What data is ingested
The platform ingests three categories of data:- Spend data: provider invoices, cost and usage reports, and billing exports. This is the raw financial record of what was paid to each provider.
- Consumption data: token usage, API call volumes, compute hours, and storage consumption. This is the operational record of what was used.
- Business context: the taxonomy that maps spend to business activity, covering team structure, product lines, feature names, customer segments, and initiative labels. This is what the platform uses to attribute cost to the right owner.
Business context is defined by the organisation. Optimaze does not impose a structure; it applies yours. You define what products, teams, customers, and initiatives mean for your business.
How data stays current
Keeping an economic model current typically requires ongoing analytical effort: reconciling billing changes, updating cost allocations, and maintaining tagging taxonomies. Optimaze removes that inefficiency.Agentic processes run continuously in the background to normalise cost data across providers, resolve naming inconsistencies, and enrich billing records with the business context needed for attribution. As new billing data arrives, the model updates. There is no scheduled refresh, no manual reconciliation, and no engineering involvement required to keep the economic picture current.
What this means in practice
Implementation timelines
Connecting data sources and getting to a working economic model does not require a lengthy implementation programme. The platform is designed for speed:- Real-time cost allocation breakdowns are typically live within an afternoon of initial connection.
- Unit economics, including cost per outcome and cost per customer, are typically configured within days.
- Executive investment reporting is available as soon as attribution is in place.

