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

ChatGPT Image Apr 23 2026 11 39 14 AM
The corporate world has been obsessed with this for the last eighteen months "manufacturer" Stages of the Generative AI Revolution. There is a race to deploy autonomous agents across enterprises to handle everything from customer support to complex codebase refactorings.

However, as these digital workers are growing, a new, more structural problem has emerged: fragmentation. Agents built on Longchain cannot easily delegate tasks to agents built on CrewAI; The Salesforce-embedded agent has no native way to coordinate with a custom-built Python script running on the private cloud.

Today, a new startup, Band (also known as Thenvoi AI Ltd.) quietly exited with $17 million in seed funding to provide. "Interaction Infrastructure" There is a need to transform these disparate tools into a unified, collaborative workforce.

"For agents to become real players in the global economy, they need ways to communicate just like humans," In an interview with VentureBeat, co-founder and CEO Eric Gumanowski said, "The communication solutions we have for systems today do not work for agents, because agents are non-deterministic creatures. It’s not just about API integration."

By introducing a deterministic communication layer that acts as a "slack for agents," The band’s goal is to take the industry from a collection of fragile experiments to a scalable one. "agent economy".

Introduction to ‘Agent Trap’

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 the context or need for constant "rehydration" If they fail and re-enter the conversation.

“You can’t take a bunch of agents and put them into Slack and expect it to miraculously work," Gumanowski said.

Band solves this through a two-layer architecture designed to handle the unique telemetry of AI-to-AI interactions, so-called "Agentic trap."

this is "interaction layer" Where agent discovery and structured delegation occurs. This allows agents to find each other across different clouds and frameworks without the need for developers to write scripts. "glue code" For each new connection.

  • multi-peer collaboration: Unlike existing protocols, which are primarily peer-to-peer or client-server, BAND supports full-duplex, multi-peer communications. This allows a group of agents – for example, a planning agent, a coding agent, and a QA agent – ​​to work together in a shared manner "room" With simultaneous reference.

  • deterministic routing: In particular, BAND does not use large language models (LLMs) to route messages. Using LLM for routing will introduce the same non-deterministic errors that the platform seeks to solve. Instead, the platform uses a patent-pending multi-layer architecture to ensure that messages reach their destination reliably.

  • whatsapp comparison: To handle the anticipated volume of agent traffic, BAND’s infrastructure is built on the same technology stack used by global messaging giants like WhatsApp and Discord. This ensures that the platform can access billions of messages as digital identities begin to exceed human identities.

If there is destruction "pipe," control plane is "valve". This layer provides the runtime governance that enterprises need before they can safely scale autonomous systems.

  • authority limits: The platform allows organizations to enforce strict rules regarding which agents can talk to each other and what topics they can discuss.

  • Credential Traversal: One of the most important constraints in multi-agent systems is identification. BAND manages how human permissions and security tokens are passed from agent to agent. For example, if a human asks for information from Agent A, and Agent A delegates that task to Agent B, BAND ensures that Agent B can only access data that the original human is allowed to see.

Products, Platforms, and Pricing: Expanding the Multi-Agent, Multi-Model Workforce

BAND’s product suite is designed to "framework-agnostic" And "cloud-agnostic," Establishing itself as an independent middleware that avoids vendor lock-in. In a market where hyperscalers like OpenAI or Anthropic want enterprises to stay within their specific ecosystems, Band offers the flexibility to use the best model for the job across multiple options, including open source and fine-tuned, custom enterprise options.

"No matter where agents run from or how they are built, we can link them together, allowing them to discover each other, delegate tasks, and perform full-duplex, bidirectional communications." Gumanowski said, noting that despite competitive first-part options from model providers like OpenAI’s Workspace Agent (announced yesterday) and Anthropic’s Cloud Managed Agent (announced earlier this month), Band "game[s] The role of an independent platform that allows an enterprise to avoid vendor lock-in.

The company is currently witnessing maximum growth "tech-forward" Sectors including telecommunications, financial services and cyber security.

  • coding agent: This is currently the most popular use case. Developers often find that cloud is better at planning, while Codex is better at reviewing code. BAND allows these agents to work together, delegating tasks to each other in real time.

  • Customer Support and Operations:Beyond the code, BAND enables "across the border" Automation. For example, a new employee might be onboarded by a Workday agent, who then communicates with a ServiceNow agent to open a ticket for the equipment, who ultimately talks to a purchasing agent to finalize the order.

Understanding the sensitivity of enterprise data, BAND offers three primary ways to consume the platform:

  1. Mother in law: A straightforward cloud-based platform where agents connect via API.

  2. Private Cloud/On-Premise: The entire platform can be deployed in a customer’s VPC or on-premise environment to ensure that data never leaves their control.

  3. Edge: The infrastructure is lightweight enough to deploy "flying objects" Such as drones (UAVs) or even satellites, facilitate communication between agents in physically isolated environments.

Already, early users of BAND – and enterprises more broadly – ​​are mixing and matching AI agents powered by models from different providers, so the time has come to provide a comprehensive solution.

As Gumanovsky said: “Advanced developers are not using a single coding agent. They realize that the cloud is very good at planning, Codex is much better at reviewing, and there is no way today to create that bidirectional conversation between coding, review, and planning agents. We enable it.”

Licensing, Administration and Pricing

BAND operates as a commercial entity, focusing on providing "enterprise grade" Stability and security. While the platform integrates with open-source frameworks like Longchain and CrewAI, its own core routing and control technology is proprietary and patent-pending.

For enterprise IT leaders, "control plane" Less about communication and more about audit. BAND provides a complete overview of each agent interaction, creating a transcript and a "paper trail" For autonomous functions.

this is one "Supplement" Solutions to existing railing products; While a guardrail can protect a single agent from quick injection, BAND protects entire system From widespread failures caused by misinformation from one agent to another.

The company has launched with a tiered pricing model that is individually designed to appeal to all "agent enthusiast" For global corporations:

  • Free ($0/month): Designed for individuals. It allows up to 10 remote agents and 50 active chat rooms, although it only retains data for 24 hours.

  • Pro ($17.99/month): Targeted at startups and growing R&D teams. This tier increases the limit to 40 agents and 250 active chat rooms with email support.

  • Enterprise (Custom): Provides unlimited agents, custom data retention policies, and full API access to BAND to meet compliance requirements "memory api".

Towards ‘universal orchestrator’

The emergence of the band coincides with a change in the way analysts view the AI ​​market. Gartner predicts that by 2029, 90% of enterprises deploying multiple agents will need what they call "Universal Orchestrator". Similarly, Forrester has recognized "agent control plane" As a niche and emerging market category.

The company was founded by Gumanovsky and Vlad Luzin, who combined their backgrounds in Israeli intelligence, cybersecurity, and multi-agent systems to create the band.

Gumanovsky sees the platform not just as a tool, but as a foundational layer for the next era of the Internet.

"Communication is the most fundamental problem in computing," Gumanovsky noted. "When new creatures emerge, the first thing they need is a way to talk to each other… We are the agents of the Internet".

$17 million seed round led by Sierra Ventures, Hetz VenturesAnd team8. Sierra Ventures’ Tim Guleri emphasized that the band is producing "missing layer" Which makes large-scale collaboration practical.

This capital will be used to expand the engineering team and accelerate growth "design partner" The ecosystem, which already includes major North American telecoms and European digital payments companies.

As agents transition from digital innovation to becoming the primary driver of enterprise workflows, "glue code" What holds them together will become the most important part of the pile. The launch of the band is the first serious attempt to standardize a glue that has become anarchic "band" of agents in a synchronized, governed symphony.



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