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

2026-04-23 · Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

BAND (Thenvoi AI Ltd.) has exited stealth with $17 million in Seed funding to address the fragmentation problem in enterprise generative AI agent deployments. The company provides "interaction infrastructure" to unify disparate AI agents, enabling them to communicate and collaborate across different frameworks like LangChain and CrewAI, and various cloud environments. BAND's solution, dubbed the "agentic mesh," features a two-layer architecture for agent discovery, structured delegation, and multi-peer communication without relying on LLMs for routing. It also includes a Control Plane for runtime governance, enforcing authority boundaries and managing credential traversal. The platform supports SaaS, private cloud, and edge deployments, offering framework-agnostic and cloud-agnostic middleware to prevent vendor lock-in, with use cases spanning coding agents, customer support, and operations.

Key takeaway

For CTOs and VP of Engineering evaluating multi-agent system deployments, you should consider BAND's interaction infrastructure to overcome fragmentation and ensure governed, scalable agent collaboration. This platform offers a critical independent layer to avoid vendor lock-in and provides the necessary auditability and control plane features for enterprise-grade autonomous systems, allowing you to unify agents built on different frameworks and models.

Key insights

BAND provides an "agentic mesh" to enable deterministic, scalable communication and governance for fragmented enterprise AI agents.

Principles

• AI agents require dedicated communication infrastructure.
• Non-deterministic LLMs are unsuitable for agent routing.
• Deterministic routing is crucial for reliable agent interaction.

Method

BAND employs a two-layer architecture: an "agentic mesh" for multi-peer communication and deterministic routing, and a Control Plane for runtime governance, authority boundaries, and credential traversal.

In practice

• Integrate Claude and Codex for combined coding and review tasks.
• Automate cross-departmental workflows using diverse agents.
• Deploy agent communication infrastructure on-premise for data control.

Topics

• AI Agent Orchestration
• Multi-Agent Systems
• Agent Control Plane
• Deterministic Routing
• Enterprise AI Governance

Best for: CTO, VP of Engineering/Data, AI Product Manager, AI Architect, Director of AI/ML, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.