01
Clinical AI & workflow automation
Assistive experiences for documentation, summarisation, triage support and operational workflows—with human review, traceability and defined boundaries.
Clinician-first health technology
Technology that gives clinicians time back.
We design secure, interoperable digital health products around the realities of care—so doctors can see what matters, act with confidence and stay present with patients.
- Less administrative friction
- Connected clinical data
- Responsible AI by design
Clinical context firstWorkflows before features
Open by architectureFHIR and API-ready thinking
Human oversightExplainable, reviewable decisions
Built to endureQuality across the lifecycle
What we do
Digital health capabilities built around care.
From a focused clinical workflow to an enterprise platform, we connect product strategy, experience design, engineering and quality in one delivery model.
02
Interoperability & health data
Connected data foundations that make information useful at the point of care, using standards-led integration and consent-aware exchange.
03
Virtual care & remote monitoring
Hybrid-care experiences that help clinical teams review signals, manage exceptions and coordinate timely follow-up without adding alert fatigue.
04
Medical software engineering
Dependable product engineering for clinical applications, connected devices and software-enabled care—from architecture to production readiness.
05
Patient & clinician experience
Clear, accessible journeys for appointments, communication, education and shared decisions—designed to reduce cognitive and administrative load.
06
Quality, safety & cybersecurity
Risk-based quality engineering, security testing and lifecycle observability for digital health systems where reliability and trust are non-negotiable.
Designed with doctors in mind
Care is complex. The interface should not be.
A useful health product respects clinical attention. We simplify the path from information to action while keeping professional judgement in control.
Bring us a difficult workflowSee the patient story
Surface the right context at the right moment instead of adding another disconnected screen.
Reduce clicks and repetition
Remove avoidable data entry, duplicate work and navigation that interrupts the clinical encounter.
Make AI reviewable
Show source context, uncertainty and next-step choices so assistance remains accountable.
Design for real conditions
Validate for busy clinics, variable connectivity, diverse teams, accessibility and high-consequence moments.
Who we work with
One health ecosystem. Different paths to impact.
Modernise clinical and operational journeys across connected care environments.
Create focused tools that fit specialty workflows and support continuity of care.
Move from validated problem to dependable product with healthcare-native engineering.
Connect devices, data and clinical users through trustworthy software experiences.
How we work
Clinical intent, carried through delivery.
We make risk, evidence and adoption part of product development—not final-stage checks.
- 01
Understand care
Map the people, decisions, constraints and data behind the workflow.
- 02
Design together
Prototype with clinicians and translate insight into a testable product direction.
- 03
Engineer responsibly
Build privacy, interoperability, observability and human oversight into the architecture.
- 04
Validate in context
Test usability, safety assumptions, performance and operational fit before scale.
Health-tech outlook
The shifts shaping digital care now.
Our current point of view is grounded in signals from global health, regulators and open health-data initiatives.
Responsible AI
From AI features to governed clinical systems
Health AI is moving toward lifecycle management: defined use, human oversight, representative evaluation and monitoring after release.
FDA perspectiveInteroperability
Open data exchange becomes core infrastructure
FHIR-based APIs and national digital-health rails are making consent-aware, connected records foundational to new care experiences.
FHIR overviewHybrid care
Virtual care shifts from visit to continuous pathway
Telehealth, remote monitoring and coordinated follow-up are converging into longitudinal experiences for clinicians and patients.
WHO digital interventionsTrust
Data governance becomes a clinical capability
Privacy, provenance, quality and security are essential for trusted digital health—especially as AI increases how data is reused.
WHO governance briefBuilt for India. Ready for connected care.
ABDM-aware product thinking
We account for India’s evolving digital health ecosystem—including interoperable records, healthcare professional and facility registries, consent-led exchange and inclusive access.
Explore ABDMWho we are
Thoughtful engineering for better care.
Dhyayi HealthTech brings clinical empathy and engineering discipline to digital health. We work at the intersection of care delivery, data and product technology—where good decisions depend on understanding all three.
Our role is to help teams turn a meaningful healthcare problem into a usable, dependable and responsible digital product.
Start a conversation
What clinical challenge should technology solve next?
Tell us about the workflow, product or platform you want to improve. We’ll begin with the clinical problem—not a predetermined solution.
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