We have been building intelligence into enterprises for over 10 years, first with data science, Machine Learning and predictive analytics, and now Gen AI and Agentic AI. Your AI is only as good as its context, the data, and infrastructure reliability. With our deep data expertise, we ensure AI project success from the ground up, with integrated data platforms that are optimised for AI.
Our implementations take you through the entire AI lifecycle, starting with readiness assessments and identifying high-impact use cases, all the way through to implementation, deployment, scaling, and continued support.
Our expert consultants can help you identify and prioritise AI use cases and assess their potential business impact, and recommend the optimal AI platforms, tools, and architectures tailored to your requirements. We also offer AI readiness evaluations to assess organisational maturity, technical capabilities, data infrastructure, and cultural readiness for AI adoption.
Our advisory doesn’t just stop there; we support you to drive organisation-wide AI literacy, change management and implementation support, in order to make sure that your AI implementations are successful and deliver tangible value.
We help you automate and augment your existing processes with Gen AI and agentic solutions. From use-case design, selecting the right models for the optimal balance of quality and cost, fine-tuning, RAG architecture, custom MCP tools and integrations, agent orchestration, testing, deployment and integrating solutions securely into your existing systems.
Key Applications
Workflow Automation
Talk to Your Data
Automatic Document Processing
Customer Support
Creative Services
With Predictive AI, you can predict and anticipate outcomes based on your historical data. Our expert team can help you select the right ML model, fit it to the right context, decide where human review is needed for edge cases, and create forecast projects tied to specific business decisions and outcomes.
Key Applications
Demand Prediction
Price & Revenue Management
Predictive Maintenance
Churn Prediction
Fraud Detection
We help you implement optimisation solutions based on AI, which help you make the optimal decisions for your processes, whilst accounting for business objectives, constraints, and live data.
Key Applications
Supply Chain Network Optimisation
Blending & Mixing Elements
Predictive Maintenance
Scheduling
Our experts can empower your business to gain a competitive advantage by making personalised content recommendations to your customers using historical purchase data and behaviour.
Key Applications
E-Commerce Product Recommendation
Content & Feed Re-Ranking
Email & Marketing Personalisation
We implemented advanced customer segmentation to optimise reward marketing. Customer retention improved by ~14%, demonstrating the effectiveness of targeted incentives in building loyalty and driving long-term value.
We developed a predictive fuel sales forecasting model to ensure timely replenishment and avoid stockouts. Our solution helps maintain optimal inventory levels, reducing operational disruptions and improving service reliability.
We applied propensity modelling to identify customers most likely to purchase non-fuel retail items. This enabled targeted promotions and recommendations, resulting in ~21% increase in non-fuel retail conversion rates.
We implemented market basket analysis and uncovered product affinities and common purchase patterns. These insights guided optimised shelf layouts and product placements, thus increasing basket size per visit.
We designed & implemented an organisation-wide agentic AI chat system based on multiple specialised agents, that enables users to obtain specific information through natural language queries.
We deployed an AI-powered helpdesk chatbot to assist BI platform users with real-time support. It delivers accurate, context-aware answers instantly, eliminating the need for manual documentation searches.
We designed and implemented a robust end-to-end Machine Learning Operations (MLOps) platform tailored for scalability and adaptability; thus minimising operational bottlenecks and boosting overall productivity.
We implemented a real-time recommender system that suggests personalised contract extension offers based on customer behaviour and preferences, significantly enhancing the overall customer experience and retention.
We implemented advanced customer segmentation to optimise reward marketing. Customer retention improved by ~14%, demonstrating the effectiveness of targeted incentives in building loyalty and driving long-term value.
We developed a predictive fuel sales forecasting model to ensure timely replenishment and avoid stockouts. Our solution helps maintain optimal inventory levels, reducing operational disruptions and improving service reliability.
We applied propensity modelling to identify customers most likely to purchase non-fuel retail items. This enabled targeted promotions and recommendations, resulting in ~21% increase in non-fuel retail conversion rates.
We implemented market basket analysis and uncovered product affinities and common purchase patterns. These insights guided optimised shelf layouts and product placements, thus increasing basket size per visit.
We designed & implemented an organisation-wide agentic AI chat system based on multiple specialised agents, that enables users to obtain specific information through natural language queries.
We deployed an AI-powered helpdesk chatbot to assist BI platform users with real-time support. It delivers accurate, context-aware answers instantly, eliminating the need for manual documentation searches.
We designed and implemented a robust end-to-end Machine Learning Operations (MLOps) platform tailored for scalability and adaptability; thus minimising operational bottlenecks and boosting overall productivity.
We implemented a real-time recommender system that suggests personalised contract extension offers based on customer behaviour and preferences, significantly enhancing the overall customer experience and retention.
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