teams deploy and hope — which is not a compliance strategy.
HIPAA Is Not Negotiable
PHI handling, BAAs, audit logging, and de-identification rules apply the moment an agent touches patient data. Getting this wrong after deployment is expensive and public.
Enterprise Buyers Need Proof
Health systems and payers are deploying agents at scale but their legal and compliance teams require documentation that most vendors cannot produce. The deal dies in diligence.
Four practice areas.
One healthcare focus.
Veridex operates as a specialized development partner — not a generalist shop that does healthcare on the side. Every engagement is built on clinical domain knowledge and compliance-first engineering.
Healthcare AI Agents
Patient-facing and operational AI agents built for the compliance constraints of healthcare — not retrofitted after the fact.
- → Patient communication and scheduling
- → Prior authorization automation
- → Clinical triage support agents
- → Revenue cycle workflow automation
- → Pharmacy patient engagement
- → Care coordination agents
ML Systems & Models
Predictive models, risk stratification, and clinical decision support built on your data with audit trails regulators can actually read.
- → Readmission and risk prediction
- → Claims and coding anomaly detection
- → Medication adherence modeling
- → Population health segmentation
- → Clinical NLP and document intelligence
- → Model monitoring and drift detection
Healthcare Data Infrastructure
The plumbing that makes everything else possible — HIPAA-compliant data pipelines, warehouses, and integration layers that actually connect your systems.
- → FHIR-compliant data pipelines
- → EHR and PMS integrations
- → Claims data warehousing
- → Real-time analytics infrastructure
- → HL7 interoperability layers
- → HIPAA-compliant cloud architecture
The combination that's
hard to find elsewhere.
Most teams have one of these. We have all four.
Clinical Domain Knowledge
Deep experience in pharmacy operations, revenue cycle, and patient workflow — not learned from documentation but from building systems that run them.
Compliance-First Engineering
HIPAA Technical Safeguards, BAA frameworks, and PHI handling are built into our development process — not reviewed at the end of the project.
Rigorous Build Methodology
Our development methodology traces every implementation to its requirement, producing documentation that survives regulatory scrutiny and legal diligence.
Audit Documentation Included
Every engagement produces a compliance documentation package — behavioral specification, test results, and deployment checklist — not just working code.
Compliance isn't added
at the end.
Every engagement follows the same methodology — requirements before code, compliance before deployment, documentation before delivery.
Requirements Before Code
We start with your compliance team, not your developers. Every behavioral boundary, regulatory constraint, and escalation trigger is documented before the system is built. Your attorneys can read it.
HIPAA Architecture by Default
PHI never enters a model without explicit de-identification. Encryption, access controls, and audit logging are structural — not bolt-ons applied after the system is built.
Traceability Throughout
The way we build links every function to the requirement it implements. When something changes — requirements, regulations, or the underlying model — you know exactly what needs to be retested.
Behavioral Testing at Scale
For agent deployments, we run hundreds of simulated interactions across defined use cases, edge cases, and adversarial inputs before any system touches a real patient or clinical workflow.
Audit Documentation Included
Every engagement delivers a complete documentation package — behavioral specification, test corpus results, compliance mapping, and deployment checklist. What you need when the regulator asks.