We build specialized AI for automated education and high-fidelity robotics simulation. Bridging the gap between theoretical policy and real-world application.
Grading subjective answers is the biggest bottleneck in education. Our Co-Grader isn't just a keyword matcher—it's a semantic engine that understands context, reads handwriting, and provides faculty-level feedback.
Automate the bulk of grading while keeping humans in the loop for final approval.
Standardized, rubric-aligned scoring ensures every student gets a fair evaluation.
Advanced vision models digitize and interpret messy handwritten exam papers.
Identify class-wide learning gaps instantly with granular concept-level reports.
A high-fidelity physics simulator designed for Reinforcement Learning agents. Create complex 3D environments where robots learn interaction policies before deployment in the real world.
We are pioneering a novel approach to robotic control that combines the adaptability of Deep Reinforcement Learning with the safety and interpretability of Symbolic Logic.
Real results from our training programs and R&D internships.
"Through rigorous mentorship and deeptech exposure, our mentees have achieved top ranks, including AIR 11 in GATE (CS)."
"Our collaborative research initiatives have led to 3+ research papers being accepted at top-tier international AI conferences."
"Bridging theory and practice, our cohorts have built 2 full-scale physical AI demos, deploying policies from sim to real hardware."