The Agent Fabric
Orchestrating distributed intelligence across data centers, edge nodes, and IoT devices
Real-time Coordination:
Watch autonomous agents collaborate through a distributed mesh network.
Category
Distributed Agent Infrastructure for Enterprise AI Automation
We sit beneath workflows and applications, inside the infrastructure layer. We do not compete on UI, templates, or no-code. We enable the substrate that makes large-scale AI automation possible.
Problem
Why AI automation fails at scale
- Too centralized
- Too API-dependent
- Too cloud-only
- Disconnected from real infrastructure
- Unable to operate close to data, machines, and systems
To automate real operations, AI must be:
- deployed locally and at the edge
- embedded in infrastructure
- distributed across environments
- connected to IT and OT systems
- governed, observable, and sovereign
Market
How the market is structured
Layer 4
AI Interfaces & Assistants
(chatbots, copilots — not our market)
Layer 3
Workflow Automation Platforms
n8n · Zapier · Make · Power Automate — we integrate, not compete
Layer 2
Agent Runtime & Orchestration (emerging)
Planning · Memory · Tool execution — mostly centralized today
Layer 1
Distributed Agent Infrastructure
Edge nodes · Gateways · On-prem · Hybrid · IT/OT integration · Sovereign
← The Agent Fabric operates here
Positioning
What we focus on
The Agent Fabric is not an automation tool. It is the infrastructure layer automation depends on. We focus on:
- Where agents run
- Where data lives
- Where decisions must be made locally
- Where systems cannot rely on SaaS APIs
- Where AI must be embedded, not bolted on
Privacy & Sovereignty
You own and govern your agents entirely inside your infrastructure—no external control plane, no hidden data egress, and full offline/local execution where required.
Comparison
Workflow platforms vs The Agent Fabric
We do not replace these tools. We enable them to work at enterprise scale.
Architecture
Layered view
LAYER 4 — Applications & Workflows
n8n · ERP · MES · Analytics · Dashboards
LAYER 3 — Agent Logic
Planning · Reasoning · Policies · Tool usage (LLMs, rules engines, decision logic)
LAYER 2 — Agent Fabric (our domain)
Distributed nodes · Edge agents · Gateways · Secure communication · Observability · Control planes
LAYER 1 — Infrastructure
Factories · Vehicles · Energy systems · Servers · Networks · IoT devices · OT + IT environments
Most companies build at Layer 4. Some experiment at Layer 3. Almost no one owns Layer 2. That is our position.
Why now
Why this matters now
AI automation is moving from:
- Experiments → operations
- Copilots → autonomous systems
- SaaS → embedded infrastructure
This shift needs a new foundational layer because:
- Centralized AI does not scale operationally
- APIs are not infrastructure
- Autonomy requires proximity to systems
- Sovereignty, privacy, and observability are non-negotiable
Outcome
What we enable
- Deploy AI agents inside infrastructure
- Connect agents across sites and environments
- Keep data local while enabling global coordination
- Run sovereign, offline/local-first when required
- Automate operations, not just tasks
- Prepare infrastructure for the next decade of AI
- Operate securely, locally, and at scale
Positioning statement
One sentence
The Agent Fabric provides the distributed, sovereign infrastructure layer that allows AI agents to operate inside enterprise systems — securely, locally, and at scale.
Reuse
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This copy is intentionally foundational—not fluffy—and built to survive market evolution.
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