Services.
We design and build data platforms. We develop unique and intelligent software products. We engineer data to life.
Services.
Strategy & Architecture.
Everything good begins here.
Data Platforms & Engineering.
Engineered to accelerate value.
Data-Driven Software Development.
Building what hasn’t been built before.
Artificial Intelligence.
When data comes to life.
Capabilities.
Data Strategy and Architecture.
Data Architecture maturity assessment.
Vendor & Technology assessment.
AI readiness assessment.
Business case development.
Data culture and adoption.
Training and up-skilling.
CI / CD Pipeline Automation.
Data Platforms and Engineering.
Data Mesh Advisory and Implementation.
Data Engineering & Integration.
ETL and ELT Pipelines.
Data Modernisation.
Technical Delivery Management.
Privacy Engineering.
BI / Analytics.
Data-Driven Software Development.
Software Architecture.
Software Engineering.
Data Engineering.
Data Schema Design.
Decisioning and Orchestration Systems.
Technical Delivery Management.
Project Management.
UX.
Quality Assurance.
Artificial Intelligence.
AI Research.
AI Responsibility.
ML Engineering.
ML Ops.
Feature, Metric and Attribute Store Accelerators.
Data Science.
RAG Pipelines.
85% of data centric projects fail.
Ours don’t.
Engagement models.
Whatever works for you, works for us.
Industries.
Success built on success.
We work with leading enterprises, technology companies and government organisations around the world.
Public Service Delivery and Citizen Engagement
Streamline public services with data-driven tools. Use predictive analytics to allocate resources efficiently. Deploy chatbots and virtual agents for real-time support, and tailor citizen services with insights from demographics and historical interactions to enhance satisfaction and engagement.
Infrastructure and Urban Planning
Optimise urban planning with real-time data insights. Use predictive analytics to manage traffic flow and public transport efficiently. Leverage IoT for smart city initiatives, including energy management, waste collection, and environmental monitoring.
Policy Design and Outcome Measurement
Use analytics to design evidence-based policies and measure their effectiveness. Simulate policy outcomes using economic modelling and refine social programs by analysing public sentiment from social media and citizen feedback.
Environmental Sustainability and Climate Action
Support sustainability initiatives with predictive tools. Track carbon emissions with IoT and satellite imagery. Optimise resource management and model climate scenarios to inform policy decisions for long-term environmental goals.
Optimising Patient Flow and Bed Allocation
Improve hospital operations with predictive analytics. Forecast admissions, discharges, and transfers to optimise bed availability and reduce wait times.
Staffing and Scheduling Efficiency
Enhance workforce management with data-driven planning. Forecast patient demand to optimise staff schedules, minimise overstaffing or understaffing. Ensure the right people are available at the right times to meet patient needs effectively.
Supply Chain and Inventory Management
Ensure critical supplies are available when needed. Use predictive analytics to track usage patterns and prevent shortages or overstocking of medical equipment and pharmaceuticals.
Data-Driven Decision Support for Administrators
Empower hospital administrators with actionable insights. Use real-time dashboards to monitor operational metrics, identify inefficiencies, and make informed decisions. Simulate operational scenarios to plan for surges, optimise resource use, and improve patient care outcomes.
Public Health and Emergency Preparedness
Support large-scale health initiatives with predictive analytics. Forecast patient influx during public health crises or seasonal surges. Coordinate emergency responses with real-time data and optimise resource allocation to maintain service continuity during high-demand periods.
Loyalty Program Optimisation
Foster repeat business with personalised loyalty programs. Use data to identify high-value customers and offer tiered rewards or exclusive perks. Incentivise repeat purchases with dynamic points systems and personalised engagement strategies.
Customer Propensity Modelling
Focus efforts on high-value prospects. Use predictive models to identify customers most likely to convert or purchase specific products. Tailor campaigns, offers, and communication strategies to maximise sales and marketing ROI.
Fraud Detection and Anti-Money Laundering (AML)
Safeguard assets with advanced fraud and AML solutions. Detect suspicious transactions with real-time anomaly models. Monitor patterns like structuring and layering for AML compliance, and automate KYC processes with AI to improve efficiency and reduce regulatory risks.
Dynamic Pricing Strategies
Optimise pricing in real-time with AI. Adjust rates based on demand, competitor activity, and customer behaviour. Encourage urgency with targeted discounts while maintaining profitability and competitiveness, especially during peak shopping seasons.
Personalised Product Recommendations
Boost sales with AI-driven recommendation engines. Analyse browsing history, purchase behaviour, and customer similarities to suggest tailored products. Highlight complementary or frequently bought items to increase cross-sell and upsell opportunities, driving revenue and customer satisfaction.
Shopping Cart Abandonment Recovery
Recover lost sales by addressing shopping cart abandonment. Use predictive analytics to identify hesitation points and segment customers likely to return. Send personalised follow-ups, discounts, or time-sensitive offers via email or app notifications to re-engage and convert.
Streamlining Customer Journeys with AI and LLMs
Enhance customer support and onboarding with AI-powered tools and intelligent agents. Automate document validation for seamless KYC processes. Deploy AI agents to deliver personalised, real-time assistance, leveraging customer journey insights to provide consistent, efficient, and context-aware service.
Fractional Expertise
Access on-demand, high-calibre expertise with fractional support. Leverage seasoned CTOs, architects, and engineers to provide strategic advice or hands-on assistance. Scale your capabilities efficiently by filling critical gaps with experienced professionals tailored to your specific needs.
Data Foundations
Establish robust data foundations tailored to your evolving needs. Design and implement scalable data architectures and platforms that support growth and innovation. Enable seamless data integration, governance, and analytics to ensure a strong foundation for decision-making and product development.
Fraud Detection and Prevention
Mitigate fraud and protect customers. Detect suspicious return patterns and payment anomalies with machine learning. Prevent misuse of gift cards and coupons, safeguarding revenue and enhancing security.
Store Operations and Supply Chain Efficiency
Streamline operations across physical and digital channels. Forecast staffing needs with predictive models to optimise labour costs. Use IoT and analytics to predict supply chain disruptions and improve in-store layouts based on traffic heatmaps.
Marketing Effectiveness and Campaign Optimisation
Increase ROI on marketing spend. Predict customer response to promotions with propensity models. Attribute campaign success across channels and dynamically adjust digital ads in real time to maximise performance.
Customer Retention and Lifetime Value (CLV) Growth
Retain customers and maximise lifetime revenue. Predict churn and re-engage at-risk shoppers with targeted offers. Segment customers by behaviour to create personalised campaigns and optimise loyalty rewards for continued purchasing.
Inventory Optimisation and Demand Forecasting
Reduce inventory costs and avoid stock issues. Forecast demand by analysing trends, seasonality, and external factors. Automate stock replenishment to maintain optimal levels and clear slow-moving items with strategic markdowns.
Personalised Customer Experience
Boost customer loyalty and conversion rates. Recommend tailored products with AI-driven systems, dynamically adjusting prices based on demand and profiles. Track customer journeys across channels to optimise experiences and reduce friction.
Catastrophe Modelling and Risk Mitigation
Enhance preparedness for large-scale events. Analyse geospatial data and historical trends to assess disaster risks. Aggregate portfolio exposure to diversify risk and forecast claims to allocate resources efficiently during crises.
Customer Retention and Lifetime Value Optimisation
Retain policyholders and maximise revenue. Predict churn and implement retention strategies like discounts or personalised offers. Cross-sell and upsell complementary products, and segment customers to tailor communication and incentives.
Claims Processing and Customer Experience
Streamline claims and improve satisfaction. Automate triage with AI, routing simple cases for quick resolution while flagging complex ones for human adjusters. Use image recognition for damage assessment and sentiment analysis to refine service delivery.
Safeguard profitability with advanced fraud analytics.
Detect suspicious claims using anomaly detection models that flag irregular patterns. Uncover organised fraud rings through graph-based network analysis. Deploy real-time fraud scoring to assess claims at submission, reducing false positives, expediting legitimate payouts, and enhancing compliance.
Personalised Underwriting and Risk Assessment
Improve accuracy and reduce risk. Adjust premiums dynamically using data and ML-driven models that analyse individual risk factors like telematics and health data. Offer personalised policies, including usage-based insurance (UBI) or pay-as-you-drive (PAYD) options.
Single View of Policy and Claim
Enhance decision-making with unified insights. Create a single view of policies by integrating data across systems, enabling accurate underwriting, proactive service, and improved customer satisfaction. Combine this with a single view of claims to streamline processing, detect anomalies, and resolve cases faster. Eliminate data silos to drive operational efficiency and deliver a seamless policyholder experience.
Open Banking and Ecosystem Expansion
Expand opportunities with open banking. Build personal finance tools to deepen engagement. Monetise anonymised data through partnerships and leverage ecosystem analytics to deliver joint embedded finance solutions that enhance customer offerings and generate new revenue streams.
Profitability Optimisation and Cost Management
Maximise profitability with dynamic pricing models that optimise interest rates and fees. Use footfall and transaction analytics to refine branch strategies. Identify inefficiencies in back-office operations and implement automation to reduce costs and improve performance.
Streamlining Customer Journeys with AI and LLMs
Optimise onboarding and call centre interactions with AI-powered tools and large language models (LLMs). Automate document review for faster KYC processing. Use a single customer view and real-time insights to personalise interactions, anticipate needs, and dynamically adapt journeys, boosting efficiency and satisfaction.
Enhancing Customer Insights with Third-Party Data
Deepen customer understanding by enriching transaction data with external sources. Combine geodemographic data, location-based insights, and retailer collaborations to refine customer segmentation. Deliver hyper-personalised offers, proactive financial advice, and tailored rewards, boosting engagement and loyalty while ensuring data compliance
Customer Insights and Personalised Financial Services
Enhance customer experience and grow wallet share. Predict high-value customers with CLV modelling and recommend tailored products using NBO systems. Map customer journeys across channels to reduce churn and deliver hyper-personalised services that build trust and loyalty.
Customer Base Management and Retention
Reduce churn and boost customer lifetime value. Predict at-risk customers and offer retention strategies. Segment customers with AI for targeted campaigns. Analyse feedback using sentiment analysis to uncover and address dissatisfaction early, driving loyalty and long-term satisfaction.
Revenue Growth and Upselling
Drive ARPU growth with personalised offerings and targeted promotions. Suggest upgrades like premium services using recommendation systems. Bundle products with cross-sell models. Optimise pricing dynamically based on demand elasticity and customer willingness to pay.
Paid Media Optimisation
Maximise ROI with paid media optimisation and suppression. Allocate budgets effectively with media mix modelling. Target high-converting customers using predictive models. Adjust campaigns dynamically in real time, enhancing efficiency and reducing cost per acquisition.
Fraud Detection and Risk Management
Minimise fraud and enhance security. Detect anomalies in call data with machine learning to flag unusual activity. Prevent identity theft, including SIM porting scams, with real-time fraud prevention systems. Model credit risk to manage defaults and optimise terms.
Network Optimisation and Predictive Maintenance
Improve service quality and reduce costs. Predict and manage peak loads with machine learning for more efficient network traffic. Anticipate equipment failures using predictive maintenance. Optimise coverage by identifying gaps and prioritising infrastructure upgrades.
Customer Base Management and Retention
Reduce churn and boost customer lifetime value. Predict at-risk customers and offer retention strategies. Segment customers with AI for targeted campaigns. Analyse feedback using sentiment analysis to uncover and address dissatisfaction early, driving loyalty and long-term satisfaction.
Revenue Growth and Upselling
Drive ARPU growth with personalised offerings and targeted promotions. Suggest upgrades like premium services using recommendation systems. Bundle products with cross-sell models. Optimise pricing dynamically based on demand elasticity and customer willingness to pay.
Paid Media Optimisation
Maximise ROI with paid media optimisation and suppression. Allocate budgets effectively with media mix modelling. Target high-converting customers using predictive models. Adjust campaigns dynamically in real time, enhancing efficiency and reducing cost per acquisition.
Fraud Detection and Risk Management
Minimise fraud and enhance security. Detect anomalies in call data with machine learning to flag unusual activity. Prevent identity theft, including SIM porting scams, with real-time fraud prevention systems. Model credit risk to manage defaults and optimise terms.
Network Optimisation and Predictive Maintenance
Improve service quality and reduce costs. Predict and manage peak loads with machine learning for more efficient network traffic. Anticipate equipment failures using predictive maintenance. Optimise coverage by identifying gaps and prioritising infrastructure upgrades.
Fraud Detection and Anti-Money Laundering (AML)
Safeguard assets with advanced fraud and AML solutions. Detect suspicious transactions with real-time anomaly models. Monitor patterns like structuring and layering for AML compliance, and automate KYC processes with AI to improve efficiency and reduce regulatory risks.
Open Banking and Ecosystem Expansion
Expand opportunities with open banking. Build personal finance tools to deepen engagement. Monetise anonymised data through partnerships and leverage ecosystem analytics to deliver joint embedded finance solutions that enhance customer offerings and generate new revenue streams.
Profitability Optimisation and Cost Management
Maximise profitability with dynamic pricing models that optimise interest rates and fees. Use footfall and transaction analytics to refine branch strategies. Identify inefficiencies in back-office operations and implement automation to reduce costs and improve performance.
Streamlining Customer Journeys with AI and LLMs
Optimise onboarding and call centre interactions with AI-powered tools and large language models (LLMs). Automate document review for faster KYC processing. Use a single customer view and real-time insights to personalise interactions, anticipate needs, and dynamically adapt journeys, boosting efficiency and satisfaction.
Enhancing Customer Insights with Third-Party Data
Deepen customer understanding by enriching transaction data with external sources. Combine geodemographic data, location-based insights, and retailer collaborations to refine customer segmentation. Deliver hyper-personalised offers, proactive financial advice, and tailored rewards, boosting engagement and loyalty while ensuring data compliance
Customer Insights and Personalised Financial Services
Enhance customer experience and grow wallet share. Predict high-value customers with CLV modelling and recommend tailored products using NBO systems. Map customer journeys across channels to reduce churn and deliver hyper-personalised services that build trust and loyalty.
Loyalty Program Optimisation
Foster repeat business with personalised loyalty programs. Use data to identify high-value customers and offer tiered rewards or exclusive perks. Incentivise repeat purchases with dynamic points systems and personalised engagement strategies.
Customer Propensity Modelling
Focus efforts on high-value prospects. Use predictive models to identify customers most likely to convert or purchase specific products. Tailor campaigns, offers, and communication strategies to maximise sales and marketing ROI.
Dynamic Pricing Strategies
Optimise pricing in real-time with AI. Adjust rates based on demand, competitor activity, and customer behaviour. Encourage urgency with targeted discounts while maintaining profitability and competitiveness, especially during peak shopping seasons.
Personalised Product Recommendations
Boost sales with AI-driven recommendation engines. Analyse browsing history, purchase behaviour, and customer similarities to suggest tailored products. Highlight complementary or frequently bought items to increase cross-sell and upsell opportunities, driving revenue and customer satisfaction.
Shopping Cart Abandonment Recovery
Recover lost sales by addressing shopping cart abandonment. Use predictive analytics to identify hesitation points and segment customers likely to return. Send personalised follow-ups, discounts, or time-sensitive offers via email or app notifications to re-engage and convert.
Streamlining Customer Journeys with AI and LLMs
Enhance customer support and onboarding with AI-powered tools and intelligent agents. Automate document validation for seamless KYC processes. Deploy AI agents to deliver personalised, real-time assistance, leveraging customer journey insights to provide consistent, efficient, and context-aware service.
Fractional Expertise
Access on-demand, high-calibre expertise with fractional support. Leverage seasoned CTOs, architects, and engineers to provide strategic advice or hands-on assistance. Scale your capabilities efficiently by filling critical gaps with experienced professionals tailored to your specific needs.
Data Foundations
Establish robust data foundations tailored to your evolving needs. Design and implement scalable data architectures and platforms that support growth and innovation. Enable seamless data integration, governance, and analytics to ensure a strong foundation for decision-making and product development.
Catastrophe Modelling and Risk Mitigation
Enhance preparedness for large-scale events. Analyse geospatial data and historical trends to assess disaster risks. Aggregate portfolio exposure to diversify risk and forecast claims to allocate resources efficiently during crises.
Customer Retention and Lifetime Value Optimisation
Retain policyholders and maximise revenue. Predict churn and implement retention strategies like discounts or personalised offers. Cross-sell and upsell complementary products, and segment customers to tailor communication and incentives.
Claims Processing and Customer Experience
Streamline claims and improve satisfaction. Automate triage with AI, routing simple cases for quick resolution while flagging complex ones for human adjusters. Use image recognition for damage assessment and sentiment analysis to refine service delivery.
Safeguard profitability with advanced fraud analytics.
Detect suspicious claims using anomaly detection models that flag irregular patterns. Uncover organised fraud rings through graph-based network analysis. Deploy real-time fraud scoring to assess claims at submission, reducing false positives, expediting legitimate payouts, and enhancing compliance.
Personalised Underwriting and Risk Assessment
Improve accuracy and reduce risk. Adjust premiums dynamically using data and ML-driven models that analyse individual risk factors like telematics and health data. Offer personalised policies, including usage-based insurance (UBI) or pay-as-you-drive (PAYD) options.
Single View of Policy and Claim
Enhance decision-making with unified insights. Create a single view of policies by integrating data across systems, enabling accurate underwriting, proactive service, and improved customer satisfaction. Combine this with a single view of claims to streamline processing, detect anomalies, and resolve cases faster. Eliminate data silos to drive operational efficiency and deliver a seamless policyholder experience.
Optimising Patient Flow and Bed Allocation
Improve hospital operations with predictive analytics. Forecast admissions, discharges, and transfers to optimise bed availability and reduce wait times.
Staffing and Scheduling Efficiency
Enhance workforce management with data-driven planning. Forecast patient demand to optimise staff schedules, minimise overstaffing or understaffing. Ensure the right people are available at the right times to meet patient needs effectively.
Supply Chain and Inventory Management
Ensure critical supplies are available when needed. Use predictive analytics to track usage patterns and prevent shortages or overstocking of medical equipment and pharmaceuticals.
Data-Driven Decision Support for Administrators
Empower hospital administrators with actionable insights. Use real-time dashboards to monitor operational metrics, identify inefficiencies, and make informed decisions. Simulate operational scenarios to plan for surges, optimise resource use, and improve patient care outcomes.
Public Health and Emergency Preparedness
Support large-scale health initiatives with predictive analytics. Forecast patient influx during public health crises or seasonal surges. Coordinate emergency responses with real-time data and optimise resource allocation to maintain service continuity during high-demand periods.
Public Service Delivery and Citizen Engagement
Streamline public services with data-driven tools. Use predictive analytics to allocate resources efficiently. Deploy chatbots and virtual agents for real-time support, and tailor citizen services with insights from demographics and historical interactions to enhance satisfaction and engagement.
Infrastructure and Urban Planning
Optimise urban planning with real-time data insights. Use predictive analytics to manage traffic flow and public transport efficiently. Leverage IoT for smart city initiatives, including energy management, waste collection, and environmental monitoring.
Policy Design and Outcome Measurement
Use analytics to design evidence-based policies and measure their effectiveness. Simulate policy outcomes using economic modelling and refine social programs by analysing public sentiment from social media and citizen feedback.
Environmental Sustainability and Climate Action
Support sustainability initiatives with predictive tools. Track carbon emissions with IoT and satellite imagery. Optimise resource management and model climate scenarios to inform policy decisions for long-term environmental goals.
