Records in, reliable data out.
Our multi-model AI engine will power your enterprise needs, EMR, or health tech product. We find medical records nationally. We read data, documents, faxes, and images to return clean, cited outputs for any healthcare workflow.
Pulls records from major US EMRs
- Epic
- Oracle Health
- Cerner
- athenahealth
- MEDITECH
- Veradigm
- ModMed
- HST
- SIS
- gGastro
- Exscribe
- NextGen
- eClinicalWorks
Healthcare AI needs specialist engineers. Or one API key.
We’ve built your clinical AI data processing engine. So you can manage your work.
Always the best model for the job.
We route across Gemini, Claude, GPT, and open-source models per task. No lock-in, no model bets, nothing to manage.
- Claude
- Gemini
- GPT
Blistering fast.
Specialist agents read across structured and unstructured data. We can process ~2,000 pages in under a minute.
No surprise bills.
Per-document cost metering, rate limits, always-on security scanning, and guardrails that live outside the model.
Your data never trains a model.
All PHI is never shared with or retained by model providers. HIPAA-compliant by architecture, SOC 2 certified.
One pipeline. Every format.
Retrieve
Query EMRs nationally (95% of US hospitals), share HL7 feeds, API uploads, EHR fax queues, lab and pharmacy feeds, paper scans, C-CDA, FHIR, images.
Assemble
Every document is read, de-duplicated, and merged into one chronological chart. Every page keeps its facility, date, provider, and document type.
Extract
Specialty screens tuned to your use case, plus the full structured history of the patient, not just the fields you asked for.
Deliver
The screen results and the whole structured patient delivered to your endpoint or EMR with the same schema every time.
Power your work. Like our clients.
Transplant candidacy
~100 criteria evaluated per recipient, contraindications tiered. +35% waitlist additions · +40% living-donor evaluations.
- Transmed Solutions
- Square Knot Health
Surgical eligibility & site of care
Pre-anesthesia review across ~250 clinical fields, before the patient arrives.
- Spire Orthopedics
- US Anesthesia Partners
Registry reporting
We pre-draft registry fields for the American Spine Registry.
- Allegheny Health Network
- American Spine Registry
Care-gap closure
HEDIS measures assessed, eligibility decided deterministically, a citation on every finding.
HCC identification & suspecting
Diagnosis extraction with hierarchy logic and claims matching built to survive a RADV auditor.
Prior-auth eligibility
Payer criteria checked against the chart, packet fields pre-filled.
- Rubrum Advising
Guideline-adherent care
Evaluate charts against clinical guidelines, flag deviations with evidence.
- Allegheny Health Network
Real-world evidence
Research-grade structured datasets from unstructured records.
- Rubrum Advising
- Allegheny Health Network
Trial eligibility & follow-up
Screen cohorts in, and track them after.
- Comprehensive Blood Cancer Center
Deploy your way. Whatever that is.
We support you to pipe structured data into your native system.
Write to your EMR
Results land inside the chart your teams already work in. Propose, approve, execute, read-back verify.
REST API
Sandbox keys, batch submission, screen catalog with JSON schemas and example outputs. Results arrive by signed webhook.
Private MCP servers
Plug the engine directly into your own agents and copilots.
Locally on your cloud
Deployments on AWS, GCP, or Microsoft Azure.
SFTP, HL7 & SMART on FHIR
SFTP batch uploads; HL7 feeds; a SMART on FHIR app to meet your software where it is.
Verifiable, down to the page.
Production API from day one, so you can pipe structured data into your native system.
Evaluation never stops
Citation verification, bias and accuracy checks run continuously, and you can monitor these.
Writes with a human in the loop
We partner and tune our solution to your desired level of approval.
Compliance posture
HIPAA-compliant · SOC 2 Type II certified · third-party penetration tested · HITRUST-aligned controls.
The model reads. Clinical rules make the call.
Where clinical rules exist, decisions are code, not a model’s mood. Same inputs, same answer, recomputable instantly.