Customer cloud isolation
IgniteIQ never holds your data outside your account. There is no shared multi-tenant warehouse.
Your warehouse holds your data. Our intelligence framework runs alongside it.
The IgniteIQ architecture deploys directly into your owned enterprise-grade cloud account — provisioned for you. Every line of business — every job, customer, technician, truck — gets resolved into a single model that lives in your warehouse and is queried by the framework. Your data never leaves your IAM.
03 Headless by design
Headless by design
The product is the infrastructure. The interface is your choice.
IgniteIQ is headless by design. In software, “headless” means a product where the underlying platform – the data, the logic, the actions – is decoupled from any single user interface. The platform runs underneath; the interface is interchangeable. It can be a dashboard, a spreadsheet, a Slack message, a custom app, or no human surface at all.
The IgniteIQ infrastructure runs inside your cloud. The output can live in our studio if you want a place to start. It can flow into the tools your team already uses. It can power custom applications your developers build on top of it. And it can be acted on directly by AI agents and automations without any human surface at all. The platform doesn’t depend on the head – and that’s the point. The world’s largest enterprise software companies are spending years rebuilding their products this way. We started here.
The old model
The headless model
A SaaS app you log into
A platform that runs in your cloud
Seats, licenses, and dashboards
APIs, ontology, and agents
One UI, take it or leave it
Any interface — or no interface at all
Your data lives in their product
Your data lives in your warehouse
You rent the interface
You own the infrastructure
04 How it deploys
From contract to live
Deployed Fast. Decades of Value.
Versioned. Auditable. Every deployment ships through the same defined process — and every framework update flows back to every operator on the platform.
Day 0
Workspace provisioned
Snowflake/BigQuery account stood up under your credentials. Ontology framework v4.2 deployed as code.
Day 1–2
Source systems connected
CRM, dispatch, accounting, marketing. 15–25 systems. Pipelines land raw data into your warehouse.
Day 3–5
Ontology activated
Resolution layer maps source records into ontology entities. Identity stitching runs across systems.
Day 6–7
Live decisions
Armory Intel queries the resolved ontology. Signal monitors it. Agents act on it. All inside your cloud.
Ongoing
Versioned, compounding
Framework updates ship via git. New entities, edge cases, and patterns flow back from every deployment.
05 Security model
Security
Your data, safe. Secured. Governed.
Scoped credentials
The framework reads under a least-privilege role. Read scope is documented and audited per-deployment.
Audit logging
Every framework query is logged in your warehouse, queryable by you, retained on your terms.
Versioned framework
You pin the framework version. Updates ship with release notes; you decide when to take them.
SOC 2 in-flight
Type II audit underway. Standard enterprise controls, security questionnaires, and DPA available.
No PII training
No customer data is used to train models outside the customer environment. Period.
Ready to deploy
Ready to deploy
Get started today.
From contract to a live, queryable intelligence engine in seven days. We share security documentation, deployment plans, and a price up front.