BAND

BAND is building what it and its investor Team8 describe as a new foundational layer in the AI stack: a universal communication and coordination layer for agents. The analogy the company draws is that microservices got a service mesh and APIs got gateways, but AI agents still have nothing, so today they are wired together with bespoke integrations and glue code that does not scale. Agents are built in different frameworks, languages, and runtimes, where LangGraph calls something a handoff, CrewAI calls it a delegation, and custom agents have no shared vocabulary at all, so context is lost at boundaries, authority is assumed but never verified, and failures cascade with no traceability.

BAND replaces that with enterprise grade interaction infrastructure enabling real time, multi peer collaboration between agents and humans through a shared interaction layer with built in governance. Humans and AI agents work side by side in shared rooms, and BAND becomes the backbone of the stack, keeping context in sync while each agent maintains its own tools, models, and memory. Crucially, it adds the governance that boards and CISOs are now demanding: who approved a given agent action, what policies apply, and how to track what happened, a control layer that verifies authority rather than assuming it. The company frames the coming decade as being about coordinating AI workforces the way the last decade was about cloud infrastructure and the last few years were about models. The founding team's background is in enterprise security, with the CEO having built and sold two security companies and the CTO having led multi agent AI work at Samsung and large scale distributed systems elsewhere. BAND also gestures at a social dimension, letting a personal agent be published so others can interact with it and collaborate on shared tasks.

BAND fits enterprises deploying multiple agents across frameworks, especially in software development where teams already juggle several coding assistants across planning, implementation, review, and testing, and need coordination, trust, and audit across them. As an early stage infrastructure layer it is a weaker fit for buyers needing a finished agent product or published pricing today.