Healthcare AI development
Agents, document intelligence and predictive models, scoped to real tasks and reviewed by a person where it matters.
Agents, document intelligence and predictive models, scoped to real tasks and reviewed by a person where it matters.
Our healthcare technology solutions combine AI, software engineering, and connected systems to support real-world clinical and operational workflows. Healthcare AI works today in administrative and operational tasks, where rules are known and mistakes can be corrected. We scope it there first, then build the product around it.
Interactive execution path for clinical AI inference
Handle routine questions about appointments, preparation, results and billing, using your approved content, with anything unusual passed to a person.
Referrals, intake forms and scanned correspondence turned into structured data, with low-confidence items sent to a review queue rather than guessed.
Multi-step administrative tasks completed within set permissions: eligibility checks, record updates, status chasing. Every action is logged.
Fast answers from your own policies and protocols, with a citation back to the source document so staff can check the answer.
Risk patterns, capacity pressure and care gaps surfaced early enough for someone to act on them.
Relevant information assembled and prioritised so a clinician reaches a decision faster. The decision stays with the clinician.
Every figure here is drawn from delivered work and reviewed before publication. Where a number cannot be evidenced, it is not on this page.
These projects rarely fail on the code. They fail on what was not obvious at the start: a proprietary device format, a consent rule nobody mentioned, or a clinical system that will not be replaced.
Device hubs, streaming telemetry pipelines, patient vitals ingestion, and asynchronous clinician alerting designed for real-world care.
Continuous vitals tracking, threshold violation triage and battery-conscious firmware communications.
Grounded LLM workflows, policy compliance filters, automated document parsing and operational routing.
Bluetooth Low Energy protocols, medical sensor synchronization, edge gateways and secure embedded software.
Secure asynchronous consultations, clinician chat, patient engagement and adherence notifications.
De-identification pipelines, longitudinal patient histories, real-world evidence warehouses and analytical stores.
FHIR R4, HL7 v2 workflows, SMART on FHIR authorization and bridge adapters for legacy healthcare systems.
Full-stack web and mobile products engineered for regulatory scrutiny, rigorous audit trails, reliability and high availability.
A reading that arrives late, attaches to the wrong record or fires an alert nobody reads has no clinical value, however good the device is.
Screens from AI work, with any patient data regenerated as synthetic records.
We deliver healthcare IT solutions across custom software development, AI-powered applications, connected care, remote patient monitoring, data analytics, and healthcare interoperability.
Most projects need several capabilities at once. Monitoring alone can require device work, a data layer, applications and integration. It is easier when one engineering team holds the whole system.
Custom clinical web and mobile applications designed to operate under strict compliance, with granular permission hierarchies and complete audit trails.
Grounded agents for administrative triage, document intelligence and knowledge assistants with strict source citations and human review.
Resilient device-to-cloud ingestion over BLE, MQTT and cellular gateways, buffering readings through connectivity dropouts.
End-to-end telemetry pipelines from home sensors to triage dashboards with escalation thresholds and synthetic data validation harnesses.
High-throughput transformation pipelines, HIPAA de-identification layers and longitudinal patient data models for operational insights.
Translation layers between legacy HL7 v2 feeds and HL7 FHIR R4 resources, enabling EHR bi-directional synchronisation and SMART on FHIR apps.
We partner with teams that need deep healthcare engineering capability without the multi-month ramp-up of educating generalists on clinical systems.
Healthcare organizations choose Pashupatastras for practical engineering expertise, secure system integration, and scalable digital health solutions. The practical reasons clients choose us are backed by our engineering audit trails and production systems.
We don't sell generic wrapper bots. We build constrained, deterministic architectures with retrieval-augmented generation (RAG) grounded in your validated medical and administrative corpora, complete with confidence scoring and escalation paths.
Most healthcare challenges span Bluetooth firmware, cloud ingestion, clinical UI, and EHR integration. We eliminate the coordination cost of managing four separate vendor teams by unifying full-stack engineering under one roof.
We understand edge buffering, lossy cellular connections, Bluetooth pairing edge cases, and battery optimization across continuous medical sensors, ensuring clinical vitals are never dropped in transit.
We do not build retail apps one week and healthcare platforms the next. Our engineers already understand HIPAA, BAA agreements, FHIR R4 schemas, and the clinical reality of alert fatigue.
You speak directly to the architects who write your code, design your database schemas, and deploy your infrastructure. No junior bait-and-switch or layers of non-technical account managers.
We take clinical technology from early MVP validation through to multi-region cloud deployment supporting millions of daily medical telemetry events without architectural rebuilds.
Judgement belongs to people, not companies. These are the people who would be on your project.
The order rarely changes, though the depth of each stage does. A proof of concept and a regulated device platform follow the same route at very different speeds.
We implement zero-trust security perimeters, deterministic guardrails, and cryptographic auditability across every tier of the healthcare infrastructure.
Healthcare data requires uncompromising isolation. Every packet, inference, and transaction is authenticated, authorized, and cryptographically verified at boundaries.
Designed strictly for HIPAA, HITECH, GDPR, and SOC 2 Type II compliance standards with full data sovereignty.
Speak with our healthcare solutions architects to review your requirements, technical compliance, interoperability roadmap, or AI integration goals.
Send an initial inquiry and our clinical tech team will respond within 24 hours.