BAND, an Israeli startup also operating as Thenvoi AI Ltd., emerged from stealth in coverage running this past week with $17 million in seed funding led by Sierra Ventures, Hetz Ventures, and Team8. The company describes itself as 'interaction infrastructure' for AI agents — a coordination layer that lets agents discover one another, exchange context, delegate tasks, and collaborate in real time across organizational and vendor boundaries.
The architecture is designed to be vendor-neutral on purpose. BAND's runtime is meant to work across custom agents built with frameworks such as LangChain and CrewAI, third-party SaaS agents, coding agents like Claude Code and Codex, and personal assistants such as OpenClaw. CEO Arick Goomanovsky describes the bet plainly: 'we're entering the agentic economy, where millions of agents will need to collaborate across companies, platforms, and environments.' The product offers a shared infrastructure layer for multi-agent systems, structured delegation, cross-framework interoperability, agent discovery across internal and external environments, and human inspection and approval points.
BAND lands in a crowded but unsettled segment. Anthropic's Model Context Protocol, OpenAI's Agent Protocol work, and a growing list of orchestration frameworks (LangGraph, CrewAI, Microsoft AutoGen) are all attempting to standardize how agents communicate. None has won. The market opportunity for a neutral coordination layer is real precisely because the major-lab protocols are tied to specific model vendors, while enterprises increasingly want to mix and match — Claude Code for the IDE, OpenAI agents for back-office automation, internal LangChain agents for proprietary data.
Takeaway for learners — multi-agent systems are becoming an infrastructure problem, not a model problem. If you're building anything where more than one AI agent has to make a decision, the questions that matter are now operational: who can call whom, which agent has authority, how is the audit trail captured, what gets escalated to a human. BAND's bet is that those questions will be answered by infrastructure rather than by individual agent SDKs — and that the protocol layer will turn into the next observable, governable, sellable surface in enterprise AI.