Eye Intelligence Infrastructure

Add guided eye capture to the healthcare app your patients already use.

EyeHealthIntel gives telehealth and healthcare platforms a guided capture layer, quality-controlled eye images, structured provenance, longitudinal records and healthcare-ready APIs — without asking patients to learn photography or leave your existing workflow.

Become a launch partner Request sandbox access

Read API overview

Designed for leading telehealth and digital-care workflows

Telehealth platforms
Digital primary care
Optician networks
Pharmacy chains
Hospital and clinic networks
Employer health
Research organizations
Future OEM / mobile-health integrations

From "please send a photo" to a guided imaging workflow.

Today

A clinician asks for an eye photo.
The patient sends a blurred, glare-filled or inconsistent image.
The clinician has poor context for comparison.

With EyeHealthIntel

Partner creates a capture request
Patient opens the embedded SDK or web capture
Real-time quality guidance
Right and left eye captured
Originals remain immutable
Structured quality and provenance returned
Historical comparison available where applicable
Clinician receives only permitted output

Integration options

Embedded Web SDK

Launch guided capture inside your existing patient experience.

API

Create capture sessions, retrieve quality-controlled results, reports and provenance through a versioned API.

FHIR Adapter

Translate approved structured outputs into healthcare interoperability resources such as DiagnosticReport, Observation, DocumentReference, Device and Provenance.

White Label

Use your own brand while EyeHealthIntel powers capture and image-quality infrastructure.

Secure Patient Link

Request a capture without requiring a separate EyeHealthIntel consumer account.

Architecture at a glance

Partner app
Capture SDK / secure capture link
Device capability + image-quality layer
Immutable image record
Approved analysis / policy layer
Structured result · report · FHIR · webhook

A simple, versioned API

Illustrative sandbox example

Request

POST /v1/clinical/capture-sessions
{
  "external_patient_id": "patient_123",
  "protocol": "anterior_eye_capture",
  "locale": "en-GB",
  "return_url": "https://partner.example/complete"
}

Response

{
  "capture_session_id": "cap_…",
  "status": "created",
  "capture_url": "…",
  "expires_at": "…"
}

Built to separate capture infrastructure from clinical claims.

No Traditional iridology in Clinical
No research-only finding in production Clinical output
Model, evidence, device and capture provenance are versioned
Quality gates can return NOT_ASSESSABLE rather than guess
Original images preserved separately from annotations
Tenant isolation and audit trails
Country and policy controls
Synthetic sandbox for integration testing

Current status

Clinical platform infrastructure is in development, at a pre-clinical release-candidate stage. No clinical diagnostic module should be presented as medically validated or regulatory approved unless and until the applicable validation and regulatory requirements are completed.

Partnership models

Pilot Partner

Co-design a non-diagnostic capture workflow and operational evaluation.

Integration Partner

Embed the SDK/API into an existing healthcare platform.

Research Partner

Evaluate imaging quality, longitudinal capture and future validated markers under approved protocols.

Strategic / OEM Partner

Explore device-specific camera capabilities and future integration.

Why partner now

Every major smartphone generation improves the imaging hardware already in the patient's pocket. EyeHealthIntel is building the software layer that can understand device capabilities, guide capture and preserve a longitudinal record.

No new consumer hardware required for core anterior-eye capture
API-first
Multi-tenant
i18n-ready
Synthetic sandbox
Future native/mobile modules
FHIR-ready architecture