AI & Data Intelligence
for the Future
We empower enterprises and government agencies to unlock actionable insights and drive innovation with cutting-edge AI and data strategies.
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Our Core Services
AI Strategy & Consulting
We help organizations define and execute AI initiatives, creating roadmaps for data-driven transformation.
Data Engineering & Analytics
Build robust data infrastructure and unlock insights with advanced analytics and big data solutions.
Machine Learning & Deep Learning
Develop and deploy custom machine learning models to automate processes and predict outcomes.
Data Governance & Security
Ensure data quality, compliance, and security with comprehensive governance frameworks and protection strategies.
Engagement snapshots
A sample of the work we have done across government, regulated industries, and international organisations.
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.
High-throughput financial data pipeline with ML feature engineering
Designed and built a production data pipeline in Rust that ingests, deduplicates, and enriches transaction data from multiple sources. The pipeline produces a clean append-only transaction store and computes consumer-level features used as inputs to credit and risk models.
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.
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.
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.
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.
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.
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