The platform

Five verticals.
One engine.

Bi-directional means we measure both sides of every interaction: the person being supported and the person supporting them. The same engine, deployed across five verticals. US-first. Institutional spend data sourced from US federal agencies and industry bodies.

US Behavioral Health

Mental Health & Therapy

$280B

SAMHSA 2023

National behavioral health spend. Clinical screening, therapist analytics.

US Correctional Health

Judicial & Welfare

$182B

BJS 2022

Total US correctional system cost. Inmate welfare, officer assessment.

US Staffing Industry

Recruitment & Aptitude

$207B

ASA 2024

US staffing industry GVA. Candidate screening, aptitude signals.

US Employer Cost

Corporate Wellbeing & EAP

$282B

Yale/NBER 2024

Annual employer cost of mental illness. Burnout early-warning, EAP analytics.

VA Mental Health

Soldier & Veteran Wellness

$13.6B

VA Budget 2024

VA mental health budget. PTSD screening, transition support, suicide prevention.

Five verticals · One platform

Combined US addressable

$965B+

Multiple US agencies

Platform architecture

Two terminals.
One secure cloud.

Every session flows end-to-end through encrypted, governed infrastructure. Therapist/patient shown; same terminals redeploy for manager/employee, case manager/member, commander/soldier.

SECURE CLOUDCLINICALSERVICE USER

Clinical terminal

Therapist · Operator

  • Live dashboard
  • Engagement score
  • Risk flag alerts
  • Session reports
  • Programme analytics

Service user terminal

Patient · Participant

  • Video · 30fps facial capture
  • Audio · 16kHz speech
  • BLE wearable · HRV
  • Consent captured
  • 30s rolling buffer

01

Capture & stream

OpenCV 4.9 · NAudio 16kHz · BLE wearable · SignalR · WPF .NET 8

02

ML intelligence engine

ONNX Runtime · 58 properties · 5 risk flags · on-device · 30-language alignment (not translation)

03

Root engine · governance

Consent ∩ licence ∩ role · one codebase, four markets · fail-closed · audit-grade

04

Cloud infrastructure

AWS Fargate · PostgreSQL RDS Multi-AZ · Redis · Terraform · GitHub CI/CD

The happy path engine

One life event. Many parallel needs.

Humans are complex. A single event ripples across grief, identity, relationships and routine. The engine surfaces matched providers to the therapist. Clinician decides, patient benefits.

Branching diagram: a single gold origin node fans into four cream paths that terminate in four parallel destination chips.

01

Trigger

The presenting signal.

A patient arrives with depression after the loss of a long-term pet. The therapist sees grief. The engine sees grief, plus identity rupture, routine collapse and social withdrawal running in parallel.

One event · many needs

02

Engine surfaces parallel needs

Grief therapy · Pet-loss specialist · Life-transitions coach · Pet companionship. Therapist accepts, modifies or rejects each.

03

Routed + learned

Patient routed across marketplace. Outcome data flows back. Next session starts smarter.

04

Same logic, every vertical

Employee burnout → EAP + sleep coach + gym. Inmate welfare → MH + addiction + family mediation. Veteran → PTSD + career + peer-support.

The marketplace

The wellbeing economy is fragmented. We connect it.

Thousands of apps, therapists, coaches, and physical-wellbeing providers, all solving one problem in isolation. Illuminafy is the connective intelligence layer above them.

Today: fragmented wellbeing economy of disconnected silos: therapy apps, coaches, EAPs, gyms and peer groups, each operating in isolation.
Today · disconnected silos
With Illuminafy: the same providers connected through a routed intelligence layer that matches needs to providers and feeds outcomes back.
With Illuminafy · routed intelligence layer

Business model

Revenue that compounds with scale.

Institutional contracts anchor. Marketplace scales. Data compounds long-term value.

01

Institutional licensing

B2B annual contracts · Enterprise

02

SaaS platform fees

Per-seat · per-session · 5 verticals

03

Transaction & commission

Stripe-powered · multi-tenant · global marketplace

04

Proprietary insights API

Anonymised · aggregated · consented · research & policy licensing

Go-to-market

We start where the problem is urgent.

Institutional-first. Every pilot generates outcome data. Data becomes case study. Case study sells the next contract. The flywheel accelerates as evidence compounds.

  1. 01

    NOW → Q4 2026

    Targeted Pilots

    Three simultaneous institutional pilots producing publishable outcomes across enterprise, healthcare and government.

  2. 02

    2026 → 2027

    Partner-Led Distribution

    Embed inside existing EAP platforms, coaching networks, and L&D infrastructure. Additive from day one, not replacement.

  3. 03

    2027 → 2028

    Institutional Scale

    Healthcare system contracts · national rollouts · MoD insurers. Clinical evidence compounds into adoption.

  4. 04

    2028+

    Global B2C Launch

    Consumer platform launched from institutional credibility, not cold market entry. Clinical evidence base makes adoption frictionless.