One Agentic Engine. For Any Enterprise Use Case.
Enterprise AI is a pile of disconnected tools.
Every new use case is a new project, a new vendor, a new risk review.
Each tool brings its own identity, data path, and blind spots.
Governance becomes guesswork. Velocity dies in procurement.
AgentFabric is the engine underneath all of it.
One identity, one data path, one governed boundary.
A capable kernel can build any agent. Everything above it is composition.
We ship the kernel, not a fixed agent, so you can build any use case instead of just one.
Application·The product surface
What users touchCapabilities·The building blocks
What you composeThe kernel·Runs every agent
What every agent inheritsAn agent is a model plus a harness.
Every layer composes onto the kernel: model-agnostic, sandboxed, governed and audited, inside your tenant boundary.
Sovereign by default. Capable by design.
One look, one login, one set of rules. Built to feel like one product, because they are.
A library of agents. Ready to deploy.
Don’t start from a blank canvas. Start from a working agent, built for your domain, running on your platform.
No pre-built agent for that combination yet.
The library is a starting point, not the limit. Compose this one on the same platform, governed the same way and running inside your boundary.
Scope a custom agentPlug AI into your own data and your existing stack.
Pre-built connectors for the tools your teams already use. And when you can't connect out, every connector has a sovereign equivalent inside your boundary.
- SharePoint
- Google Drive
- Confluence
- Microsoft Teams
- Slack
- Outlook
- Gmail
- Jira
- ServiceNow
- Salesforce
- GitHub
Secure the AI itself, not just the infrastructure.
Three layers of defense, running continuously on every model and agent you deploy.
We work closely with the OI team to build AI clusters in the UAE. Their role in cluster orchestration and MLOps lets us focus on infrastructure delivery. Together, we bring AI datacenters online faster.
Suleman Khan
SVP Partnership, WWT
Commonly Asked Questions
What is AgentFabric
Ten AI applications on one shared platform that handles identity, models, retrieval, guardrails, and governance. It deploys as a single product on your infrastructure.
What does air-gapped really mean here?
The entire platform, models included, runs with zero external dependencies. Connectors are replaced by sovereign equivalents inside your boundary, and updates arrive through controlled offline channels.
Which models can we use?
Any model you register: open-weight models on your own GPUs, fine-tuned domain models, or external models where your policy allows. You control exactly who can call what.
Can we buy only some of the apps?
Yes. The suite is modular. Activate what you need and add more later on the same deployment, with no migration.
How do agents stay reliable in production?
Every agent runs with durable state, automatic retries, and full execution history. You can require a human checkpoint at any step.
How do you secure the AI itself?
Security continuously red-teams your models and agents, enforces runtime guardrails, and maps findings to frameworks like the OWASP LLM Top 10 and NIST AI RMF.
How fast is the first use case?
Ready-made templates are designed to produce a working, governed use case right after setup. Exact timing depends on your environment.