From building models to solutions that work outside the lab. AI-powered programmes that put real tools in students' hands — and clinical research that reaches hospitals where it's needed most.
In Sanskrit, Prajña (प्रज्ञा) means wisdom, insight, and discernment — not knowledge as information, but knowledge as understanding. It is the capacity to perceive clearly, reason deeply, and act well.
The iX suffix brings in systems thinking and network intelligence — the computational layer through which that wisdom is amplified, distributed, and made accessible at scale. AI in service of Prajña, not in place of it.
न हि ज्ञानेन सदृशं
पवित्रमिह विद्यते।
na hi jñānena sadṛśaṁ
pavitramīha vidyate
"There is nothing in this world as purifying as wisdom."
This is the principle we return to when designing every product — AI that cultivates wisdom in the learner and the clinician, not one that replaces it.
"To become a leading research-driven innovation lab that creates intelligent, ethical, and accessible solutions to improve human life."
We don't build AI for AI's sake. Every model we train, every programme we run, every paper we publish is evaluated against a single question: does it make a meaningful difference in someone's life — a student in Kanpur, a patient in a district hospital, a school child in a Tier-2 city?
Our core team brings together expertise in ML research, clinical AI, systems engineering, and adult education design.
PhD from University of Lucknow (Financial AI). 5 years in financial and healthcare ML research. Former research scientist at TCS.
Each platform serves a different stage of the learner's journey — with the same research-first DNA.
Mentored internships for university students — real projects, weekly progress tracking, milestone sign-offs, and verifiable certificates employers can check.
Explore Praxis →AI hackathons and ideathons for universities — a guided 3-phase journey from raw problem to working prototype, with Sage AI mentoring every team.
Explore Studio →Entrepreneurship and innovation for school students in grades 7–12 — every learner takes a real-world idea to a deployed prototype they can show.
Explore Campus →Our research team published a deep-learning framework for early laryngeal cancer detection in Springer, 2026. The classifier distinguishes eight clinically distinct classes from CE-NBI imaging — far beyond binary benign/malignant systems.
Designed for low-memory hardware — bringing advanced diagnostics within reach of district hospitals, not just tertiary centres. Covered by Times of India, Dainik Jagran, Hindustan, and more.
Read the research →These aren't aspirational statements on a wall — they're engineering constraints we apply to every model, programme, and product we ship.
We never publish claims we haven't validated. Every model accuracy number comes from independent test sets with published methodology.
Every AI tool we build uses a Socratic approach — questions and nudges over direct answers. Real learning happens in the struggle, not the shortcut.
Our models are trained on Indian patient data, our courses are priced for Indian learners, and our products are designed for Indian infrastructure realities.
Privacy, fairness, and consent are baked in at the design stage — not as compliance checkboxes, but as genuine engineering constraints.
We believe AI education is a public good. We offer free audits on beginner courses and scholarships for economically disadvantaged students.
We deploy early, measure relentlessly, and improve continuously. Real-world feedback beats theoretical perfection every time.
We're looking for people who care about the rigour of research and the reality of deployment — and for institutional partners, clinical collaborators, and student cohorts ready to build something meaningful.