How It Works

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.

Workflow
A connected view of how inputs become an operational model.
Visual
System view

The visual shows how documentation, APIs, signals, and configuration inputs become structured infrastructure intelligence.

Main workflow

Ingest → clarify → model → simulate → alert snapshot → publish version.

The Model

From scattered inputs to one connected model.

Documentation, APIs, and signals flow into one connected model. A deterministic engine simulates impact — the AI assistant helps you build and explore it.

Discovery uses whatever protocol each platform actually speaks — SSH, WinRM and PowerShell, SNMP v2c/v3, Redfish, JSON-RPC, and vendor REST and SOAP APIs. Which one applies is a property of the connector, not something you configure. All of them are read-only and outbound: no inbound ports, no firewall changes.

Discovery platform catalog — 36 platforms, 10 available today
PlatformIdentifierStatus
Virtualization2 of 5 available
VMware vCentervmware_vcenterAvailable
Microsoft Hyper-VhypervAvailable
Proxmox VEproxmoxPlanned
NutanixnutanixPlanned
XenServer / XCP-ngxcpngPlanned
Storage1 of 6 available
TrueNAStruenasAvailable
CephcephPlanned
SynologysynologyPlanned
Dell PowerStoredell_powerstorePlanned
NetAppnetappPlanned
Pure StoragepurePlanned
Switching4 of 8 available
Generic SNMPsnmpAvailable
Cisco Catalyst / IOS-XEcisco_iosAvailable
Cisco Nexus / NX-OScisco_nxosAvailable
Aruba / HPEarubaPlanned
JuniperjuniperPlanned
Dell Networkingdell_networkingPlanned
UniFi SwitchunifiAvailable
Merakimeraki_switchPlanned
Firewalls / Edge2 of 7 available
FortinetfortinetPlanned
SophossophosPlanned
Palo AltopaloaltoPlanned
Cisco ASA / Firepowercisco_asaPlanned
Cisco MerakimerakiPlanned
UniFi Gatewayunifi_gatewayAvailable
SonicWallsonicwallAvailable
Server Hardware1 of 6 available
Dell iDRACdell_idracAvailable
HPE iLOhpe_iloPlanned
Lenovo XClaritylenovo_xccPlanned
Cisco CIMCcisco_cimcPlanned
Supermicro BMCsupermicro_bmcPlanned
Generic Redfishgeneric_redfishPlanned
Backup0 of 3 available
VeeamveeamPlanned
AcronisacronisPlanned
Synology Backupsynology_backupPlanned
Custom / Other0 of 1 available
Custom RESTcustom_restPlanned

Read-only throughout. 10 of 36 platforms are available today; the rest are catalogued and planned. This mirrors the integration catalog inside the product.

The Agent

One small Windows service does all the reaching.

Every platform above speaks a different protocol, and none of them should be exposed to the internet in order to be read. A single lightweight agent sits inside the network, holds the credentials, and does the talking — outbound only.

Read-only, always

It collects inventory and configuration and nothing else. No remote shell, no remote desktop, no file transfer, no script delivery — it runs only the discovery code it shipped with.

Outbound only

It polls IntraLogic over outbound HTTPS, does the work, and posts the results back. No listening port, no firewall rule to add, no NAT entry, no VPN.

Scoped to one client

Enrollment is client-scoped, and the credentials it uses are held for that client alone and encrypted at rest.

What setting one up actually involves

1Create the client

The tenant the model and the credentials will belong to.

2Install the agent

One MSI on a Windows host inside the network, enrolled with a token.

3Add credentials

Read-only accounts for the platforms you want reached.

4Run discovery

On demand or on a schedule. Everything found goes to review.

From beta testing: one environment went from creating the client to a discovered model in about fifteen minutes — install, credentials, discover. How long yours takes depends on how many platforms and credentials are involved and how much of the environment is reachable from one place, so treat that as one observed run rather than a number to plan against. Discovery profiles, added in v5.0, mean credentials are entered once and reused rather than re-entered for every agent. What the agent can and cannot do →

The Workflow

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.

1Ingest

Docs, APIs, signals, and config come in.

2Clarify

Gaps and conflicts get questioned.

3Model

The connected model is built.

4Simulate

The engine traces failure impact.

5Review

Changes are checked before they count.

6Publish

A reviewed version becomes the baseline.

7Report

Findings export as shareable reports.

Real Platform Examples

What that model looks like in the product.

The animation shows the concept — these are real screens from IntraLogic.

Client hub overview with resilience score and module cards

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.

Why it matters

The whole estate is legible at a glance — no one has to assemble the picture from scattered tools.

Failure simulation showing a failed switch degrading hosts and storage

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.

Why it matters

Repeatable, explainable impact analysis you can stand behind in a change review — because it’s rules, not a best guess.

Path explorer tracing a healthy route end to end

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.

Why it matters

Catch a missing or single-threaded dependency while reviewing — not during an outage.

Step by Step

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.

More Than a Model

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.

Accuracy & limits

What simulation can and cannot tell you.

Simulation computes dependency impact against your documented model — what depends on what, and what stops working if a component fails. Its accuracy depends entirely on that model matching your environment.

What it does

  • Computes which objects lose a dependency when a component fails.
  • Follows discovered and documented relationships across sites, hardware, storage, virtualization and the roles that depend on them.
  • Shows where redundancy is documented — and where it is absent.
  • Produces a repeatable, explainable result: the same inputs give the same answer.

What it does not do

  • Predict physical behaviour — thermal, electrical, timing, firmware defects or vendor-specific failover quirks.
  • Verify that redundancy configured on paper actually works in practice.
  • Replace vendor-recommended testing or maintenance procedures.
  • Confirm that equipment is installed and configured to manufacturer guidance.
Read this before you rely on a result

A simulation result is an informed expectation to verify, not a guarantee. It reflects the model you have documented and discovered — not the physical condition of your equipment. Where a result matters, confirm it against vendor guidance and your own change process.