BAND, a startup building infrastructure for communication between distributed AI agents, said it has launched from stealth with $17 million in seed funding from Sierra Ventures, Hetz Ventures and Team8.
The company said it is developing an interaction layer for multi-agent systems, aiming to address what it describes as a growing challenge in enterprise AI: enabling autonomous agents to communicate, share context and coordinate tasks across systems, teams and organizations.
As companies begin deploying dozens or hundreds of AI agents across engineering, security and operations workflows, BAND says coordination between those agents is becoming a major infrastructure problem. The company said teams today often manually pass information between agents, maintain context across tools and build fragile coordination layers not designed for production-scale automation.
BAND’s platform is intended to allow agents to discover one another, exchange context, delegate tasks and collaborate in real time. The company said the system is designed to work across custom agents built with frameworks such as LangChain and CrewAI, third-party software-as-a-service agents, coding agents such as Claude Code and Codex and personal AI assistants such as OpenClaw.
“We’re entering the agentic economy, where millions of agents will need to collaborate across companies, platforms and environments,” said Arick Goomanovsky, BAND’s CEO and co-founder. “The challenge isn’t only building more agents, but getting them to work together in real time.”
Goomanovsky said BAND is building infrastructure that allows agents to operate as part of “a production-ready system, not isolated tools,” calling such communication “mission critical” for enterprise agent deployment.
The company said its platform allows developers to move from manually coordinating coding agents to continuous multi-agent workflows in which planning, coding, testing and monitoring agents operate together with shared context. It said research and development teams can use BAND to build modular multi-agent architectures across different cloud and on-premises environments, while enterprises can connect internal agents with those embedded in SaaS platforms and partner systems.
BAND said its key capabilities include a shared infrastructure layer for multi-agent systems, structured communication and delegation, cross-framework interoperability, human oversight for inspection and approval, and agent discovery across internal and external environments.
The company said its built-in governance tools give enterprises visibility into agent interactions, monitor task delegation and enforce authority boundaries for secure, scalable operations.
“Multi-agent systems are quickly becoming the foundation of modern software,” said Tim Guleri, managing director at Sierra Ventures. “Without a reliable and efficient way for agents to communicate, their potential is limited.”
BAND said it will use the seed funding to expand its engineering team, accelerate product development and grow its early design partner ecosystem among developers, enterprise platforms and AI-native companies.
The company said early adopters are already using its platform to build multi-agent systems in software development, enterprise automation and advanced research and development.
BAND describes itself as an enterprise-grade interaction infrastructure company for distributed AI agents, providing real-time collaboration across agents and humans and a runtime control plane that enforces policy, authority boundaries and visibility across heterogeneous systems.