Infrastructure becomes a reviewed, simulated, versioned model.
IntraLogic ingests information, asks clarifying questions, builds the environment model, simulates impact, turns alerts into visual snapshots, and publishes reviewed versions.
The visual shows how documentation, APIs, signals, and configuration inputs become structured infrastructure intelligence.
Ingest → clarify → model → simulate → alert snapshot → publish version.
From scattered inputs to one connected model.
Documentation, APIs, and signals flow into a connected five-object model. A deterministic engine simulates impact — the AI assistant helps you build and explore it.
Ingest → Clarify → Model → Simulate → Review → Publish → Report.
AI helps you build the model and ask questions of it — but the deterministic engine runs the actual simulation, so impact analysis is repeatable and explainable, not a guess.
Docs, APIs, signals, and config come in.
Gaps and conflicts get questioned.
The five-object model is connected.
The engine traces failure impact.
Changes are checked before they count.
A reviewed version becomes the baseline.
Findings export as shareable reports.
What that model looks like in the product.
The animation shows the concept — these are real screens from IntraLogic.
The connected model, scored
Once ingested and modeled, the environment lands on one hub: a single resilience score on top, and a card per domain — Physical, Virtual, Storage, Sites, Roles & Apps, VDI — each scored and counted. This is the output of Ingest → Clarify → Model.
The whole estate is legible at a glance — no one has to assemble the picture from scattered tools.
Simulation, run by the engine
Fail a core switch and the deterministic engine cascades the impact — degraded hosts, a single-path storage array, at-risk services — right on the topology. This is the Simulate step, and it’s logic, not AI guesswork.
Repeatable, explainable impact analysis you can stand behind in a change review — because it’s rules, not a best guess.
Trace any dependency, hop by hop
Pick two points and IntraLogic resolves the real path against the model — ISP, firewall, switching, compute — with the health of every hop and the route highlighted on the diagram. Part of how you Review the model before publishing.
Catch a missing or single-threaded dependency while reviewing — not during an outage.
How the system moves from documentation to operational understanding.
1. Ingest
Documentation, diagrams, platform inventory, monitoring details, and read-only integrations are collected into the workspace.
2. Clarify
The system asks questions where documentation is unclear, missing, or conflicting before treating the model as reliable.
3. Build Model
Sites, Physical, Roles, Storage, and Virtual are connected into one cross-aware infrastructure model.
4. Simulate
Teams test failures, maintenance, capacity pressure, and dependency changes before making decisions.
5. Alert Snapshot
When an issue happens, the alert includes a diagram snapshot and impact summary instead of only a notification.
6. Publish Version
Reviewed models are published as versions, creating a baseline for future comparison and governance review.
An AI assistant, reporting everywhere, and security in every area.
The model and its impact simulation run on explicit, auditable logic — the engine itself is not AI. AI is layered on top as a rich helper, while enterprise reporting and security run through every module.
AI assistant
Describe what you need and it adds objects, sets up what-if tests, and answers questions about the live model in plain language. The deterministic engine still does the simulating.
Reporting everywhere
Board-ready reports from any module or the whole environment — inventory, dependencies, health scores, and alert snapshots — in one consistent format.
Secure by design
Read-only integrations, role-aware access, full audit logging, and review-before-publish — applied across every module, not bolted on.
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