SwasthyaIQ builds foundational digital systems that bring structure, consistency, and clarity to fragmented healthcare processes — without compromising the human dimension of medicine.
A healthcare technology organisation designing algorithmic frameworks that bring uniformity and accountability to complex, fragmented healthcare activities.
In markets like India — where healthcare delivery spans an enormous range of providers, capabilities, and infrastructure — consistency is both a clinical and operational imperative.
SwasthyaIQ enables that consistency without compromising privacy, medical context, or the empathy that defines good care. We work at the intersection of structured data, algorithmic logic, and healthcare domain expertise.
Our systems are designed to be auditable, interoperable, and sensitive to the deeply personal nature of health information.
We identify repetitive, error-prone healthcare workflows and transform them into auditable digital systems using structured data and algorithmic modelling.
Healthcare data is among the most personal information a person holds. We treat it accordingly — at every layer of every system we build.
Purpose-built tools that address specific inefficiencies in the diagnostic and clinical reporting pipeline.
A standardised, algorithmic approach to diagnostic reporting that improves clarity, consistency, and trust — for both clinicians interpreting results and patients who need to understand them.
By applying deterministic rules to report generation, we eliminate the ambiguity that leads to misinterpretation, follow-up errors, and downstream delays in care.
Complete technical documentation covering request formats, response schemas, authentication flows, error handling, and integration patterns for the Smart Health Report API.
View API Documentation (PDF)Pathology reports are heterogeneous by nature — varying layouts, inconsistent formatting, scanned documents with alignment irregularities, and legacy print artefacts. XtractXpert is a fully proprietary, end-to-end extraction engine that identifies and isolates structured clinical parameters — such as RBC count, platelet levels, liver enzymes, and the full spectrum of haematology and biochemistry markers — regardless of format or scan quality.
Built entirely in-house and independent of any third-party API or external service, XtractXpert is engineered on a continuous improvement model. Accuracy advances iteratively with every release, underpinned by rigorous validation against real-world report variability. Our long-term objective is unambiguous: to be the world's foremost system in pathology parameter extraction.
Developed entirely in-house, XtractXpert operates without reliance on any third-party AI or extraction service, giving us complete control over accuracy, reliability, and confidentiality at every step.
XtractXpert is engineered with security woven into every layer of the pipeline. Documents are processed on dedicated servers that retain no persistent copy of your data — decrypted content exists only in memory during active processing and is cleared the moment extraction completes. Three independent systems work in concert to safeguard each document: encrypted storage, isolated key management, and ephemeral processing — each one a meaningful barrier in its own right. Every cryptographic operation is recorded with timestamp, identity, and key reference, giving you a complete and auditable record of how your data is handled.
By default, all input documents are permanently deleted after extraction. Integrators may opt in via an API flag to permit retention of submitted reports solely for model improvement. This is entirely voluntary and never the default behaviour.
Retained documents undergo manual PII masking within our internal software framework before any use in training pipelines.
Access to retained data is governed by strict internal controls, restricted to authorised personnel within the improvement programme.
Opting in directly contributes to higher extraction accuracy in subsequent releases — benefiting the broader integrator ecosystem.
Built by practitioners who have worked closely with the realities of Indian healthcare — not around them.
Ravikiran has a natural ability to understand people — what motivates them, what holds them back, and where they fit best within an organisation. With experience across multiple healthcare organisations, he has developed a sharp understanding of the industry's complexities, having directly addressed pain points across the healthcare landscape and negotiated with stakeholders at the highest levels, including C-suite executives at leading global technology companies. He approaches client relationships, pricing, and negotiations with a collaborative mindset, always steering toward outcomes that work for both sides. Grounded in the real dynamics of Indian healthcare rather than textbook approaches, he keeps solutions practical, processes streamlined, and results measurable.
Punnoose is methodical and focused, with a tendency to dig into how things work at a fundamental level. He applies a rigorous approach to problem-solving and is known for the persistence he brings to his work. He also carries a quiet curiosity about larger patterns — in technology, in systems, and in the world broadly.
Whether you're an integrator, a healthcare provider, or simply curious about our work — we'd love to hear from you.
Drop us a note and we'll get back to you. Whether it's feedback, a partnership inquiry, or a question about our products, your message reaches our team directly.