The agents are intelligent.
The space between them wasn't.

Tashi gives AI agents a shared coordination layer built at their speed. When a broker fails, coordination continues. Peer‑to‑peer by design. No central registry required.

Join the Pilot ProgramJJooiinn  tthhee  PPiilloott  PPrrooggrraamm
Join the Pilot ProgramJJooiinn  tthhee  PPiilloott  PPrrooggrraamm

VENDOR AGNOSTIC

Sub-30ms coordination

Swarm persists

100+ Organizations

Agent Discovery

Trustless negotiation

Privacy by design

100+ Organizations

Overview

Workloads spike across diverse clouds. Yet execution is seamless.

Every agent in a Tashi network discovers peers in milliseconds, negotiates capabilities and constraints, and coordinates execution via a shared state owned by no single system. Even if participants drop, outputs converge dynamically without a central scheduler or registry to bottleneck.

Capabilities

The coordination layer for the agentic economy

Millisecond discovery

Agents find each other, query capabilities, exchange keys in milliseconds. This is purpose-built infrastructure, not retrofitted web protocols.

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Millisecond discovery

Agents find each other, query capabilities, exchange keys in milliseconds. This is purpose-built infrastructure, not retrofitted web protocols.

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Millisecond discovery

Agents find each other, query capabilities, exchange keys in milliseconds. This is purpose-built infrastructure, not retrofitted web protocols.

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Trustworthy negotiation

Agents coordinate task allocation, resource access, and ordering through MeshNets. Fair ordering prevents front-running and manipulation.

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Trustworthy negotiation

Agents coordinate task allocation, resource access, and ordering through MeshNets. Fair ordering prevents front-running and manipulation.

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Trustworthy negotiation

Agents coordinate task allocation, resource access, and ordering through MeshNets. Fair ordering prevents front-running and manipulation.

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Byzantine-robust aggregation

Distributed inference and federated learning remain correct even when some participants fail or behave adversarially.

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Byzantine-robust aggregation

Distributed inference and federated learning remain correct even when some participants fail or behave adversarially.

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Byzantine-robust aggregation

Distributed inference and federated learning remain correct even when some participants fail or behave adversarially.

03

Privacy-Native Architecture

Internal state, intermediate rounds, and raw data stay private within the cluster. Only the final Proof of Coordination leaves the MeshNet.

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Privacy-Native Architecture

Internal state, intermediate rounds, and raw data stay private within the cluster. Only the final Proof of Coordination leaves the MeshNet.

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Privacy-Native Architecture

Internal state, intermediate rounds, and raw data stay private within the cluster. Only the final Proof of Coordination leaves the MeshNet.

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Designed for Agentic Scale

The architecture is designed for the scale of the agentic economy.

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Designed for Agentic Scale

The architecture is designed for the scale of the agentic economy.

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Designed for Agentic Scale

The architecture is designed for the scale of the agentic economy.

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Use Environments

Teams actively using Tashi to coordinate Agents.

Teams actively using Tashi to coordinate Agents.

Tashi is built for environments where coordination must be real‑time, trust is partial, and central brokers are the enemy of scale.

Multi-Agent Task Allocation

Real‑time task allocation

Agents discover peers and coordinate tasks through MeshNets with verifiable outcomes.

Agent Registries

Discovery at agent speed

Agents discover capabilities and exchange credentials through verifiable network coordination.

Distributed Inference

Optimized execution across nodes

Agent clusters coordinate inference through shared state with verifiable outputs.

Federated Learning

Train across silos without moving raw data

Byzantine-robust aggregation prevents poisoning while keeping raw data entirely local.

MCP / A2A Foundations

The infrastructure beneath the framework

Tashi operates beneath MCP servers and agent-to-agent coordination frameworks.

Enterprise AI Orchestration

Thousands of agents. Zero organizational silos

Agents coordinate across teams and clouds through verifiable shared state.

Common questions about Tashi for drone swarms.

Common questions about Tashi for drone swarms.

Is Tashi a replacement for MCP or A2A protocols?

No. Tashi is the coordination infrastructure beneath these protocols. MCP and A2A define how agents communicate. Tashi provides the layer that makes that communication fast, trustworthy, and resilient at agent timescales, not human ones.

Can Tashi work with existing agent frameworks like LangChain, AutoGen, or CrewAI?

Tashi integrates via lightweight Rust and C libraries that sit beneath existing agent orchestration frameworks. You do not need to replace your agent framework you add a coordination substrate that makes it operate at edge speed and scale.

How does Tashi handle privacy in federated learning setups?

Internal state stays inside the MeshNet. Only the final Proof of Coordination a compact, cryptographic record of what was agreed is ever transmitted externally. Raw training data and intermediate model states never leave the local cluster.

What does "Byzantine fault-tolerant aggregation" actually mean in practice?

It means the system produces correct results even when up to one-third of participating agents fail or deliberately submit corrupted data. No single bad actor or even a coordinated minority can corrupt the collective output.

Does Tashi require a token or blockchain to work for agent coordination?

No. The core coordination layer (Vertex) is completely gasless. Agents coordinate through peer-to-peer consensus with no transaction fees and no blockchain dependency. The Arc settlement bridge is optional and only activates when public finality is explicitly required.

Can Tashi work in facilities without reliable internet connectivity?

Yes. Offline capability is a core design property, not an add-on. Robots coordinate peer-to-peer via mesh networking without any dependency on always-on internet.

Is Tashi a replacement for MCP or A2A protocols?

No. Tashi is the coordination infrastructure beneath these protocols. MCP and A2A define how agents communicate. Tashi provides the layer that makes that communication fast, trustworthy, and resilient at agent timescales, not human ones.

Can Tashi work with existing agent frameworks like LangChain, AutoGen, or CrewAI?

Tashi integrates via lightweight Rust and C libraries that sit beneath existing agent orchestration frameworks. You do not need to replace your agent framework you add a coordination substrate that makes it operate at edge speed and scale.

How does Tashi handle privacy in federated learning setups?

Internal state stays inside the MeshNet. Only the final Proof of Coordination a compact, cryptographic record of what was agreed is ever transmitted externally. Raw training data and intermediate model states never leave the local cluster.

What does "Byzantine fault-tolerant aggregation" actually mean in practice?

It means the system produces correct results even when up to one-third of participating agents fail or deliberately submit corrupted data. No single bad actor or even a coordinated minority can corrupt the collective output.

Does Tashi require a token or blockchain to work for agent coordination?

No. The core coordination layer (Vertex) is completely gasless. Agents coordinate through peer-to-peer consensus with no transaction fees and no blockchain dependency. The Arc settlement bridge is optional and only activates when public finality is explicitly required.

Can Tashi work in facilities without reliable internet connectivity?

Yes. Offline capability is a core design property, not an add-on. Robots coordinate peer-to-peer via mesh networking without any dependency on always-on internet.

Ready to build an agent network that never bottlenecks?

Building an agent network where coordination is the critical constraint? Tell us what you are deploying. Our solutions team responds within one business day.

Ready to build an agent network that never bottlenecks?

Building an agent network where coordination is the critical constraint? Tell us what you are deploying. Our solutions team responds within one business day.

Ready to build an agent network that never bottlenecks?

Building an agent network where coordination is the critical constraint? Tell us what you are deploying. Our solutions team responds within one business day.

Swarms where all drones
are connected to each other.

Tashi creates a secure mesh network where drones coordinate in real time. Even if units drop, the mission continues seamlessly.

Join the Pilot ProgramJJooiinn  tthhee  PPiilloott  PPrrooggrraamm

Swarms where all drones
are connected to each other.

Tashi creates a secure mesh network where drones coordinate in real time. Even if units drop, the mission continues seamlessly.

Join the Pilot ProgramJJooiinn  tthhee  PPiilloott  PPrrooggrraamm