AI for Government Built in The Hague
We understand the unique requirements of Dutch public sector AI: sovereignty, accountability, GDPR compliance, and the need for explainable decisions. Our AI is built with these constraints as features, not afterthoughts.
Public sector AI challenges we understand
Legacy system debt
Decades-old systems with siloed data that resist integration — making it impossible to get a unified view of operations or citizens.
Document and process overload
Civil servants spending vast amounts of time processing applications, correspondence, and regulatory documents manually.
GDPR and data sovereignty requirements
Citizen data must stay within Netherlands/EU infrastructure. Commercial cloud AI tools often make this impossible or opaque.
Accountability and explainability
AI-assisted government decisions must be explainable and auditable. Black-box models are not acceptable in the public sector.
What we build for government
Intelligent Document Processing
Automate the classification, extraction, and routing of permits, applications, and correspondence — reducing processing time by 60–80%.
Internal Knowledge Assistants
AI Q&A systems grounded in policy documents, regulations, and procedure manuals — giving civil servants instant accurate answers.
Benefit Fraud Detection
ML models that identify anomalous patterns in benefit claims and transactions — surfacing cases for human review rather than automated decisions.
Public Data Analytics
Consolidated dashboards and predictive analytics across municipal operations — infrastructure, services, and budget — with full audit trails.
Citizen Service Automation
AI-assisted first-line response for common citizen enquiries via digital channels — with seamless escalation to human agents.
GDPR, EU AI Act, BIO — compliance built into every layer
We don't add compliance as a bolt-on. Architecture decisions, data handling, model explainability, and audit logging are designed in from the first sprint.
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