Healthcare-focused engineering team
Human review at defined points
Designed for HIPAA-regulated environments
Healthcare AI

AI is where we start, not where we finish

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.

Deterministic AI Governance Pipeline

Interactive execution path for clinical AI inference

STAGE 01
USER REQUEST
Direct clinician input or patient intake message with PHI filters.
STAGE 02
APPROVED SOURCES
Clinical protocols, verified guidelines, locked formulary index.
STAGE 03
RETRIEVAL
Semantic vector lookup with strict relevance thresholding.
STAGE 04
REASONING
Domain-constrained model synthesises answer strictly citing sources.
STAGE 05
CONFIDENCE / POLICY
Automated boundary checks and safety policy evaluation.
HIGH CONFIDENCE (>95%)
AUTOMATED ACTION
Audit event logged with source hash
AMBIGUOUS / COMPLEX
HUMAN REVIEW
Escalated to named clinician
Status: User / Clinician Request Received • Live Telemetry Pipeline Policy: Zero-Hallucination Guardrails
01

Patient support automation

Handle routine questions about appointments, preparation, results and billing, using your approved content, with anything unusual passed to a person.

Approved Sources Only
02

Document and referral processing

Referrals, intake forms and scanned correspondence turned into structured data, with low-confidence items sent to a review queue rather than guessed.

Review Queue Route
03

Operational AI agents

Multi-step administrative tasks completed within set permissions: eligibility checks, record updates, status chasing. Every action is logged.

Audit Logged
04

Knowledge assistants

Fast answers from your own policies and protocols, with a citation back to the source document so staff can check the answer.

Source Citations
05

Predictive analysis

Risk patterns, capacity pressure and care gaps surfaced early enough for someone to act on them.

Early Detection
06

Decision support

Relevant information assembled and prioritised so a clinician reaches a decision faster. The decision stays with the clinician.

Human-in-the-Loop
Large language models
Retrieval and grounding
AI agents
Document intelligence
Predictive models
Computer vision
Evaluation and guardrails
Private deployment
AI Governance & Controls
“Every AI system we build carries the same controls: human review at defined points, permissions set per action, answers grounded in approved sources, a full audit log and a named escalation path.”
Human review at defined points
Permissions set per action
Answers grounded in approved sources
Full immutable audit log
Named clinician escalation path
Experience

Our work in numbers

Every figure here is drawn from delivered work and reviewed before publication. Where a number cannot be evidenced, it is not on this page.

12+
Years of combined engineering experience in clinical software & protocols
34+
Digital healthcare products and production services delivered
18
Healthcare and connected care telemetry projects in active deployment
45+
Integrations with medical devices, EHRs and clinical telemetry systems
7
Countries where our production engineering work is actively in use
Healthcare domain expertise

Where We Deliver Healthcare Technology Solutions

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.

Connected Care & IoMT

Connecting devices, data and care teams

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.

Device connectivity Device data ingestion Wearable integration Real-time monitoring Sensor integration Edge processing Alert management Device dashboards Fleet monitoring Device analytics
Engineering Scope & Regulatory Integrity We build the software, data services and applications around connected devices. We are not a regulated medical device manufacturer, and we will tell you early if your project needs a regulatory route rather than an engineering one.
In use

Healthcare AI in practice

Screens from AI work, with any patient data regenerated as synthetic records.

Clinical AI interface in practice
Healthcare data analytics dashboard

Remote patient monitoring interface
EHR FHIR interoperability workflow
What We Build

Everything between the idea and the system in production.

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.

Artificial Intelligence
02

Healthcare AI

Grounded agents for administrative triage, document intelligence and knowledge assistants with strict source citations and human review.

IoMT
03

Healthcare IoT and connected care

Resilient device-to-cloud ingestion over BLE, MQTT and cellular gateways, buffering readings through connectivity dropouts.

Clinical Telemetry
04

Remote patient monitoring

End-to-end telemetry pipelines from home sensors to triage dashboards with escalation thresholds and synthetic data validation harnesses.

Data Systems
05

Healthcare data and analytics

High-throughput transformation pipelines, HIPAA de-identification layers and longitudinal patient data models for operational insights.

Interoperability
06

Interoperability and FHIR

Translation layers between legacy HL7 v2 feeds and HL7 FHIR R4 resources, enabling EHR bi-directional synchronisation and SMART on FHIR apps.

Who We Work With

Founders building the first version. Teams scaling the one that worked.

We partner with teams that need deep healthcare engineering capability without the multi-month ramp-up of educating generalists on clinical systems.

01

HealthTech startups and scaleups

Accelerate time-to-market with production-ready architectures, avoiding regulatory refactors later.
02

Hospitals and healthcare providers

Modernise intake, streamline referral routing, and deploy AI assistants grounded strictly in your clinical protocols.
03

MedTech and connected devices

Build the companion apps, ingestion backends, and EHR interoperability bridges around your medical hardware.
04

Digital health companies

Scale telemetry infrastructure, add automated patient workflows, and ensure cross-platform biometric synchronization.
05

Healthcare organisations in Africa

Resilient digital health architectures engineered for local connectivity conditions and national regulatory frameworks.
06

Researchers, colleges and R&D teams

Turn algorithmic discoveries and clinical trials into validated software and structured research data pipelines.
Why Pashupatastra

Why healthcare organisations work with us

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.

Our People

Real photographs. Verified engineers. Zero stock portraits.

Judgement belongs to people, not companies. These are the people who would be on your project.

How We Work

Six stages, from first conversation to live service

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.

01
Understand
Clinical workflow assessment, data sources mapping, boundary definitions, regulatory risk discovery.
02
Plan
Architecture blueprint, FHIR resource definitions, latency budgets, security perimeter design.
03
Build
Agile implementation sprints, automated test suites, infrastructure-as-code, synthetic test feeds.
04
Test
Vulnerability scanning, penetration audits, edge failure simulation, end-to-end telemetry verification.
05
Launch
Zero-downtime cutover, clinical telemetry verification, telemetry monitoring, failover readiness.
06
Support & improve
Continuous monitoring, model drift evaluation, security patching, clinical capacity scaling.
Product engineering team Dedicated healthcare engineering team AI proof of concept MVP engagement Fixed-scope project Modernisation Long-term support
Security & Responsible AI

Defense-in-depth engineering built for clinical trust.

We implement zero-trust security perimeters, deterministic guardrails, and cryptographic auditability across every tier of the healthcare infrastructure.

Zero-Trust Architecture

Security is an invariant, not a feature.

Healthcare data requires uncompromising isolation. Every packet, inference, and transaction is authenticated, authorized, and cryptographically verified at boundaries.

Regulatory Compliance & Integrity

Designed strictly for HIPAA, HITECH, GDPR, and SOC 2 Type II compliance standards with full data sovereignty.

Defense-In-Depth Security Layers Active Policy
01
Edge & Transport Encryption TLS 1.3, mTLS device authentication, and encrypted BLE telemetry pipelines.
02
Identity & Access Governance Granular RBAC/ABAC, SMART on FHIR OAuth2, and multi-factor clinical federated auth.
03
Data De-Identification & Enclaves Safe Harbor / Expert Determination PHI scrubbing before inference or analytical storage.
04
Deterministic Guardrails & Audit Immutable append-only audit trail with cryptographic source verification hashes.
● PASHUPATASTRAS COLLABORATION

Build healthcare technology with the right team.

Speak with our healthcare solutions architects to review your requirements, technical compliance, interoperability roadmap, or AI integration goals.

✓ HIPAA & GDPR Compliant ✓ Direct Engineering Access

Discuss Your Project

Send an initial inquiry and our clinical tech team will respond within 24 hours.