The system works today. The question is which market to enter first — and in what order to build the story that makes every subsequent market easier.
Go accessibility first. The prosopagnosia community is small, tight-knit, motivated, and has no viable alternative. They will try anything. They will tell everyone. And the ethical story — a privacy-first, offline-capable, wearable accommodation for a neurological condition — is unimpeachable. Every other market (sales professionals, aged care, enterprise) becomes easier once you have real users with documented outcomes.
Target: prosopagnosia community, acquired brain injury, early-stage dementia · Why: desperate need, no sales cycle, word-of-mouth is extreme
Post in r/prosopagnosia, r/braininjury, r/dementia. "I built a tool that recognises faces for you and whispers their name. Looking for testers." Not marketing copy — a genuine offer. These communities respond intensely.
Contact Prosopagnosia Research (Dartmouth), Face Blind UK, Alzheimer's Society. Offer free research use. They get case studies and real-world accuracy data. You get credibility and IRB cover.
Write the patient story. "I built glasses that remember faces for my mother." One piece in a disability publication generates more genuine interest than any product launch. Write it or find someone to tell it through.
Build a waiting list page. Smart glasses that remember everyone you've met. Currently in beta with accessibility testers. Join the list.
Target: enterprise sales reps, recruiters, VCs, conference attendees · Why: large self-aware market, willing to pay for edge, not embarrassed by AI assistance
Conference demo. Bring the glasses to a networking event and actually use them. When someone asks "wait, are you wearing something?" — that's the demo. The story writes itself: "It just told me we met at Web Summit in November and you were raising a seed round."
Sales productivity channels. LinkedIn Sales Navigator community, r/sales, Sales Hacker, Pavilion. Frame it as: "CRM that works with your eyes, not your keyboard."
CRM integration play. If the glasses memory database syncs with Salesforce or HubSpot — faces from your glasses auto-populate the CRM after a meeting — that's a genuine workflow product. Salesforce AppExchange, HubSpot App Marketplace.
Pricing model: $49/month personal · $199/month professional (multi-device, cloud sync) · $399/year annual plan.
Target: aged care facilities, memory clinics, dementia specialists · Why: high willingness to pay, NDIS/Medicare reimbursable, clear ethical case
Pilot with one facility. Not a sale — a research partnership. Offer free for 3 months to one facility. Their residents are the users. Staff handle the device. You get outcome data. They get a differentiating offering.
Publish outcomes. Did residents engage more when they could recognise carers by name? Did anxiety events reduce? This data is publishable in gerontology journals and presentable to commissioners.
NDIS assistive technology register (AU). Memory assistance is a recognised AT category. Getting listed as an approved AT provider is the procurement unlock — price sensitivity disappears.
B2B pricing: $299/device/month including cloud memory vault, family access portal, carer console. Enterprise from $5k/year.
Target: accessibility developers, AR/XR builders, HCI researchers · Why: multiplies reach without you doing all the distribution
Open source the face tracking + memory engine. GitHub, MIT licence. Keep cloud sync and API proprietary — that's the commercial moat. Open source creates community, trust, and distribution.
Clean REST API: enroll_face(image, name) · identify_face(image) → {name, context, last_seen} · add_note(person_id, text)
AWS Marketplace listing. List the recall API as an AWS Marketplace product. Enterprise AWS buyers with procurement budgets who are already searching for AI/ML APIs.
Pricing: Free — 500 identify calls/month · Pro $49/month 10k calls · Enterprise custom with SLA.
| Competitor | What they do | Your advantage |
|---|---|---|
| Google Glass Enterprise | Barcode/QR scanning | Face recognition + persistent spoken memory |
| Vuzix M400 | Smart glasses platform, no AI memory | Complete software stack |
| RealFace / Clearview AI | Face recognition, surveillance angle | Privacy-first, local, user consent model |
| Human Memory apps (Covve, Clay) | Manual contact management | Automatic, passive, no manual entry |
| This system | Passive social memory, spoken recall, offline | Only system doing all three on commodity hardware |