AI Inventory - Uncover the full potential of your AI

One source of truth for every AI system

A live, searchable inventory that tracks every model, dataset, and deployment so governance decisions start with a complete picture.

Track models, agents, APIs, datasets, and applications in one place

Assign clear ownership with business and technical accountability

Generate compliance reports for EU AI Act, NIST, and ISO 42001

THE CHALLENGE

You can't govern what you can't see

AI is everywhere, but your inventory isn't. Spreadsheets go stale. Teams forget to register. Auditors ask what AI you have, you scramble.

Scattered Records

AI assets tracked in spreadsheets, wikis, and tribal knowledge that age instantly. When auditors come knocking, teams scramble to piece together a complete picture from dozens of disconnected sources.

73% of enterprises lack a single AI inventory

No Single View

Different teams use different tools—no unified enterprise inventory

Missing Ownership

No clear accountability for governance or compliance

Audit Panic

Regulators request a full AI inventory—and it takes weeks to assemble

Compliance Gaps

Can't demonstrate governance if you don't know what AI exists

BENEFITS

Why centralize your AI inventory?

Complete visibility. Clear ownership. Continuous compliance.

01

Complete Visibility

See every AI system—models, agents, APIs, and applications—in one registry

02

Clear Ownership

Assign accountable business and technical owners to every asset

03

Risk Awareness

Track risk scores, assessments, and compliance status per system

04

Audit Readiness

Generate AI Bill of Materials and compliance reports instantly

THE CAPABILITY

Every AI asset. One place. Always current.

Centralised Assets Inventory is the single source of truth for your AI landscape—structured, searchable, and connected to the governance workflows that need it.

All assets, one view

Every AI artifact—models, datasets, endpoints, pipelines, agents—lives in a single, structured registry. No more hunting across systems.

Models

Trained models, fine-tuned LLMs, deployed endpoints

Datasets

Training data, evaluation sets, synthetic data

Pipelines

Training workflows, inference pipelines, ETL jobs

Agents

Autonomous systems, multi-agent deployments

APIs

Internal services, third-party integrations

Dependencies

Libraries, frameworks, model versions

HOW IT WORKS

Assets flow in. Structure flows out.

The inventory builds itself from AI Discovery scans and manual registrations—then keeps itself current.

01

Entry Paths

AI Discovery

Auto scan

Manual

Self-service forms

Bulk Import

CSV/API upload

Integrations

MLOps sync

Automatic and manual ingestion

AI Discovery continuously feeds detected assets into the inventory. Teams can also register assets manually for systems outside scanning scope.

02

🏷️ Auto-classification

⚖️ Risk scoring

👤 Owner assignment

🗺️ Framework mapping

📋 Policy tagging

Structure applied automatically

Incoming assets are classified by type, assigned risk tiers, and enriched with metadata from connected systems. Governance teams can review and refine.

03

Automatic Updates

New deployment

Asset created

Version update

History updated

Model retired

Status changed

Assessment done

Compliance updated

Real-time inventory updates

The inventory updates as your AI landscape changes. New deployments appear. Status changes propagate. Stale assets are flagged.

ASSET DETAILS

Rich metadata for every AI asset

Capture everything you need for governance, compliance, and operations

Field Category

Fields Tracked

Basic Information

Name, Description, Category, ID

Classification

Risk level, EU AI Act tier, Use case type

Ownership

Named business and technical owners with defined escalation paths

Lifecycle

Status, Create date, Last modified, Version History

Linked Artifacts

Models, APIs, Datasets, Documents, Repositories

Compliance

Framework mappings, Assessment status, Evidence

Risk Scores

Efficacy, Robustness, Bias, Privacy, Security, Explainability

INTEGRATIONS

Connect to where your AI lives

50+ connectors to automatically discover and sync AI assets

Cloud Platforms

AWS, Azure, Google Cloud

ML Platforms

Databricks, Snowflake, SageMaker

Code Repositories

GitHub, GitLab, Bitbucket

LLM Providers

OpenAI, Anthropic, Azure OpenAI

Observability

Langsmith, Langfuse, AgentOps

Enterprise

ServiceNow, Confluence, SharePoint

COMPLIANCE

AI inventory is a compliance requirement

Regulators expect you to know what AI you have. Here's how inventory supports compliance.

EU AI Act Article 9 – Risk Management

A centralized inventory is the foundation of risk management. You cannot manage risk without knowing what AI systems exist across your organization.

EU AI Act Article 13 – Transparency

Complete, up-to-date records of all AI systems enable transparency reporting and disclosure obligations required by the regulation.

NIST AI RMF Map Function

Identifying AI systems is the first step in the NIST AI Risk Management Framework. A centralized inventory fulfills the Map function requirement.

ISO 42001 Asset Management

Requires a documented inventory of AI systems under management, with clear ownership, classification, and lifecycle tracking.

VALUE

What centralized inventory enables

A centralized AI inventory transforms AI governance from documentation to operational control.

Single source of truth

Eliminate scattered spreadsheets and stale records. All AI assets in one centralized registry.

Clear accountability

Faster regulatory response

Risk visibility

Governance foundation

FAQ

Frequently asked questions

What types of AI assets can be tracked?

How do assets get into the inventory?

Can I customize the asset schema?

How does ownership assignment work?

Does it integrate with our existing tools?