AI Development for Healthcare

We build custom AI for clinics, medtech companies, and digital health startups. Most projects start with a four-week prototype and grow into a production system that handles patient data safely. We cover conversational AI, computer vision, and predictive analytics, with compliance built in from the start.

What We Build

AI Solutions We Build for Healthcare

We build AI that does one specific job well inside your product or workflow, from patient-facing chatbots to computer vision on medical devices. Every project starts with a prototype you can test on real cases before you commit to production.

Healthcare Chatbots

Conversational AI for mental health support, patient intake, and FAQs, by chat or voice, with safety boundaries and admin controls from the first prototype. We've fine-tuned models for languages like Swahili.

Medical Computer Vision

Image models for quality checks, classification, and real-time visual guidance. Our offline engine checks diagnostic image quality on the device in under a second.

Predictive Analytics

Models that flag risks like missed appointments or worsening symptoms, trained on your own data, with outputs your clinicians can check and understand.

AI for Admin Automation

Generative AI and LLM tools that draft notes, summarize records, sort incoming messages, and fill forms, so staff spend less time on paperwork. Patient data stays in your cloud.

Have a Healthcare Project in Mind?

Tell us what you're building. We reply within one business day with next steps and a rough estimate. Projects start at $5,000.

Your Trusted Partner in Compliance and Security

Built for Regulated Healthcare

We build with HIPAA and GDPR in mind from the first sprint: encryption, role-based access, audit logs, and data that stays in your cloud. Your compliance team gets a system that's easy to review.

Your Data, Your Cloud

Everything runs in your own cloud account, on AWS, Azure, or Google Cloud. You own the data, the audit trail, and the source code, so there's no vendor lock-in.

Cases

Healthcare AI Projects

What we built, how long it took, and what changed.

Cover image for the Travel Hands wearable AI navigation and streaming case study
Computer Vision
Generative AI
In 2 weeks, we built an Android app linking Meta Ray-Ban glasses with Gemini AI to give visually impaired users real-time audio guidance.
Preview image for the case study: Computer Vision Quality Control for Medical Diagnostics
Machine Learning
Computer Vision
In a 4-week R&D sprint, we built an offline machine learning engine and SDK to implement sub-second diagnostic image quality assessment on medical devices.
Preview image for the case study: Conversational Voice App for Scalable Emotional Support
Voice Recognition
Mental Health
Natural Language Processing
We built a secure, low-latency cross-platform voice application and compliant backend architecture to deliver structured emotional regulation techniques across web, mobile, and messaging platforms.
Preview image for the case study: Custom AI Chatbot for Emotional Regulation
Generative AI
Mental Health
Chatbots
In just 4 weeks, we built a secure Telegram text prototype with modular admin controls to test conversational workflows within safety boundaries.
Preview image for the case study: AI Mental Health Chatbot for Youth with Disabilities in Kenya
Chatbots
Mental Health
Generative AI
Natural Language Processing
In just 4 weeks, we delivered and deployed an empathetic, Swahili-speaking AI chatbot that now provides 24/7 mental health support to youth with disabilities in Kenya.

What Clients Say

Startups, nonprofits, and pharma teams we've built for.

FAQs

Straight answers on building AI for healthcare.

How long does a healthcare AI prototype take, and what does it cost?

Our recent prototypes took about four weeks, including a mental health chatbot and a computer vision sprint. A production version takes longer. It depends on integrations and compliance work. Projects start at $5,000.

Can you train a model on our data?

Yes. For Tumaini we fine-tuned a model on Swahili so conversations feel natural. For Sevamob we trained image-quality models on a few hundred client images. We agree on how your data is handled before any of it moves.

Can AI run on a device without internet?

Yes. We built an offline engine that checks diagnostic image quality in under a second, right on the device.

How do you keep a mental health chatbot safe?

We set safety boundaries and admin controls from the first prototype, and test conversations against them before launch.

Does my AI feature need FDA clearance?

If it diagnoses, triages, or recommends treatment, it may count as a medical device. Wellness and admin tools usually don't. Our SaMD guide shows how to tell.

Contact 26bitz for healthcare software development
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Schedule a Consultation with Our Team

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