BAND Launches Interaction Layer, Raises $17M Seed

BAND, led by CEO Arick Goomanovsky and CTO Vlad Luzin, exited stealth and announced a $17M seed round led by Sierra Ventures, Hetz Ventures, and Team8. The company is debuting a dedicated interaction layer aimed at solving coordination and interoperability for multi-agent systems, enabling agents to discover each other, exchange structured context, delegate tasks, and operate under audit and governance controls rather than ad hoc integrations.

BAND frames the problem as one of runtime interaction rather than mere API connectivity. The platform introduces a deterministic communication fabric that preserves workflow context when agents enter, fail, or rejoin a conversation, avoiding the constant "rehydration" that breaks agent workflows in chat channels. Key features described across briefings include:

• •Structured communication and delegation primitives that encode task intent and authority
• •Cross-framework interoperability without rewriting agents, supporting LangChain, CrewAI, third-party SaaS agents, and coding assistants like Claude Code and Codex
• •Agent discovery and connection across internal networks, partner systems, and personal environments
• •Human-in-the-loop controls for inspection, approvals, and intervention with auditable trails
• •A runtime control plane that enforces permissions, policy, and visibility for multi-party workflows

BAND positions its layer above existing agent runtimes, acting as an orchestration and interaction plane, not as a replacement for model or agent frameworks. The company emphasizes deterministic message semantics and a governance surface for enterprises deploying dozens or hundreds of agents in production.

The first wave of generative AI adoption produced many standalone copilots and task agents. The next wave is systems of agents collaborating across organizational boundaries and clouds. Practitioners increasingly see the failure modes that emerge from brittle integrations: lost context, manual stitching, and inadequate runtime governance. BAND targets that exact gap, which is becoming a practical bottleneck for enterprise automation at scale. Investors backing the round highlight the shift toward an "agentic economy" where interoperability, discoverability, and enforcement matter as much as agent capability.

BAND is not alone conceptually; a small but growing ecosystem is building tools for agent coordination, orchestration, and governance. BAND's differentiator, as presented, is a protocol- and framework-agnostic interaction plane with explicit primitives for context preservation, delegation, and human oversight, which enterprises require for compliance and auditability. For engineering teams this reduces custom plumbing and brittle event-handling code, while for platform teams it creates a single control surface for monitoring and policy.

Early adoption will hinge on integrations with popular agent frameworks and the ability to demonstrate clear reductions in failure rates and developer operational burden. Monitor BAND's design-partner deployments, SDKs or adapters for LangChain and CrewAI, and the evolution of its runtime policy primitives and telemetry.

BAND addresses a practical, escalating problem for organizations moving from isolated agents to multi-agent systems. The seed funding validates investor conviction that coordination and interaction infrastructure is a necessary layer for reliable, enterprise-grade agent deployments.