Start from scratch
A slow integration programme: identify vendors, procure access, reconcile incompatible fields, resolve entities, validate provenance and repeat the work for every new use case.
Build from scratch vs activate DataGardener
The strategic choice facing sovereign UK AI
The Sovereign AI Unit can assemble fragments from many vendors, or convert a production-grade UK business data estate into a Foundry for the whole national system.
See the data assetActivate DataGardener
A faster national capability: turn an already connected UK business intelligence estate into governed infrastructure for enterprise AI, public procurement and local growth.
Comparison
The difference is not a dataset. It is years of national capability.
Supplier discovery
Find many companies with one or two partial datasets
Use a single connected estate spanning entity, place, procurement and risk
Data joining
Negotiate schemas, identifiers and licensing repeatedly
Start from an existing entity-resolution layer and canonical graph
Provenance
Retrofit auditability after integration
Carry source-level attribution, freshness and confidence from the start
Time to value
Spend years building plumbing before AI assets can use it
Move quickly to pilots, benchmarks and operational intelligence
National reuse
Each department creates another partial join
One foundation supports all sovereign AI projects and departments
Losses avoided
What the Sovereign AI Unit protects by using a connected data foundation
Years lost negotiating piecemeal access to partial data estates
Patchy national coverage with inconsistent local and SME visibility
No single provenance chain for explainable AI decisions
Duplicate spend across departments rebuilding the same entity joins
Weak benchmarks because test sets are not grounded in verified UK data
Reduced procurement intelligence, supplier discovery and resilience insight
Missed regional growth signals linking companies, jobs, skills and universities
Higher operational risk from incompatible schemas and unresolved entities
Less reusable infrastructure for national AI assets and enterprise intelligence