Cyata.cloud
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The platform

One control plane for
every AI workload.

Cyata is a cloud-native orchestration network, a low-latency model hosting fabric, and an autonomous data mesh — designed from first principles for the way AI actually runs in 2026.

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Three primitives

A fabric, not a stack.

Each primitive is independently useful — together they remove the seams between scheduling, serving, and data.

01 · Orchestration

Distributed scheduling

Declare intent; the control plane places workloads on the right compute, anywhere in the mesh.

  • Topology-aware routing
  • Spot & preemptible scheduling
  • Automatic multi-region failover
02 · Hosting

Edge model fabric

Run LLMs on anycast GPUs with shared KV-cache and sub-30ms first token, globally.

  • One-command deploys
  • Scale to zero & to thousands
  • Speculative decoding built-in
03 · Data mesh

Agent data grid

Agents discover, stream, and govern context with lineage and policy by default.

  • Live streaming context
  • Per-tenant lineage & policies
  • Event-driven materialized views
Architecture

Four layers, one declarative API.

You talk to L4. Cyata handles L1–L3 across its mesh and your clouds.

L4 · Your app

Application layer

SDKs & REST/gRPC

Python SDKcyata.run()
TypeScript SDK@cyata/sdk
REST / gRPCapi.cyata.cloud
Webhooksasync
L3 · Control

Orchestrator

Scheduling, policy

Schedulertopology-aware
Policy enginecost · SLA
Autoscaler0 → N
Failoverregion-aware
L2 · Data

Data plane

Context, vectors

Vector storestreaming
Object fabricanycast
Lineageper-tenant
Streaming busKafka-compatible
L1 · Compute

Edge fabric

GPUs in 38 regions

GPU podsH100 · B200
Inferencersspeculative
Agentssandboxed
WorkersWASM
Agent runtime

Agents that schedule themselves.

Cyata agents run in sandboxed micro-VMs with per-step resource limits, streaming context from the data mesh, and the ability to spawn sub-agents on the closest healthy node — autonomously.

  • Sandboxed execution

    Per-agent filesystem, network egress, and CPU/memory caps.

  • Streaming context

    Agents subscribe to live data mesh topics without bespoke plumbing.

  • Self-orchestration

    Spawn, migrate, and checkpoint across regions at runtime.

agent.yaml
agent: support-triage model: cyata/llama3-70b runtime: sandbox: microvm limits: { cpu: 2, mem: 4Gi } egress: [api.internal, cyata.mesh] context: stream: [tickets.live, kb.vectors] policy: tenant-scoped schedule: strategy: closest-healthy replicas: 1..24 checkpoint: every 30s
Trust & security

Built for regulated workloads.

Tenant isolation

Dedicated compute & encrypted weights per tenant.

Data residency

Pin vectors, objects, and lineage to chosen regions.

Full lineage

Trace any output back through agents, data, and models.

SOC 2 + GDPR

Continuous compliance, audit-ready by default.

See the mesh in action.

Book a live architecture walkthrough with the team building Cyata.

Request access → See pricing