Praverse is research-backed and product-oriented. We don't publish for its own sake — every research track exists to feed a domain, and every domain exists to put research into the market.
Deep learning for healthcare imaging — screening-support pipelines for ophthalmology, women's health, and diagnostic imaging, designed to assist (not replace) expert review.
FDA 483 response generation, observation analytics, and document intelligence for GMP environments — evidence-grounded by design.
Real-time inference on constrained hardware and privacy-preserving distributed training — the foundation for kiosks, wearables, and on-site AI.
Digital twins and simulation environments for assistive robotics — testing behavior safely before it ever touches the physical world.
Our applied work is anchored in published science — IEEE, Scopus-indexed conferences, and international journals.
A novel convolutional neural network architecture for the automated detection and grading of DME, achieving 98% accuracy. Designed as a screening-support tool to assist ophthalmologists — not replace them.
A lightweight, deployable edge AI system for screening multiple eye diseases, designed for rural healthcare camps. NLP + Twilio-powered assistant for ophthalmic screening under constrained hardware and limited connectivity.
Demonstrates the effectiveness of the NEAT algorithm for training agents in complex, multi-objective autonomous driving scenarios in simulation — a foundation for humanoid navigation research.
We organize research by domain, not by project — each track matures from early-stage research into an applied, deployable system.
Computer vision research for healthcare screening and industrial inspection.
Published ResearchCompliance automation and document intelligence for regulated industries.
In DeploymentPrivacy-preserving distributed training and real-time edge inference.
Applied ResearchAssistive robotics research — digital twins, simulation, human-machine interaction.
Patent-PendingConnected sensing and real-time decision systems for industrial environments.
ActiveAudit-ready financial automation and decision-support research.
ActiveEarly-stage research into biochips and biological signal intelligence.
Early-Stage ResearchPhotonic sensing and optical intelligence for next-generation compute.
Early-Stage ResearchPeer-reviewed work in healthcare imaging and edge AI lays the groundwork for applied systems.
Imaging and screening-support research matures into deployable lab prototypes.
HealthMate and pharma regulatory AI move from research into active product development.
Biochip research and expanded federated-AI tracks begin incubation.
Projected unification — research, products, and platforms working as one intelligence fabric. Photonics research track opens.
We welcome collaboration, mentorship, and innovation submissions. If it advances human-centered intelligence, we want to hear it.
