Band offers an enterprise‑grade interaction mesh that lets AI agents and humans discover each other, share context, and delegate tasks across any framework or cloud without custom integration code. The platform includes a governance control plane for authority, policy enforcement, and full audit trails, enabling scalable, secure multi‑agent collaboration for development and R&D teams.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents are built across diverse frameworks, languages, and cloud environments, making it difficult for them to discover each other, share context, and coordinate actions reliably. Without a common interaction layer, teams resort to brittle point‑to‑point integrations that break as the number of agents grows, leading to lost context, unclear authority, and untraceable failures.
Solution
Band provides an enterprise‑grade interaction infrastructure that creates a shared collaboration mesh for AI agents and humans. The platform offers a framework‑agnostic communication layer where agents can join rooms, exchange messages, delegate tasks, and maintain context without custom glue code. A control plane enforces authority boundaries, governance policies, and full auditability, ensuring that interactions are secure and traceable across teams and clouds. By abstracting discovery, delegation, and trust into a unified mesh, Band enables scalable multi‑agent systems that operate as cohesively as human teams. The solution works with any existing agents via simple SDKs or WebSocket connections, allowing immediate integration into existing workflows.
Target Audience
Primary customers are development teams and R&D groups building multi‑agent applications, as well as enterprise IT organizations that need to govern and scale agent collaboration across departments and cloud environments.
Features
- Framework‑agnostic collaboration mesh that lets any agent discover, delegate, and exchange context with any other agent or human participant
- Built‑in governance control plane for defining authority boundaries, policy enforcement, and complete audit trails
- Real‑time chatrooms with @mentions, shared code repositories, and persistent session state for coordinated workflows
- Automatic context injection from mounted codebases, enabling agents to reason about the current project without manual prompts
- Scalable architecture supporting distributed deployments across multiple clouds and teams without custom point‑to‑point wiring
- SDKs and WebSocket APIs for rapid integration of existing agents (e.g., Claude, Codex, Cursor) with minimal code changes
- Enterprise features such as unlimited agents, custom retention policies, dedicated support, and full platform API access