Build secure systems
for protocol-driven, high-stakes work.
Health systems, research institutions, and life-sciences operators run on protocol, consent, and audit. Verne builds the platforms that handle cohort assembly, secure integration, AI-assisted reporting, and the deeply regulated workflows research demands.
The structural challenges of
data-heavy clinical and research work.
Health data is the hardest data to work with, fragmented across vendors, consent-bound, regulated across jurisdictions, and life-critical at the point of use.
EHR fragmentation
Clinicians log into 6 systems to assemble one patient picture. Research has it worse, 14 systems and counting.
Cohort assembly time
Building a research cohort takes months. Eligibility queries, consent verification, and pull permissions compound.
Protocol drift
Sites interpret protocols slightly differently. Variation kills trial integrity and downstream analysis.
Consent provenance
Who consented to what, when, with what version of the form? Reconstructing it for audit takes days.
AI risk in clinical context
Generic LLMs hallucinate medical content. Generic copilots don’t respect minimum necessary access.
Reporting to regulators
FDA, EMA, MHRA, IRB, and HIPAA all expect different shapes of the same underlying truth.
Six systems for research operations,
clinical workflows, and reporting.
Engineered for consent, protocol, and audit. Built to interoperate with the EHRs, EDCs, and registries your operation already uses.
Research Data Platform
Cohort assembly, eligibility queries, consent-aware data joins, lineage preserved end-to-end.
Cohort Management
Versioned cohorts with audit trails, recruitment dashboards, and protocol adherence monitoring.
Health Service Analytics
Real-time service utilization, waitlist, outcomes, and cost dashboards for system operators.
EHR Integration
Bi-directional HL7 / FHIR integration with major EHRs. Identity resolution, consent propagation.
AI-Assisted Reporting
Grounded summaries for IRB, regulators, and program leadership with full evidence chains.
Telehealth Workflow Engine
Configurable virtual care pathways with consent, billing, and clinical documentation built in.
A research and clinical operations stack,
engineered for protocol and consent.
Top to bottom: clinician and researcher surfaces, protocol layer, intelligence and analytics, EHR integration, source systems, and regulated infrastructure.
Engineered for the consent,
audit, and protocol bar healthcare requires.
We design to the HIPAA, GDPR, FDA 21 CFR Part 11, and IRB constraints, not as overlays, but as foundational architecture.
Consent-Aware Data Flows
Consent state is enforced at the data and inference boundary. Re-consent flows are native, not workarounds.
Protocol Adherence
Protocol versions are first-class. Every observation is link-able to the protocol version active at the time.
Audit & 21 CFR Part 11
Electronic records and signatures with the lifecycle, authentication, and non-repudiation Part 11 requires.
Minimum-Necessary AI
Inference respects role-scoped minimum necessary access. No data leaves the BAA-covered boundary.
Verne capabilities deployed in this sector.
Bring us your
most complex workflow.
In 7–10 working days, Verne maps your workflows, data sources, repetitive decisions, automation opportunities, and AI risk areas. You receive a prioritized roadmap showing what to automate, integrate, avoid, and build first.