As companies rapidly adopt AI agents across departments, a new challenge is emerging, not the capability of the models themselves, but the lack of shared organisational context that allows these systems to work together effectively. Modern Relay is addressing this gap with a $3 million funding round aimed at building a foundational layer for enterprise AI coordination.
Backing from Leading Investors
The round includes support from Point Nine, Emerge, Amino Collective, and Common Magic, along with notable angel investors such as Charlie Songhurst, Michael Boehler, and Thomas Clozel.
This mix of investors reflects growing interest in infrastructure solutions that enable AI to function effectively within complex organisational environments.
The Problem of Fragmented Context
While AI agents are increasingly being used to draft research, write code, and manage operational tasks, they often struggle when workflows span multiple departments. The root of the problem lies in fragmented organisational knowledge, which is typically spread across documents, messaging platforms, databases, and undocumented processes.
Without a unified system, each department tends to automate tasks independently, leading to inefficiencies and inconsistencies. This fragmentation limits the potential of AI to deliver meaningful productivity gains at scale.
Building a Shared Operational Layer
Modern Relay is developing a platform that acts as a shared foundation for organisational knowledge and workflows. The system integrates information about people, policies, data, and decisions into a single layer that both humans and AI agents can access.
This unified approach allows organisations to route information more effectively, ensuring that the right data reaches the right person or system at the right time. It also introduces governance mechanisms that control how changes are made, who approves them, and how processes evolve.
By aligning teams and software around a shared understanding of how the organisation operates, the platform aims to reduce fragmentation and improve coordination.
Enabling AI Agents to Work Together
The company’s vision is centred on a future where organisations rely on multiple AI agents across functions. In this environment, coordination becomes critical. Without a common framework, the proliferation of agents could lead to more complexity rather than efficiency.
Modern Relay’s infrastructure is designed to ensure that agents operate within a consistent context, enabling them to collaborate and execute tasks more effectively. This approach transforms AI from isolated tools into integrated components of organisational workflows.
Launch of Open Source Omnigraph
As part of its initial product rollout, Modern Relay has introduced Omnigraph, an open source graph database inspired by version control systems. The platform allows both humans and AI agents to create branches, propose changes, and merge approved updates into a central knowledge graph.
This Git style approach enables parallel workstreams while maintaining a single source of truth, ensuring that updates are tracked, validated, and integrated systematically.
Omnigraph is designed specifically for environments where AI agents play a central role, providing the infrastructure needed to manage complex, evolving workflows.
A New Layer for Enterprise AI
Founded in 2025 by Ragnor Comerford and Aaron Goh, the company operates from San Francisco and Barcelona. Its approach reflects a broader shift in the AI landscape, where the focus is moving from model development to the systems that enable practical deployment.
By allowing organisations to maintain control over their own infrastructure, Modern Relay also addresses concerns around data ownership and security, ensuring that critical operational knowledge remains within the company.
Shaping the Future of Work
As AI becomes deeply embedded in enterprise operations, the need for robust organisational infrastructure is becoming increasingly clear. Platforms like Modern Relay aim to provide the backbone that allows AI agents and human teams to work in sync.
With fresh funding and an early product in market, the company is positioning itself to play a key role in defining how organisations manage and scale AI driven workflows in the years ahead.
