Talking to AI agents is one thing — what about when they talk to each other? New startup BAND debuts 'universal orchestrator'

For the past eighteen months, the corporate world has been obsessed with the "builder" phase of the generative AI revolution. Enterprises have raced to deploy autonomous agents to handle everything from customer support to complex codebase refactoring. However, as these digital workers proliferate, a new, more structural problem has emerged: fragmentation. Agents built on LangChain cannot easily hand off tasks to those built on CrewAI; a Salesforce-embedded agent has no native way to coordinate with a custom-built Python script running on a private cloud. Today, a new startup, BAND (also known as Thenvoi AI Ltd.) exited stealth with $17 million in Seed funding to provide the "interaction infrastructure" necessary to turn these isolated tools into a unified, collaborative workforce. "In order for agents to become real players in the global economy, they need ways to communicate, just like humans do," said co-founder and CEO Arick Goomanovsky in an interview with VentureBeat, continuing, "the communication solutions we have today for systems don’t work for agents, because agents are non-deterministic creatures. It’s not just about API integrations." By introducing a deterministic communication layer that functions as a "Slack for agents," BAND aims to move the industry from a collection of fragile experiments to a scalable, "agentic economy". Introducing the 'agentic mesh' At the core of BAND’s thesis is that simply creating and plugging AI agents into human communication tools like Slack causes them to lose context or require constant "rehydration" if they fail and re-enter a conversation. “You can’t take a bunch of agents and put them into Slack and expect it to miraculously work," Goomanovsky said. BAND solves this through a two-layer architecture designed to handle the unique telemetry of AI-to-AI interaction, a so called "agentic mesh." This is the "interaction layer" where agent discovery and structured delegation occur. It allows agents to find one another across different clouds and frameworks without requiring developers to write brittle "glue code" for every new connection. Multi-Peer Collaboration : Unlike existing protocols that are primarily peer-to-peer or client-server, BAND supports full-duplex, multi-peer communication. This allows a group of agents—for example, a planning agent, a coding agent, and a QA agent—to work together in a shared "room" with synchronized context. Deterministic Routing : Notably, BAND does not use Large Language Models (LLMs) to route messages. Using an LLM for routing would introduce the same non-deterministic errors the platform seeks to solve. Instead, the platform uses a patent-pending multi-layer architecture to ensure messages reach their destination reliably. The WhatsApp Comparison : To handle the anticipated volume of agentic traffic, BAND’s infrastructure is built on the same technical stack utilized by global messaging giants like WhatsApp and Discord. This ensures the platform can scale to billions of messages as digital identities begin to outnumber human ones. If the mesh is the "pipes," the Control Plane is the "valve". This layer provides the runtime governance that enterprises require before they can safely scale autonomous systems. Authority Boundaries : The platform allows organizations to enforce strict rules on which agents can talk to each other and what topics they can discuss. Credential Traversal : One of the most significant hurdles in multi-agent systems is identity. BAND manages how human permissions and security tokens traverse from agent to agent. For instance, if a human asks Agent A for information, and Agent A delegates that task to Agent B, BAND ensures Agent B only accesses data the original human is permitted to see. Product, platform and pricing: scaling the multi-agent, multi-model workforce BAND’s product suite is designed to be "framework-agnostic" and "cloud-agnostic," positioning itself as an independent middleware that prevents vendor lock-in and enables scalable multi-agent collaboration.