Databallast
Data ready for AI, at scale
Get your organisation's data ready for AI at scale - a shared business language, mapped and certified data, and DAMA-aligned governance that keeps every AI grounded in data it can trust.
AI doesn't fail on models. It fails on data.
Every serious AI initiative lands on the same blockers: no shared business language, no clear picture of what data exists or who owns it, and no way to say whether a dataset can legally and safely be used by an AI. Generative AI amplifies data debt - an ungoverned data estate becomes an ungoverned AI estate.
Data catalogs and governance programs exist, but none of them answer the question boards now ask: is our data actually ready for AI? Databallast is built around that question - getting one dataset ready is a project; keeping the whole estate ready, use case after use case, is what Databallast does. The ballast that keeps the AI ship stable.
How Databallast helps your organisation
One business language for people and AI
A governed business glossary and logical business information model give your organisation - and your AI - a single, approved meaning for every term.
Know your data, end to end
A living catalog of datasets with ownership, classification, quality and lineage - including which AI systems consume which data.
Certify data AI-ready
Every dataset is assessed for rights and licensing, privacy, quality, freshness, bias, documentation and retrieval-readiness - and earns an AI-Ready mark a CDO can stand behind.
Governance as an operating capability
DAMA-aligned stewardship, policies, quality rules and issue management - plus a maturity assessment that shows the board measurable progress.
What Databallast does
Chief Data Officers, data governance and architecture leaders, and AI leads who need their data estate ready for AI - and provable.
- Business glossary with approval workflow and AI-context annotations
- Metadata catalog, classification and data lineage
- Logical business information model mapped to glossary and datasets
- DAMA-DMBOK data maturity assessment with uplift roadmap
- Data products and AI use cases with readiness gating
- DAMA-aligned governance: stewardship, policies, quality rules, issues
- AI-readiness certification per dataset (rights, privacy, quality, bias, retrieval)
- Feeds Execdive's semantic layer, Meshbone data dependencies and Orbit roadmaps
See Databallast for yourself
Visit databallast.com to go deeper, or talk to us about how Databallast fits your organisation.
Part of one accountable AI lifecycle
Arrochar Labs builds AI as one lifecycle - discover, govern, operate, ground, decide. Each product is a pillar.
See the full framework →