Medical AI infrastructure
Embed medical intake, AI-assisted triage, clinical transcription, and structured documentation into your existing healthcare software — through one powerful API.
$ Built for developers. Designed for healthcare.
Existing healthcare systems
EVERGATE ENGINE
POST /v1/intake/analyze
AI capabilities
Partners
Evergate helps ZhanCare.Ai bring medical AI into its product.
Core modules
Each module is an independent API you can adopt on its own or compose into a complete care workflow.
POST /v1/intake/analyzeCollect patient complaints and relevant history through an adaptive conversation, then hand clinicians a structured, API-ready intake instead of free text.
Conversational intake that ends in structured data.
Explore AI Medical IntakePOST /v1/triage/assessInterpret structured symptoms against routing workflows you configure, surface potential warning signs, and give clinicians organized information to decide faster.
Does not establish a diagnosis, replace clinical judgment, or authorize emergency-care decisions.
Configurable routing with a human in the loop.
Explore AI-Assisted TriagePOST /v1/transcriptionsConvert doctor–patient conversations into diarized, timestamped transcripts with medical vocabulary handling — ready for search, documentation, and your EHR.
Clinical conversations, searchable and structured.
Explore Medical Speech TranscriptionPOST /v1/documentation/draftTransform conversations and intake data into structured, editable draft documents. Clinicians review, edit, and approve every final note.
Draft notes clinicians edit and approve.
Explore Clinical Documentation AIAPI playground
Edit a request, run it, and inspect the structured response. The playground runs in a safe demo mode with synthetic responses generated in your browser.
Valid JSON
No response yet.
Run the request to inspect the structured JSON response.
Responses are generated in your browser by deterministic demo rules over your request. They show the response schema — they are not results of a real inference request. Do not enter real patient data.
Transcription workflow
Diarized, timestamped transcripts that flow directly into documentation drafts for clinician review.
Evergate
Structured clinical intake draft generated for clinician review.
Integration
Evergate integrates into existing healthcare systems through a modular API. No need to replace your EMR, rebuild your workflows, or migrate your entire platform.
your-app.exampleAuthorization: Bearer sk_…POST /v1/…{ "status": "…" }Product design targets — status shown per capability.
Resource-oriented endpoints over HTTPS.
Typed, documented schemas for every endpoint.
Scoped, server-side secret keys per environment.
Stable /v1 contracts with deprecation windows.
Client-credentials flow for enterprise platforms.
Signed events for long-running jobs.
Typed clients for TypeScript and Python.
Per-tenant routing rules and templates.
Request metrics and traces per integration.
Choose what is logged and for how long.
Regional or private, subject to assessment.
Developer experience
Predictable REST resources, typed JSON, explicit errors, and versioned endpoints. Integrate from any stack.
Secret keys sent as Bearer tokens from your server. Separate sandbox and production keys.
Minimal, documented request fields. Send only what the workflow needs.
Consistent error objects with a machine-readable code and the offending field.
Stable, versioned JSON schemas you can generate types from.
# Proposed API — keep your secret key on the server.
curl https://api.evergate.ai/v1/intake/analyze \
-H "Authorization: Bearer $EVERGATE_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: 7f3c2a9e-intake-001" \
-d '{
"language": "en",
"patient": { "age": 34 },
"complaint": "Persistent headache and nausea"
}'
# 422 Unprocessable Entity
# {
# "error": {
# "code": "invalid_request",
# "field": "complaint",
# "message": "`complaint` is required and must be a non-empty string."
# }
# }Security & privacy
Security is an architectural constraint, not a feature. These are the design priorities Evergate is built around.
TLS for every request; encrypted storage for any data the platform retains.
Scoped API keys and roles so each integration reaches only what it needs.
Traceable records of who called what, when, and with which configuration.
Endpoints accept only the fields a workflow needs — no full records required.
Designed to work with pseudonymous identifiers instead of direct identifiers.
Server-to-server keys, with OAuth 2.0 client credentials planned.
Each organization's data and configuration logically separated.
Designed for configurable retention windows, including minimal-retention processing.
Cloud, regional, and private deployments available subject to technical assessment.
Built so deployments can be assessed against applicable local and international requirements.
These are security design priorities, not certifications. Evergate does not currently hold HIPAA, GDPR, ISO 27001, or medical-device certifications or registrations, and makes no claim of regulatory approval. For Kazakhstan, Uzbekistan and other markets, deployment and operating models are designed to be assessed against applicable local requirements on a per-customer basis.
Use cases
Evergate is infrastructure for the teams building healthcare software — not a replacement for it.
Add structured intake and routing support to admission and outpatient flows without changing your core HIS.
Offer AI-drafted notes and transcription as a native feature of your record system, behind your own UI.
Collect intake before the call and produce a structured draft after it — consultations stay focused on the patient.
Reduce documentation time in the clinic software you already run, through your existing vendor or a direct integration.
Structure inbound requests and route members to the right channel with clinician-reviewed decision support.
Ship clinical AI features in weeks instead of building and maintaining your own medical AI stack.
Pricing
Proposed launch pricing. Final terms are confirmed in your agreement.
For startups and early integrations.
Up to 1,000 completed AI sessionsWhat counts as a completed AI session?One finished workflow: an intake conversation that reaches a structured result, a triage assessment, or a documentation draft. Failed requests and validation errors are not billed. Transcription audio may be billed separately.
For established healthcare software providers.
Up to 5,000 completed AI sessionsWhat counts as a completed AI session?One finished workflow: an intake conversation that reaches a structured result, a triage assessment, or a documentation draft. Failed requests and validation errors are not billed. Transcription audio may be billed separately.
For larger medical platforms, hospital groups, and private deployments.
Higher session volumesWhat counts as a completed AI session?One finished workflow: an intake conversation that reaches a structured result, a triage assessment, or a documentation draft. Failed requests and validation errors are not billed. Transcription audio may be billed separately.
Integrate medical AI into the systems you already use.
Evergate — Medical Intelligence Infrastructure