Making Enterprise AI Agents Reliable

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

Enterprise AI Infrastructure

Our Story

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:

  1. Data Retrieval Accuracy: Configure tribal knowledge, collect live metadata, and bring query engine capabilities to systems that lack them—ensuring your agents get the right data, every time.
  2. Unified Security Model: One security policy governs all data access—whether from databases, internal APIs, or third-party SaaS—simplifying compliance and reducing attack surface.
  3. Data Privacy by Design: Sensitive data stays inside the router, with in-place processing and strict data residency controls. PII never reaches the agent—only insights do.

Today, VantEdge serves enterprise teams in manufacturing, transportation, and logistics—industries where data accuracy, security, and compliance are non-negotiable.

Meet Our Founders

Brian Ramprasad

Brian Ramprasad

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

Rudraksh Monga

Rudraksh Monga

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

Eyal de Lara

Eyal de Lara

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

Why We Built VantEdge

For AI Engineering Teams

  • Accurate Data Retrieval: Stop agents from hallucinating with tribal knowledge configuration and live metadata that ensures correct query results
  • Universal Query Engine: Query SaaS tools and APIs like databases—search Slack, filter Salesforce, access any system the same way
  • Time Travel Queries: Query historical data states with datetime parameters—answer "what did inventory look like last Tuesday?"
  • Simpler Agents: Let agents focus on tasks while Context Router handles complex data retrieval—simpler code, easier maintenance

For Enterprise Leaders

  • Unified Security: One security policy across all data sources—databases, APIs, and SaaS tools—reducing complexity and attack surface
  • PII Protection: Sensitive data stays inside Context Router—agents receive insights, never raw PII or confidential information
  • Data Residency: In-place processing with strict geographic controls ensures compliance with regional data regulations
  • Complete Audit Trail: Every query logged for compliance reviews—ready for SOC 2, GDPR, HIPAA, and CCPA requirements

Ready to Build Reliable Enterprise Agents?

Join enterprise teams building production AI agents with accurate data access, unified security, and full compliance controls.