BAND raises USD $17 million for multi-agent AI layer

BAND has launched with USD $17 million in seed funding from Sierra Ventures, Hetz Ventures and Team8.

The San Francisco-based company is building an interaction layer for multi-agent AI systems to help autonomous software agents communicate, share context, delegate tasks and work together across frameworks, cloud environments and organisations.

The launch comes as companies deploy growing numbers of AI agents across engineering, security and operations. BAND argues that coordination between those agents is becoming a distinct infrastructure challenge as businesses move from isolated pilots to more complex systems spanning internal tools, software platforms and external partners.

Industry forecasts cited by BAND suggest that by the end of 2026, 40% of enterprise applications will embed AI. Those forecasts also indicate that half of agent deployments will fail because of weak runtime enforcement and poor interoperability, while only 21% of companies currently have a mature governance and collaboration model.

Coordination problem

Businesses using multiple agents often still rely on staff or developers to move information between systems and maintain workflow context. As a result, teams are left stitching together processes that were not designed to operate as a single system, creating fragile setups that are difficult to scale.

BAND says its software lets agents discover one another and collaborate in real time without forcing companies to rewrite them for a single framework. The system can connect custom agents built on tools such as LangChain or CrewAI, third-party software agents, coding agents including Claude Code and Codex, and personal assistants such as OpenClaw.

The company is also positioning the product around governance and oversight. Customers can inspect agent interactions, approve or intervene in tasks, and enforce authority boundaries, with visibility into how work is delegated across internal and external environments.

That focus reflects a central concern in enterprise AI adoption: whether autonomous systems can be controlled when deployed across departments, clouds and partner networks. In BAND's view, the question is no longer just whether companies can build agents, but whether they can manage interactions among many agents operating at the same time.

"We're entering the agentic economy, where millions of agents will need to collaborate across companies, platforms, and environments," said Arick Goomanovsky, Chief Executive Officer and Co-Founder, BAND. "The challenge isn't only building more agents, but getting them to work together in real time. BAND is building the infrastructure that makes that communication and interaction seamless, so agents can operate as part of a production-ready system, not isolated tools. This isn't a nice-to-have, this is mission critical for the success of agent deployment in the enterprise."

Use cases

Developers can use the platform to link planning, coding, testing and monitoring agents into continuous workflows with shared context. Research and development teams can also build modular systems that span different clouds and on-premise environments rather than relying on a single tightly bound architecture.

Another target market is enterprise automation across company boundaries. BAND says its platform can connect internal agents with those embedded in software services and partner environments, allowing businesses to create workflows that cross functional and organisational lines.

The company also pointed to a possible consumer angle, where personal AI agents interact with business systems or with other users' agents. That idea underpins its description of an emerging "internet of agents", though the immediate focus appears to be enterprise use cases and early design partners.

The funding will be used to expand engineering, continue product development and grow the design partner network. According to BAND, early adopters are already using the product in software development, enterprise automation and research, although no customer names were disclosed.

Investors framed the company as part of a broader shift toward software built around multiple cooperating AI systems rather than single models or standalone tools.

"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 is building the missing layer that makes large-scale agent collaboration practical in all environments, in the enterprise and beyond."