Building India’s Clinical Intelligence Layer
India generates one of the largest volumes of clinical data in the world — but most of it remains unstructured and unusable. We’re building an India-native clinical intelligence layer embedded across healthcare systems, designed to capture, structure, and learn from real-world consultations at scale. By turning everyday clinical interactions into structured intelligence, we enable better decision-making, stronger continuity of care, and a system that continuously learns from itself. Built for the realities of Indian healthcare — high volume, multilingual, and unstructured — our goal is to create the intelligence backbone that healthcare systems can rely on.
Building the Intelligence Infrastructure for Clinical Practice
We are building an intelligence layer that transforms doctor–patient interactions into structured clinical knowledge.
By capturing consultation context in real time, organising clinical signals through deterministic systems, and embedding this within everyday clinical workflows, we enable the continuous generation of reliable, structured data at scale.
This foundation supports the creation of longitudinal patient records — not as an afterthought, but as a natural outcome of care delivery.
Over time, this becomes the underlying infrastructure through which clinical intelligence compounds, improving decision-making, continuity of care, and system-wide outcomes.
Core Values
Principles that shape every decision, every feature, and every interaction in our clinical ecosystem.
Technology must adapt to how doctors practice medicine, not the other way around.
Physician First
Human Oversight
All outputs remain editable and require physician approval before becoming part of the clinical record.
Built for India
Systems are designed for multilingual consultations, high patient volumes, and India specific healthcare workflows.
Context Awareness
Clinical intelligence must understand language, regional epidemiology, and local healthcare realities
Privacy & Security
Patient data is protected through strong encryption, secure infrastructure, and regulatory compliance
Healthcare Challenges Qortexa Addresses
Healthcare data generated in India must remain protected within secure infrastructure aligned with Indian regulations — not stored on foreign servers. The DPDP Act 2023 is unambiguous: patient data belongs to India.
Most ambient documentation tools are built for English consultations and struggle with mixed-language clinical conversations common in India.
22
Indian languages supported natively
80%
Clinical data remains unstructured & unsecured
High patient volumes and growing documentation requirements reduce time available for patient care.
Critical clinical context often exists only in doctor-patient interactions and never becomes structured medical data.
Clinics and hospitals rely on multiple disconnected systems for documentation, analytics, and workflow management.
Healthcare data generated in India must remain protected within secure infrastructure aligned with Indian regulations.
“Healthcare is not a system that yields to abstraction. It is an accumulation of constraints — clinical, human, and temporal — that resist simplification. It does not conform to externally imposed design; it reveals itself only through immersion. And the only systems that endure within it are those built with an intimate understanding of how care actually unfolds.“
Dr. Sravya Muddu, Founder & CEO of Akrys is a Doctor that is building the intelligence infrastructure layer for clinical practice.
She began her medical journey on the neurosurgical track, where decision-making depends heavily on precise clinical context, longitudinal history, and the ability to interpret subtle signals over time. This early exposure shaped her understanding of how critical structured, high-fidelity data is to clinical outcomes.
Moving into high-volume outpatient settings, she encountered the opposite end of the spectrum — fast-paced, multilingual, and largely unstructured care environments where most clinical context exists only within conversations and is rarely captured beyond minimal documentation.
This contrast led to a clear thesis: the limitation in healthcare is not the lack of intelligence, but the lack of structured input. Existing systems attempt to build intelligence on incomplete or post-processed data, rather than capturing it at the point of care.
Akrys is built to address this gap — by embedding directly into clinical workflows, capturing consultations as they naturally occur, and converting them into structured, longitudinal patient records. Over time, this creates an intelligence layer that compounds with use, enabling better decision-making, continuity of care, and system-level learning.
Her work focuses on building infrastructure that aligns with how healthcare actually operates — not idealised workflows, but real-world clinical environments at scale.
Dr. Sravya Muddu
Founder & CEO, Qortexa
“Every sector has its inflection point. In healthcare, that moment emerges as AI and advancing technologies begin to align with the realities of care. It is this convergence that makes meaningful systems possible — and given the scale of the system, it may represent one of the largest transformations still ahead of us.“
Vinay Prasad R is an angel investor with over two decades of experience shaped by early exposure to execution-driven environments and long-term involvement across multiple sectors.
He began his career immediately after college, building a foundation through hands-on work in the events industry — an experience that shaped his approach to operating under pressure, navigating uncertainty, and delivering outcomes in dynamic environments. Alongside this, he was actively involved in the management of an NGO that continues to operate today, contributing to its continuity and long-term impact.
Over the years, his work evolved across real estate and emerging asset classes, where he developed a strong instinct for recognising early-stage opportunities and operating in environments without clearly defined structures.
Today, his focus is on early-stage investing — backing founders at the point where clarity is limited but potential is high. His perspective is shaped less by conventional frameworks and more by experience, pattern recognition, and long-term conviction.
Vinay Prasad R
Angel Investor, Qortexa
Experience Clinical Intelligence in Action — Built for Indian Healthcare
See how Qortexa captures doctor–patient consultations and transforms them into structured clinical notes, provides real-time insights, and AI-assisted decision support — ready for your quick review.
Watch how clinical workflows become faster, clearer, and more structured in practice.