Making Voice Agents Fast
We bridge cutting-edge distributed systems research with enterprise AI deployment, enabling voice agents that respond in real-time through intelligent caching and zero orchestration overhead.
Our Story
VantEdge Labs emerged from a critical observation in AI deployment: organizations were investing heavily in voice agents and real-time AI applications, but most deployments failed to deliver acceptable performance because of fundamental data access limitations.
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 access organizational data fast enough. Customer support voice agents needed ticket history during live calls, but each tool call burned hundreds of milliseconds. By the time agents retrieved context, the conversation had moved on—creating awkward pauses that destroyed the user experience.
The breakthrough insight came from our research on stateful stream processing and intelligent caching: real-time AI systems need intelligent caching layers that eliminate orchestration overhead and reduce tool call latency—not just faster APIs.
VantEdge was built to solve this fundamental data access problem. Instead of forcing companies to accept slow tool calls or build complex caching infrastructure themselves, we created Context Router—an intelligent caching layer that replaces dozens of slow tool calls with one fast query, while maintaining unified access to heterogeneous data sources across PostgreSQL, MongoDB, Salesforce, Gmail, and more.
Context Router is founded on three core principles derived from PhD research in distributed systems:
- Unified Data Access: One interface to access PostgreSQL, MongoDB, Salesforce, Gmail, Slack—eliminating the need for dozens of separate tool calls.
- Intelligent Caching: Learn access patterns and pre-fetch frequently requested data, returning common queries in milliseconds instead of hundreds of milliseconds.
- Zero Orchestration Overhead: Handle parallel fetching and data merging internally, eliminating the coordination tax that wastes precious milliseconds.
Today, VantEdge serves teams building real-time voice agents for customer support, healthcare, and sales—use cases where milliseconds matter and traditional cloud-only solutions simply don't work.
Meet Our Founders
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
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
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
- Real-Time Data Access: Enable natural voice conversations without awkward pauses while agents wait for data
- Days Not Months: Deploy voice agents in days with one-click data integrations, not months of custom infrastructure work
- Intelligent Caching: High cache hit rates for common queries—greetings, FAQs, customer lookups return in milliseconds
- Unified Interface: Single SQL interface to PostgreSQL, MongoDB, Salesforce, Gmail, Slack—no data silos
For Technical Leaders
- PhD-Level Research: Built on placement optimization and stream processing research from University of Toronto
- Proven Performance: Over 2× faster than direct API calls with 67% reduction in data access latency
- Enterprise Governance: ACID properties, audit trails, and compliance controls built-in for HIPAA and SOC 2
- Multi-Cloud Support: Deploy across AWS, GCP, Azure, and on-premise—no vendor lock-in
Built on Award-Winning Research
Context Router is built on distributed systems research recognized as the Best Edge Computing Paper at the IEEE SEC Conference
Ready to Deploy Fast Voice Agents?
Join teams building production voice agents with real-time data access. Currently in alpha—early access available.