BAND Raises $17M to Build the “Internet of Agents” Communication Layer

Israeli startup emerges from stealth to solve one of AI’s hardest problems: enabling autonomous agents to communicate, coordinate, and operate together across enterprise systems in real time

BAND Raises $17M to Build the “Internet of Agents” Communication Layer

BAND founders Arick Goomanovsky (CEO) and Vlad Luzin (CTO). Photo: BAND

Israeli startup BAND has emerged from stealth with $17 million in seed funding to build what it calls the communication and interaction layer for the “internet of agents” — a future where autonomous AI systems collaborate across platforms, organizations, and environments.

The round was backed by Sierra Ventures, Hetz Ventures, and Team8, and will be used to expand engineering efforts and accelerate product development with early enterprise and developer partners.

As companies rapidly deploy AI agents across engineering, security, and operations workflows, coordination between those systems is becoming a major bottleneck. Today, many enterprises still rely on manual context sharing or brittle integrations that were not designed for production-scale automation, leading to fragmented and inefficient workflows.

BAND aims to address this gap by creating a unified interaction layer that allows agents to discover one another, exchange context, delegate tasks, and collaborate in real time, regardless of framework or environment. This includes agents built on tools such as LangChain or CrewAI, SaaS-based agents, coding agents, and even personal AI assistants.

The company says its platform introduces structured communication, cross-framework interoperability, and built-in governance features that allow enterprises to monitor and control agent behavior while maintaining scalability and security.

“We’re entering the agentic economy, where millions of agents will need to collaborate across companies and platforms,” said CEO and co-founder Arick Goomanovsky. “The challenge is not just building agents, but making them work together as a system.”

Investors say the technology addresses a foundational gap in enterprise AI infrastructure, where multi-agent systems are increasingly expected to operate as coordinated networks rather than isolated tools.