Trusted by the world's most innovative companies
THE REALITY
Models in S3. Datasets in Snowflake. Endpoints in production. Documentation in Confluence. Ownership in someone's head. When governance needs answers, the search starts from scratch every time.
Cloud storage buckets
Data platforms
MLOps tools
Documentation wikis
Team Slack channels
Email threads
AI assets are spread across dozens of systems—each with partial information, none with the full picture.
Spreadsheet registries
Outdated
Naming conventions
Inconsistent
Ownership records
Incomplete
Version histories
Fragmented
Every team tracks AI differently. Some don't track at all.
"Who owns this model?"
"What data does it use?"
"Is it in production?"
"When was it last reviewed?"
"Does it fall under EU AI Act?"
Basic questions take days—or go unanswered.
THE CAPABILITY
Centralised Assets Inventory is the single source of truth for your AI landscape—structured, searchable, and connected to the governance workflows that need it.
HOW IT WORKS
The inventory builds itself from AI Discovery scans and manual registrations—then keeps itself current.
Entry Paths
AI Discovery
Auto scan
Manual
Self-service forms
Bulk Import
CSV/API upload
Integrations
MLOps sync
AI Discovery continuously feeds detected assets into the inventory. Teams can also register assets manually for systems outside scanning scope.
Incoming assets are classified by type, assigned risk tiers, and enriched with metadata from connected systems. Governance teams can review and refine.
The inventory updates as your AI landscape changes. New deployments appear. Status changes propagate. Stale assets are flagged.
THE OUTCOME
Audit response time
Asset coverage
Ownership accountability
Duplicate/redundant AI
