Safety first
Assistants must recognize risk and escalate to human help immediately.
Healthcare & Wellbeing
Healthcare AI: imaging, assistants and care support
In healthcare, AI must be accurate, safe and private. We have built CNN models for brain-tumor detection and diabetic-retinopathy screening, a mental-health companion with automatic risk detection, and a 24/7 recovery-support SaaS with WhatsApp voice. Our healthcare AI supports clinicians and care teams; it does not replace professional judgement.
Safeguards we build in
- Automatic risk detection and crisis escalation
- HIPAA-aware architecture and de-identification
- Human escalation paths
- Validated models with documented limits
- Automated safety test suites
The challenge
What makes AI hard in Healthcare & Wellbeing.
Privacy and regulation
Health data demands de-identification, strict access control and HIPAA-aware design.
Clinical-grade validation
Models need rigorous validation before anyone relies on them.
Always-on support
People need help at 3 a.m., not only during office hours.
Solutions
What we build for Healthcare & Wellbeing.
Medical imaging AI
Deep-learning classifiers that support screening and triage from medical scans.
Mental-health and wellbeing assistants
CBT and mindfulness-informed guidance with mood tracking and crisis escalation.
Recovery and patient support
Round-the-clock text and voice support with subscriptions and safety guardrails.
De-identification pipelines
Remove personal health information before data is used for analytics or AI.
Voice assistants for care
Appointment, reminder and support lines on phone and WhatsApp.
Proof
Delivered in production, measured in results.
Healthcare
Medical Imaging AI
Deep-learning models for brain-tumor detection and diabetic-retinopathy screening
- screening models
- 2
- screening models
- deep-learning architecture
- CNN
- deep-learning architecture
- learning from pretrained vision
- Transfer
- learning from pretrained vision
Digital mental healthProduction-ready MVP
Namhee
An AI mental-health companion with mood tracking and automatic risk detection
- pass rate on 11 core tests
- 100%
- pass rate on 11 core tests
- RAG response target
- <5s
- RAG response target
- crisis detection
- Risk-aware
- crisis detection
Digital health SaaSProduction backend
AI Sponsor
A 24/7 AI recovery-support SaaS with WhatsApp voice and ~90% lower token costs
- lower input-token cost
- ~90%
- lower input-token cost
- text and voice support
- 24/7
- text and voice support
- automated test categories
- 12
- automated test categories
Services
The capabilities behind these solutions.
Machine Learning & Computer Vision
Predictive models and vision systems built around measurable accuracy.
- 95%+ backtested accuracy on a real-time prediction model
- Medical image classification with transfer learning
- Models deployed with monitoring, not left in notebooks
AI SaaS & Product Development
From AI idea to a product customers pay for.
- An MVP in weeks, built to scale
- ~90% lower token costs with prompt caching
- Subscription billing live from day one
Voice AI Agents
Natural voice conversations on phone and WhatsApp, around the clock.
- Round-the-clock coverage without adding headcount
- Instant answers to routine calls
- Clean hand-off to people with full context
Document AI & Anonymization
Turn scanned, messy documents into clean, compliant, searchable data.
- 98% PII detection on multi-jurisdiction legal data
- 100% data-protection and OHADA compliance
- Scanned archives converted into RAG-ready JSON
Healthcare & Wellbeing FAQ
Questions from Healthcare & Wellbeing teams.
Can't find your answer? Ask us on a free strategy call or send a short brief.
Is healthcare AI safe for vulnerable users?
Safety must be engineered in. Our mental-health and recovery products include risk detection that surfaces crisis helplines and strict guardrails on what the assistant may say.
Do you build HIPAA-compliant systems?
We design HIPAA-aware architectures with de-identification, encryption, access control and audit logging, and work with your compliance team on the agreements and hosting your obligations require.
Can AI help with medical imaging?
Yes. We have built CNN classifiers for brain-tumor detection and diabetic-retinopathy screening using transfer learning, designed to support clinicians.
Taking on new projects
Let’sbuild.
Have an AI project in mind? Let’s make it real.
Book a free 30-minute strategy call with our founder. You’ll leave with a clear view of the right architecture, timeline and next step, whether or not we work together.
- Reply within 24 hours
- NDA before you share anything confidential
- You own the code, prompts and documentation
- Hours overlap with US, UK, EU and Gulf teams