Our Published Research Work

MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System

As Agentic AI gain mainstream adoption, the industry invests heavily in model capabilities, achieving rapid leaps in reasoning and quality.........

Read Paper

Our Open Research Work

We’re exploring future-facing problems in AI and looking for collaborators, contributors, and curious minds to be part of the journey. Let’s build what’s next—together. It will be open sourced.

Research Area
High‑Level Focus
Legacy Modernization
Reimagining outdated enterprise systems by infusing them with modern AI capabilities—making them more adaptive, intelligent, and future-ready without full rebuilds.
MCP Router
Exploring the development of a modular routing layer that enables AI models to interact seamlessly with diverse tools and data sources via the Model Context Protocol (MCP), facilitating context-aware and interoperable AI applications.
Neuro‑Symbolic Multi‑Agent Autonomy
Investigating how teams of AI agents can blend deep‑learning intuition with symbolic reasoning to deliver safer, fully explainable automation in complex, regulated domains.