Healthcare software where the AI has to be responsible
We build health apps and applied AI — including detecting human vitals from facial recognition — with the care that clinical-adjacent software demands. Responsible AI isn't a tagline here; it's the requirement, and we build to it.
Strictly grounded clinical note & protocol synthesis with verified citations
Accelerated chart review through semantic search across patient histories
Assistive-only architecture; final diagnostic authority remains with doctors
Execution Blueprint
How Sodiac architects healthcare solutions
A battle-tested 4-step implementation pipeline connecting your legacy stack, proprietary models, and human governance.
PHI Sanitization & De-Identification
Edge-based de-identification stripping 18 HIPAA patient identifiers before ingestion into clinical vector stores.
Specialized Clinical Vector Indexing
Hybrid BM25 and clinical domain embedding over verified EHR notes, lab results, and hospital clinical protocols.
Dual-Verification Clinician Gate
Every AI synthesis surfaces exact source document citations, requiring explicit clinician sign-off before entering health charts.
FHIR / HL7 EHR Interoperability
Secure bidirectional HL7 and FHIR API synchronization connecting directly with Epic, Cerner, or internal hospital databases.
Core Capabilities
What we build for healthcare
Vitals Detection AI
Applied computer vision that reads human vitals from facial recognition, built and validated with care.
Companion Health Apps
Patient- and user-facing apps that make health data usable, on web and mobile.
Responsible Health AI
Auditable, permissioned, human-in-the-loop by default — because health data allows no other standard.
Enterprise Trust & Governance
Security and regulatory compliance for healthcare
Built to satisfy strict enterprise compliance officers, procurement boards, and internal legal teams.
HIPAA & HITECH Architecture
Clinical ComplianceSigned Business Associate Agreement (BAA) eligible cloud design with AES-256 encryption at rest and in flight.
Zero External Model Retention
Zero RetentionPatient records and clinical prompts are never retained by third-party model providers or used for public AI training.
Assistive AI Guardrails
Ethics & SafetyAdheres to strict Responsible AI clinical standards ensuring AI never makes unsupervised diagnostic or prescription calls.
Delivery Standards
Proof, not promises
We've built AI that detects human vitals from facial recognition, plus a companion health app around it.
Applied computer vision built and validated deliberately — health-adjacent AI is not a place for move-fast-and-break.
We build with permissioning and traceability in mind, so sensitive data is handled the way it has to be.
Responsible-AI foundation: human oversight and auditable behaviour on anything touching a person's health.
Specialized technical capabilities
Why teams pick Sodiac
Real applied health AI, already built
Vitals detection from facial recognition, in a working app
Web and mobile health app development
Sensitive data handled with permissioning built in
Human oversight on health-relevant AI decisions
Auditable AI behaviour, not a black box
Built via responsible AI, faster and at lower cost
A partner who's shipped health AI, not just proposed it
Healthcare Questions Answered
Have questions about building or automating in healthcare? Talk to our domain leads →
We implement zero-trust data architectures with end-to-end encryption, automated Protected Health Information (PHI) / PII sanitization, and localized storage in accordance with the DPDP Act and HIPAA best practices.
Our vitals detection module applies advanced computer vision and photoplethysmography (rPPG) algorithms to detect subtle facial blood volume pulse changes, estimating heart rate and oxygenation non-invasively through standard camera feeds.
Always. Our systems adhere to strict human-in-the-loop design: the AI serves solely as an assistive triage and data-organization tool. Clinical diagnoses and medical decisions remain strictly under human healthcare professional control.
Yes. We build responsive cross-platform web and native iOS/Android mobile companion apps that allow patients to securely record metrics, access clinical summaries, and communicate with providers.
Building for healthcare?
Tell us what you are building or automating. We have shipped in your space — and we will do it responsibly, and faster.
Talk to us →