We bridge cutting-edge distributed systems research with enterprise AI deployment, enabling agents that access data accurately and securely across all your systems.

VantEdge Labs emerged from a critical observation in enterprise AI deployment: organizations were investing heavily in AI agents, but most deployments failed to move to production because of fundamental challenges around data accuracy, security, and compliance.
Our founding team, deeply rooted in distributed systems research at the University of Toronto, witnessed firsthand how companies were struggling with AI agents that couldn't reliably access organizational data. Agents would hallucinate when they couldn't find the right information. Security teams blocked deployments because sensitive data was being exposed to LLMs. Compliance officers rejected projects that couldn't demonstrate proper data governance.
The breakthrough insight came from our research: enterprise AI agents need an intelligent data layer that sits between the agent and enterprise systems—one that ensures accurate data retrieval, enforces unified security policies, and keeps sensitive information protected.
VantEdge was built to solve these fundamental enterprise challenges. Instead of forcing companies to accept inaccurate queries or build complex security infrastructure themselves, we created Context Router—an intelligent data access layer that delivers accurate retrieval across databases, APIs, and SaaS tools while maintaining enterprise-grade security and compliance.
Context Router is founded on three core principles derived from PhD research in distributed systems:
Today, VantEdge serves enterprise teams in manufacturing, transportation, and logistics—industries where data accuracy, security, and compliance are non-negotiable.

CEO, Co-Founder
PhD in Computer Science at University of Toronto, specializing in distributed systems and edge computing
7 years building low-latency stream processing systems for AI applications
Author of Falcon: Best Edge Computing Paper award at IEEE SEC Conference

CTO, Co-Founder
Final-year Computer Science student at University of Toronto
5-time hackathon winner including Hack the North and Cohere office
Creator of open-source tools with 1000+ daily active users

Chief Scientist, Co-Founder
Chair of Computer Science at University of Toronto
Pioneer in edge computing and distributed systems with EuroSys Test of Time Award
Founded GridCentric (VM Fork technology) successfully acquired by Google
Join enterprise teams building production AI agents with accurate data access, unified security, and full compliance controls.