KERVALT / HEALTHCARE
Clinical AI you can verify
Kervalt powers secure clinical summarization, pharmacovigilance, and research pipelines on European infrastructure. Every answer cites its exact source, so clinical, safety, and compliance teams can trust what they act on.
01 / PROBLEM
From fragmented EHR data to unified clinical insight
Disconnected systems slow care and research. Kervalt connects narrative, relationships, and structured records with full provenance.
BEFORE
Clinical notes, EHR records, discharge summaries, trial data, and regulatory submissions live in disconnected systems. Ordinary AI summarizes without showing where the answer came from, forcing teams to manually verify every output before it can enter a patient or pharmacovigilance workflow.
AFTER
Kervalt connects narrative context, entity relationships, and structured clinical metadata in one question. Summaries, adverse-event signals, and trial insights arrive with source citations and full audit lineage.
02 / HOW KERVALT HELPS
Three ways Kervalt supports clinical and safety data
Each capability handles a part of clinical and research work where accuracy and safety cannot be compromised.
FIND
Understand clinical narrative
What it does: Reads meaning across unstructured clinical notes, discharge summaries, literature, and regulatory text.
What you get: Extracts symptoms, diagnoses, adverse events, and contraindications in their full clinical context.
Why it matters: Produces summaries that preserve intent and nuance, not just keywords.
CONNECT
Map patient, molecule, and adverse-event networks
What it does: Traces relationships across sources so hidden links become visible.
What you get: Connects patients, compounds, indications, adverse events, and contraindications across data sets.
Why it matters: Surfaces safety signals, drug-drug interactions, and contraindications that isolated searches miss.
VERIFY
Anchor to structured truth
What it does: Checks structured facts like dates, doses, lab values, and metadata with exact logic.
What you get: Filters by exact visit dates, thresholds, and patient cohort criteria.
Why it matters: Delivers numerically precise outputs for regulatory submissions and care decisions.
03 / USE CASES
Healthcare and life sciences use cases
Specific problems, what happens if they go unresolved, and how Kervalt fixes them.
CLINICAL SUMMARIZATION
Clinicians drown in unstructured EHR notes
Problem: Patient histories span EHR notes, discharge summaries, imaging reports, lab assays, and external referrals.
Agitate: Incomplete or inaccurate summaries lead to repeated tests, delayed diagnoses, and patient safety risk.
Solve: Kervalt synthesizes narrative context, links related episodes, and anchors dates, medications, lab values, and contraindications to source records.
DRUG DISCOVERY
Research silos slow candidate selection
Problem: Literature, assay data, molecule profiles, and patent landscapes live in separate repositories with no unified query layer.
Agitate: Teams miss mechanistic connections, prior art, or target-compound relationships, delaying programs and increasing R&D cost.
Solve: Kervalt connects literature, molecule relationships, assay results, and experimental metadata with verifiable citations that accelerate hypothesis validation.
PHARMACOVIGILANCE
Adverse events hide across channels
Problem: Safety signals are buried in case reports, call transcripts, clinical narratives, literature, and regulator correspondence.
Agitate: A missed signal can trigger regulatory action, product withdrawal, and patient harm.
Solve: Kervalt links products, patients, events, molecules, and literature, extracts narrative clues, and enforces case timelines, seriousness criteria, and reporting windows.
PATIENT-INTERACTION AGENTS
Conversational agents leak trust
Problem: Patient-facing bots trained on public services risk exposing personal health information, giving unsupported medical advice, and missing contraindications.
Agitate: One unsupported recommendation or data leak damages reputation and invites regulatory enforcement.
Solve: Kervalt runs private AI models in Europe, keeps personal data inside your perimeter, redacts sensitive information, and cites approved clinical content.
04 / SOVEREIGNTY
HIPAA-ready European sovereignty
Patient data, trial data, and proprietary research never leave your controlled perimeter.
PICTURE
A public AI provider receives a foreign data request. Personal health information, clinical notes, and trial data become discoverable under another jurisdiction's rules.
PROMISE
Your data stays in Europe. You hold the keys. No outside service can see or train on it.
PROVE
HIPAA-ready controls, ISO 42001 alignment, EU AI Act readiness, and full data residency options.
PUSH
Talk to a healthcare specialist for a security briefing tailored to your jurisdiction and compliance posture.
SOVEREIGNTY HIGHLIGHTS
- Compute and storage located entirely in Europe
- No leakage to outside AI services
- Customer-managed encryption keys
- Private cloud, on-premise, and air-gapped options
- Your data is never used to train public AI models
NEXT STEP
Ready for clinical AI you can verify?
Get a healthcare-specific walkthrough of Kervalt's source-backed clinical answers, pharmacovigilance controls, and patient-data protections.