The cost of missing strategic data
Without strategic UK datasets, the country either spends years rebuilding entity resolution, provenance, procurement intelligence, skills signals and local context from scratch — or it activates a sovereign UK company with the connected data estate already in place. The question is not what SDF costs. It is what the UK loses without it.
Explore the strategic choiceGrant-ready evidence
Each headline risk links to a provenance layer, dataset trail and use-case proof point already documented on the site.
13 UK-specific benchmark tasks operationalised
25-40% shorter supplier discovery cycles
500-2,000 high-potential SMEs surfaced per national scan
Time lost
Starting from scratch means negotiating multiple datasets, resolving schemas, joining entities and proving provenance before the AI unit can answer national questions.
Value at risk
Every month without the foundation delays better procurement, supplier resilience, local growth targeting, AI assurance and reusable benchmark infrastructure.
FOMO made explicit
A sovereign UK data company can reveal firms, places, suppliers, skills and ownership patterns before fragmented programmes discover them independently.
17.2M
UK company and business records
A national-scale business intelligence estate ready to be structured for sovereign AI.
40+
authoritative data sources
Corporate, procurement, finance, ESG, property, skills, trade and derived intelligence.
1
canonical entity layer
A joined identity spine for companies, people, places, ownership and public-sector signals.
13
benchmark tasks
UK-specific evaluation tasks for AI models, agents and public-sector workflows.
Strategic choice calculator
Model the difference between a multi-year rebuild and a governed data foundation that can be reused across departments, pilots and AI assets.
Time-to-impact
Start from scratch
30m
Use SDF foundation
6m
Estimated time saved: 24 months, making impact roughly 5.0× faster.
Cost at risk
£108.0m
Value potentially delayed while duplicated data plumbing is rebuilt.
Value of reuse
£21.6m
Indicative reusable value from applying the same governed foundation across 8 projects.
What is at risk
The risk is not only missing data. It is time, trust, coverage and repeatability lost across every AI project that has to rebuild the same foundation.
01
Years lost negotiating piecemeal access to partial data estates
02
Patchy national coverage with inconsistent local and SME visibility
03
No single provenance chain for explainable AI decisions
04
Duplicate spend across departments rebuilding the same entity joins
05
Weak benchmarks because test sets are not grounded in verified UK data
06
Reduced procurement intelligence, supplier discovery and resilience insight
07
Missed regional growth signals linking companies, jobs, skills and universities
08
Higher operational risk from incompatible schemas and unresolved entities
09
Less reusable infrastructure for national AI assets and enterprise intelligence
Who it helps
The same connected data foundation can serve departments, regions and research teams with tailored evidence, benefits and decision support.
Department
For central departments that need trusted enterprise intelligence across procurement, security, growth, energy and public-service resilience.
Department impact cards
Each card connects departmental decisions to the most relevant provenance sources, grant-ready use cases and measurable outcomes already defined in the Foundry.
Sovereign AI Unit
A common foundation for model evaluation, enterprise intelligence and trusted AI agents.
Operational foundation
The Foundry gives public-sector AI assets a consistent entity spine, local intelligence layer, provenance trail and benchmark suite, so each project starts from trusted national context rather than raw fragments.