Clinical AI That Passes Review — the Compliant Platform It Runs On.
Clinical AI fails in everything around the model: patient data that can’t leave the region, an EHR that won’t integrate, no audit trail, no clinician in the loop. We build and integrate the compliant production platform that solves exactly that — EHR-connected, human-in-the-loop, encrypted, data-residency-aware, and auditable. We are not a diagnostic-model vendor and we don’t make clinical decisions.
Trusted in Regulated Healthcare
Sound Familiar?
Your clinical AI works in a pilot but can't touch a patient record.
The model performed well on a research dataset. Then you tried to run it against live patient data inside your EHR — and hit a wall of integration, governance, and consent questions nobody had answered. The pilot proved the science; it said nothing about production.
Patient data can't leave your region — and your AI vendor's API is offshore.
Sending PHI to a third-party model hosted who-knows-where is a non-starter with your DPO. You need to know exactly where the data lives, how it’s encrypted in transit and at rest, and whether the whole architecture survives a HIPAA, GDPR, or DCB review before a single record moves.
There's no audit trail — so no one can explain what the AI did.
A clinician asks why the system flagged a case. Your CISO asks what data the model saw. The regulator asks who approved the output. If you can’t answer with a log, u0022the AI decidedu0022 is not a defensible clinical or legal position.
The AI acts on its own, and no clinician is in the loop.
Autonomy sounds efficient until an unsupervised model quietly mis-triages, mis-codes, or mis-routes a patient. In a clinical workflow, the AI has to propose and a qualified human has to dispose — with the checkpoint built into the system, not left to policy.
Your EHR won't integrate — Epic, Cerner, or a legacy system nobody documented.
The AI is only useful if it can read and write in the record clinicians actually use. HL7/FHIR, single sign-on, and write-back into a legacy EHR is where most clinical AI projects stall — and it’s exactly the connective-tissue work most AI shops avoid.
You have to satisfy a framework you've never implemented — DCB0129/0160, HIPAA, the EU AI Act.
Clinical risk management, safety cases, data protection impact assessments, and the new AI-specific obligations aren’t a checkbox at the end. They shape the architecture from day one — and retrofitting them after a pilot is where budgets and timelines go to die.
We Build the Platform, Not the Diagnosis
Trembit does not train diagnostic models and does not make clinical decisions. What we build is the compliant, production-grade software platform that clinical AI runs on: the data pipeline that feeds it, the EHR integration that connects it, the human-in-the-loop controls that keep a clinician in charge, the encryption and data-residency architecture that satisfies your DPO, and the audit trail that satisfies your regulator. The clinical judgment stays with your clinicians and your validated models. The engineering discipline that makes it safe to deploy — that’s the layer we own.
Clinical AI Services
Compliant Clinical AI Platform Engineering
For teams with a validated model that need the production platform around it.
We build the whole system that isn’t the model — data ingestion, deployment, access control, monitoring — architected to pass clinical-safety and data-protection review.
- Data pipelines that de-identify, govern, and feed clinical data to the model safely
- Data-residency-aware deployment (region-locked hosting, on-prem, or private cloud)
- Encryption in transit and at rest, scoped access control, and consent handling
- Model monitoring, drift detection, and versioning built for a regulated environment
EHR u0026 Clinical-Systems Integration
For teams whose real blocker is connectivity, not the model.
We connect AI to the systems clinicians actually use, so it can read and write in the record — securely and to standard.
- HL7 / FHIR integration and write-back into Epic, Cerner, and legacy EHRs
- Single sign-on, role-based access, and clinician-context passing
- Integration with PACS, LIS, scheduling, and departmental systems
- Real EHR experience: Epic and Cerner integration behind Martti / Equiti Health
Clinical Workflow Automation (Human-in-the-Loop)
For teams drowning in clinical and operational admin.
We build u0022admin co-workeru0022 automation that reads, triages, and drafts — with a clinician or coordinator approving anything that matters.
- Intake, referral, and prior-authorization document triage (with a human approving)
- Clinical documentation support and coding assistance — drafted, clinician-signed
- Request routing with the reasoning attached, and a full audit trail of every action
- Full agent architecture and guardrails via our AI Agents u0026 Automation practice
Clinical AI Compliance u0026 Safety Engineering
For teams facing a framework they haven't implemented.
We architect the compliance and clinical-safety posture in from the start, not as a retrofit.
- HIPAA, GDPR, and KBV-grade architecture — encryption, residency, auditability by design
- Clinical risk management alignment (DCB0129 / DCB0160) and DPIA support
- EU AI Act-aware design for higher-risk clinical use cases
- Dedicated security u0026 compliance practice for the certification path
AI Inside Live Telemedicine Video or Voice?
Real-time clinical AI in the live media path has its own home
u003cpu003eReal-time clinical AI u003cemu003ein the live media pathu003c/emu003e — an AI scribe on a video consult, live medical interpretation, ambient documentation during a call — is built on our protocol-level WebRTC depth. This page covers clinical AI everywhere else — the models, agents, data pipelines, and EHR integration that aren’t inside a live call.u003c/pu003e
How We Deploy Clinical AI Safely
Data Governance First
We start with where the clinical data lives, how it’s consented, and how it’s de-identified — because in healthcare the data and its governance are the project, not an afterthought.
Compliant Architecture by Design
Encryption, data residency, access control, and auditability are designed into the system from day one, mapped to HIPAA / GDPR / KBV and, where relevant, DCB clinical-risk standards.
EHR u0026 Systems Integration
We wire the AI into the record and the systems clinicians actually use — HL7/FHIR, SSO, write-back — so it does the work instead of sitting beside it.
Human-in-the-Loop by Default
Every consequential AI output passes a qualified clinician or a confidence threshold before it’s acted on. The AI proposes; a clinician disposes.
Evals, Guardrails u0026 Clinical Validation Support
We build the eval set and guardrails, and support your clinical team’s validation and safety-case work with the logging and evidence it needs. Clinical validation stays with your clinicians; we make it measurable.
Monitoring u0026 Auditability in Production
Drift detection, performance monitoring, and a complete, reviewable audit trail of what the AI saw, decided, and who approved it — the difference between a defensible system and a black box.
Where Clinical AI Actually Works
Clinical u0026 Operational Admin
u003cpu003eIntake, referrals, prior authorization, and records updates — high-volume, unstructured, and drowning skilled staff. An AI co-worker that reads, triages, and drafts (clinician-approved) frees people for patient-facing work. See u003ca href=u0022/services/ai-agents/u0022u003eAI agents u0026 automationu003c/au003e.u003c/pu003e
Clinical Documentation u0026 Coding Support
u003cpu003eAI that drafts documentation and suggests codes for a clinician to review and sign — reducing the admin burden that drives burnout, with the human always in the loop and every suggestion logged.u003c/pu003e
Medical NLP u0026 Document Processing
u003cpu003eExtracting structure from unstructured clinical text — notes, letters, scanned documents — into the record, with validation and human review. The same document-AI discipline we built for u003ca href=u0022/case-studies/eska-leasing-ai-risk-platform/u0022u003eEskau003c/au003e in finance, applied to clinical data under stricter governance.u003c/pu003e
Intelligent Routing u0026 Triage Support
u003cpu003eRead-classify-route logic that gets the right case to the right team faster — decision u003cemu003esupportu003c/emu003e, with the clinical decision staying human. The routing pattern behind u003ca href=u0022/case-studies/martti-medical-video-interpretation/u0022u003eMartti’su003c/au003e interpretation platform at 4,000+ hospitals.u003c/pu003e
How We Engage
Clinical u0026 Technical Scoping Call (30 min)
A Trembit engineer and your clinical/IG stakeholders look at the use case, the data, and the systems it must touch — and we tell you honestly whether it’s deployable, what compliance it triggers, and where the real risk is. No pitch deck, a diagnosis.
Governance u0026 Feasibility (Discovery)
We map the data flows, consent, residency, and integration surface, and validate feasibility against your real EHR and governance constraints — before anyone commits to a build. You get an architecture and a compliance path, not optimism.
Build in Sprints With Compliance Baked In
We work in 2-week sprints with working software on a compliant staging environment, shipping a thin end-to-end slice early — data in, model, EHR integration, human approval, audit out — so the governance is proven before we scale.
Validate, Harden u0026 Evidence
Before go-live we build the eval set, wire in guardrails and the audit trail, support your clinical validation and safety case, and lock down the data-residency and access posture — so what goes live is measured, supervised, and auditable.
Monitor u0026 Ongoing Partnership
We stand up monitoring, drift detection, and retraining, document the system for your governance records, and transfer knowledge. Most healthcare clients extend into a long-term dedicated team on a now-stable, compliant platform.
Technology u0026 Expertise
Model-agnostic AI, clinical NLP, EHR standards, and compliance architecture — the stack that makes clinical AI deployable.
LLMs u0026 Models (Model-Agnostic)
Clinical NLP u0026 ML
Retrieval (RAG)
EHR u0026 Standards
Compliance Architecture
MLOps
Cloud u0026 Infrastructure
Healthcare Work We've Delivered
AI, EHR integration, and compliance in production at healthcare scale.
AI-Assisted Medical Interpretation at Scale
Martti / Equiti Health Healthcare
Challenge: A WebRTC video medical-interpretation platform with intelligent language routing — 90+ languages over video, 250+ over audio — connecting patients and interpreters in under 20 seconds. Integrated with Epic and Cerner EHRs, HIPAA- and SOC 2-compliant, running at 99.99% uptime across 4,000+ hospitals. Proof of AI/ML and EHR integration in production at healthcare scale, under real compliance.
- Epic + Cerner EHR integration
- 90+ languages over video, 250+ over audio
- HIPAA- and SOC 2-compliant
- 99.99% uptime across 4,000+ hospitals
KBV-Certified Psychotherapy Video Platform
webPRAX Germany
Challenge: A psychotherapy telemedicine platform certified to Germany's KBV standard — a rare compliance credential among engineering teams, and proof we can build clinical software that passes a national regulator's review. The same compliance discipline that clinical AI deployment demands.
- Certified to Germany's KBV standard
- Passed a national regulator's review
- The compliance discipline clinical AI deployment demands
Auditable, Explainable Document AI (Transferable Pattern)
Eska FinTech
Challenge: A Python NLP pipeline that parses and OCRs contracts, an explainable risk-scoring ML model, and an automated decision pipeline that auto-approves, routes to a human, or flags each case — every decision traceable. Built in finance, but the exact document-AI-plus-human-in-the-loop-plus-audit pattern clinical admin automation requires.
- Explainable document AI with full traceability
- Auto-approve / route-to-human / flag decisioning
- The human-in-the-loop + audit pattern clinical admin needs
What Our Clients Say
“What really sets Trembit apart is that they get the unique security needs in healthcare — that’s huge for us. They feel like a real part of our team, not just an outside contractor, and they deliver solutions that work well and are easy to use.
“Their proactive team gets things done as if it were their own project, consistently delivering high-quality outputs. Trembit’s handy suggestions, adaptability, and customer-oriented approach stand out — but what really differentiates them is their ability to deeply understand business needs.
Why Trembit for Clinical AI?
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KBV + HIPAA + GDPR
A compliance moat rare among AI vendors
u003cpu003eHIPAA, GDPR, and KBV delivery experience — including the first KBV-certified psychotherapy video platform in Germany — is baked into how we architect. Encryption, data residency, and auditability are designed in, not retrofitted. That’s the difference between a clinical pilot and a system that passes review.u003c/pu003e
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Epic+Cerner 4,000+ hospitals
Real EHR and healthcare-scale track record
u003cpu003eWe engineered the platform behind Martti’s medical interpretation across 4,000+ hospitals, with Epic and Cerner integration at 99.99% uptime. We’ve done the connective-tissue work — HL7/FHIR, SSO, write-back — that most clinical AI projects stall on.u003c/pu003e
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Supervised Not a black box
Human-in-the-loop, not black boxes
u003cpu003eWe don’t overclaim autonomy or make clinical decisions. We build systems where the AI proposes and a clinician disposes, with guardrails and a full audit trail — so every AI action is supervised, explainable, and reviewable.u003c/pu003e
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1–3+ yr Average engagement
Long-term partnerships in a high-stakes domain
u003cpu003eHealthcare clients stay because delivery is reliable and estimates are accurate. We optimize for a stable, compliant, monitored platform your clinical and governance teams can depend on — not a handoff.u003c/pu003e