The agentic layer

AI agents that work your stack. Not a chatbot.

Each agent is a specialist built over your own ontology — and handed real tools to do the job. A matter expert who knows your field. A technical expert who knows your system. A real teammate, grounded in fact, that plugs into the team you already have.

How it's built

The stack becomes the expert.

Every agent stands on the same foundation as the rest of Djeed: a knowledge graph, built from your ontology and Gen AI. The agent is built over that graph — then handed real tools to act. Point it at a domain's ontology and you get a matter expert who knows your field; point it at one of our solutions and you get a technical expert who knows the system. Either way the expertise is grounded in a real, structured knowledge stack with provenance — accountable, not improvising.

01

Custom ontology

Your domain — typed, resolved, connected.

02

Gen AI

The reasoning and language layer on top.

03

Knowledge graph + tools

The two become a graph the agent stands on — plus real tools to act on it.

→ RESULT

A specialist agent

Genuinely expert. Cites its source. Hands to a human when it should.

The multi-agent floor

Specialists route to each other — and to your people.

A single chatbot can't do this. The matter expert flags a question, the technical expert pulls the history, and when judgment is owed, a human steps in with full context.

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The difference

An agent is one wheel. We build & run the whole machine.

A persona on its own isn't the value — and automating an unchanged workflow rarely creates the full value either. We work with your subject-matter experts to understand how decisions are actually made, redesign the workflow where it needs to change, and define where agents, code, and human judgment belong.

What makes that redesigned workflow executable is the whole custom system around it: the ontology, the connected knowledge, the provenance, the tools, the human-in-the-loop, and the operations that keep it true. Djeed's five solutions provide the enabling flow — from Data & Ontology Foundation through Graph & Spatial, Predictive & Generative, and Operational Intelligence to traceable Decision Intelligence. Djeed builds and operates that system, with the agents as one efficient component working as part of your team.

Full custom, never off the shelf. Not a generic product you bend your organisation around — built for your domain, your knowledge, and the workflow shaped with the people who know the work best. And it doesn't go stale: Djeed Lab keeps the core, the methods, and the agents on the frontier with professors and domain experts.

Use-cases · when the agents are the team

When the floor is the product.

Sometimes the whole job is the agents — a standalone specialist floor you, or your customers, talk to directly. Same engine, a different team for each.

Live — try it

AI call-centre

Support, marketing & sales floor — answers grounded, acts, hands to a human. Chat and in-browser voice, many languages.

This is Gateway
Same engine

AI technical team

Specialists that know your architecture, data model, and runbooks — triage, answer, draft fixes, open the right ticket.

Built over your systems
Same engine

AI marketing & sales team

On-message every time — drafts, answers prospects in their language, qualifies and follows up. Never over-claims.

Grounded in your offering

Use-cases · when the agents are a wheel

And a wheel inside every other system.

More often, agents aren't the product — they're a wheel inside one: named specialists doing specific jobs inside a bigger Djeed system, each turning over the same knowledge graph. We always built it this way; now they're named. The same agentic layer runs across every solution and every use case below.

The live proof is one click away.

Gateway is this solution running as our own front line. Talk to it, then tell us what you'd point it at.