Modern Relay provides a governed context graph that lets enterprises define a shared ontology for AI agents, human teams, and legacy systems.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to coordinate AI agents, human teams, and legacy systems because data resides in disparate silos and lacks a unified, governed structure, leading to integration delays, inconsistent decision-making, and limited traceability.
Solution
Modern Relay offers a governed context graph that creates a shared ontology for agents, teams, and enterprise applications. By modeling domain entities, relationships, and governance rules in code, the platform ensures type‑checked, versioned knowledge before data enters the graph. The graph integrates with existing ERP, CRM, data warehouses, and AI agent frameworks, enabling rapid deployment of coordinated AI workflows. Changes to the graph are tracked and decisions are traceable, providing immediate operational value while maintaining governance and compliance. Organizations can launch a production workflow within weeks, leveraging their own infrastructure and existing systems.
Target Audience
Target customers are large enterprises and mid‑market organizations that operate complex AI agent ecosystems and need to integrate them with existing business systems while enforcing governance.
Features
- Code‑first ontology definition with compile‑time type checking for entities, relationships, and governance policies
- Seamless connectors for ERP, CRM, data warehouses, and AI agent platforms to synchronize state with the context graph
- Versioned, auditable graph state that records every change and decision for traceability and compliance
- Rapid onboarding workflow that delivers a live, governed AI coordination pipeline in weeks
- Deployment on customer‑owned infrastructure, ensuring data residency and security control