Labs is our structured R&D practice. We prototype high-risk ideas, validate them against real constraints, and graduate the ones that hold up into production systems.
Personalized learning experiences powered by adaptive AI — dropout prediction, automated question generation, and engagement analytics for coaching institutes.
Intelligent diagnostic support and predictive health analytics designed to flag early-stage risk and reduce clinical overhead without replacing physician judgement.
Sovereign AI infrastructure built for Indic languages, regional regulatory requirements, and India-specific data sovereignty needs.
Tracks graduate to production when validated against real-world constraints. Last updated June 2025.
Research Focus
We don't chase every trend. These are the four areas where we see compounding returns from sustained, disciplined experimentation.
Moving beyond demos — integrating LLMs, embeddings, and ML pipelines into production-grade workflows with real reliability constraints.
Fine-tuning and evaluating models for vertical markets where general-purpose AI consistently underperforms against bespoke alternatives.
Building developer utilities and internal frameworks that we publish when they prove useful beyond our own stack.
Stress-testing multi-tenant SaaS patterns, edge delivery, and real-time data pipelines at the scale where assumptions break.
Experiments
Each track starts with a clear hypothesis. We run structured experiments, measure real outcomes, and either graduate or retire the idea — no zombie projects.
Personalized learning experiences powered by adaptive AI — dropout prediction, automated question generation, and engagement analytics for coaching institutes.
Intelligent diagnostic support and predictive health analytics designed to flag early-stage risk and reduce clinical overhead without replacing physician judgement.
Sovereign AI infrastructure built for Indic languages, regional regulatory requirements, and India-specific data sovereignty needs.
We work with researchers, domain experts, and engineers who bring real-world constraints to open problems. If that sounds like you, let's talk.