Clinical AI That Clears Compliance Before It Clears Your Desk
Banao builds diagnostics, monitoring, and workflow AI for healthcare organizations — with HIPAA, GDPR, and HL7 review built into step two of every engagement, not added after the fact.
"They guided us through a complex AI transformation in healthcare — balancing innovation with compliance."
Harshil Jain, Head of Digital, MedNova Health
Six domains. One engineering team.
From diagnostics to systems integration, built by the group that ships it — not handed off between teams.
Diagnostics AI
Models that surface anomalies in clinical data before they reach a chart review.
Imaging AI
Triage support built into the imaging pipeline itself, not bolted on after the read.
Monitoring AI
Continuous signal on patient status between check-ins, not only at them.
Workflow AI
Automates the manual steps between intake, documentation, and action.
Clinical NLP
Turns unstructured clinical notes into structured, usable data.
Systems Integration
Built to speak HL7 and the interfaces your existing systems already run on.
Compliance review is step two — not an afterthought.
Where Compliance Usually Sits vs. Where We Put It
Compliance as a Late Gate
- 01Build the model against sample data
- 02Test internally, without clinical staff in the loop
- 03Route to legal and compliance right before launch
- 04Fix HIPAA, GDPR, or HL7 gaps under deadline pressure
Compliance Reviewed Before the Model Sees Data
- 01Discovery & clinical scope defined with your stakeholders
- 02Data curation & compliance review — HIPAA, GDPR, HL7 checked before a model sees patient data
- 03Model built against your existing infrastructure
- 04Clinical testing & feedback — real scenarios, your clinical staff in the loop
Manentia AI, streamlining diagnostics since 2020
Their teletracking software gives physicians accurate reports for patient care, anytime, anywhere — built the same way everything we ship gets built.
One health-tech deployment shown here in full. Not a hospital or payer case — we're not implying one.
All case studies →
Client: Manentia AI — diagnostics teletracking, live since 2020
Direct From the People We Built With
"They guided us through a complex AI transformation in healthcare — balancing innovation with compliance."
"In 2020, Manentia AI set out to streamline diagnostics. Their teletracking software gives physicians accurate reports for patient care, anytime, anywhere."
Before you book the call, here's what teams ask first
Compliance, integration, and validation — answered in the order buyers actually raise them.
01 What kind of AI use-cases do you implement in healthcare?
Diagnostics, monitoring, and workflow AI — built for healthcare providers, payers, and health-tech teams, and shipped as production systems, not pilots.
02 How do you handle compliance and patient data privacy?
HIPAA, GDPR, and HL7 review is step two of every engagement — completed before a model ever sees patient data.
03 Can AI be integrated with our hospital or EHR system?
Yes. Our healthcare AI has been integrated with 15+ healthcare platforms to date.
04 Do you offer clinical validation and testing?
Yes — Clinical Testing & Feedback is step four of every engagement, run with clinical users before launch.
05 What post-deployment support do you offer?
Post-launch monitoring is the final step of our six-step process — not a separate support contract added later.
"We do not sell you software we hope works. We sell you the software we depend on."
— Banao, on running InterviewGod, Vikaas and Vidya internally on the same AITalk Through Your Compliance Requirements First
HIPAA, GDPR and HL7 review sits at step two of every build, before a model sees patient data. Bring your constraints to the first call and we will scope against them directly.
Book a Discovery Sprint → The first call is free · 45 minutes · no obligation