Practical AI.
Dependable delivery.
We help public-sector and regulated organisations adopt AI, modernise enterprise architecture and improve integration. From strategy to hands-on engineering, including tools for IBM webMethods migration.
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Our Core Services
Consultative strategy
Turn business priorities into a practical roadmap, with clear ownership and decisions your teams can act on.
Explore this service →AI adoption and governance
Choose useful AI applications, set clear guardrails and build evaluation and oversight into everyday delivery.
Explore this service →Platform and architecture modernisation
Modernise integration, cloud platforms and enterprise architecture with reliability and security built in.
Explore this service →Applied ML and AI systems
Build dependable classification, anomaly detection and AI-assisted systems, with measurable quality and monitoring.
Explore this service →Products for IBM webMethods
Assess your code, automate corrections and check behaviour before you migrate.
CxQuality · CxRepair · CxAudit · CxMigration
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Engagement snapshots
A sample of the work we have done across government, regulated industries, and international organisations.
AI-assisted fraud detection for bank statement documents
Built a fraud detection system that analyses the structural and metadata properties of PDF bank statements. Uses profile-based anomaly detection to identify documents that deviate from known-good templates, flagging likely tampering before downstream processing.
AI and Data Competence Centre setup
Supported a national ministry in establishing a Data and AI competence centre from the ground up. Work covered the organisational model, governance frameworks, AI project intake and prioritisation, and board-level reporting on portfolio progress.
Data quality strategy and ML for a global standards body
Led data quality strategy and ML model development for an international standards organisation. Delivered a cloud-based quality dashboard, a global validation rules engine, and chaired an international member working group on data quality practices.
Multi-language SDK for a financial data API
Designed and published a multi-language SDK covering Python, Java, and TypeScript for a financial data platform. Ships with automated CI pipelines for testing and publishing to a private registry. AI-assisted tooling was used to maintain consistency across language implementations.
Solution architecture for a national digital service catalogue
Designed the solution architecture for a national government service catalogue and developed a strategy to grow adoption across local, regional, and national government. Aligned the design with Dutch government interoperability standards.
Production ML service for banking transaction classification
Designed and built a production microservice that classifies personal and business banking transactions in real time. The system combines pattern matching with ML-based category inference, achieving over 96% accuracy at high throughput on live financial data.
Integration and identity architecture in a national regulator
Produced architecture standards for system integration and identity management across a national regulatory authority. Supported the adoption of an API platform and led vendor selection and market consultation processes.
What do you need to change?
Tell us your goal, your current environment and your constraints. We will help you choose a practical next step.
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