AI Agents Are Too Slow.
We Make Them Fast.

Context Router eliminates data access bottlenecks in real-time AI agent workflows. Agents respond instantly. Multi-system queries complete in under a second.

One intelligent caching layer replaces dozens of slow tool calls. Your agents access distributed data sources through a single unified interface—without the wait.

Context Router Performance Dashboard

Built on award-winning distributed systems research from University of Toronto

UofT
Best Edge Computing Paper
IEEE SEC Conference

The Problem

Slow Data Access Kills Real-Time AI Agent Performance

Real-time AI agents need sub-second response times. But when each tool call takes hundreds of milliseconds, your agents can barely access 2-3 systems before users notice the delay.

Every API Call Costs Time

Database queries, API lookups, SaaS data fetches—each burns hundreds of milliseconds. By the time your agent accesses 3-4 systems, response times exceed user expectations.

Orchestration Adds Overhead

Agents waste time reasoning about which tools to call, in what order, with which parameters. This coordination tax limits what agents can accomplish in real-time.

Real-Time Systems Demand Speed

Every 100ms of delay degrades user experience and system performance. Slow agents feel unresponsive even when they're working—users and downstream systems won't tolerate laggy interactions.

The Solution

Context Router: One Fast Call Instead of Many Slow Ones

An intelligent caching layer that sits between your agents and your data sources. Instead of calling dozens of different tools, your agent calls Context Router once—and gets everything back instantly.

Unified Data Access

Connect PostgreSQL, MongoDB, Salesforce, Gmail, Slack—all through one interface. Context Router handles authentication, rate limits, and API differences.

Many tool calls → 1 Context Router call

Intelligent Caching

Context Router learns your access patterns and pre-fetches frequently requested data. Common queries return from cache in milliseconds.

High cache hit rates for common workflows

Zero Orchestration Overhead

Context Router handles parallel fetching and data merging internally. Your agent doesn't waste time reasoning about tool coordination.

Automatic parallel execution and merging

Integrates with your data sources

CockroachDB
MySQL
PostgreSQL
MongoDB
Salesforce
Gmail
Slack
HubSpot
Notion

How Context Router Works

Deploy in minutes. Your agents get instant data access from day one.

1

Connect Your Data Sources

Point Context Router to your databases, SaaS tools, and APIs. One-click OAuth integrations, no custom connectors required.

2

Query Through One Interface

Your agent calls Context Router with queries. Context Router fetches from all sources in parallel and returns unified results instantly.

3

Get Real-Time Responses

Context Router automatically caches frequently accessed data and eliminates orchestration overhead. Your agents spend their time reasoning, not waiting.

Proven Performance

Real benchmark data from production workloads accessing distributed data sources. Context Router delivers 2-3× faster response times compared to direct API calls.

2-3×

Faster Response Times

Customer workflows complete 2-3× faster with Context Router compared to direct API calls and traditional tool orchestration.

<1s

Multi-System Queries

Access data from 3+ distributed systems in under a second through intelligent caching and parallel fetching.

Zero

Orchestration Tax

Context Router eliminates the time agents waste coordinating tool calls. Just query once, get unified results instantly.

Deploy Real-Time AI Agents Without the Wait

Context Router is in alpha with early design partners. Join teams building production AI agents that need fast access to distributed data sources.

Alpha release. Context Router available now for design partners. Python SDK and REST API ready to deploy.