We architect, build, and deliver complex technology projects end-to-end. From legacy system migrations to custom AI pipelines, our team brings enterprise-grade rigour to every engagement.
Each engagement is scoped, architected, and delivered with the same methodology used at Capgemini and Capita. We operate across six core disciplines.
We design and deploy production-grade AI systems using Python, TensorFlow, PyTorch, and cloud-native ML services. Our projects range from NLP pipelines processing millions of documents for public sector clients to computer vision systems for quality control in manufacturing. Every model is built with MLOps best practices — versioned, monitored, and continuously retrained.
We map existing business processes, identify bottlenecks, and implement automation using tools like UiPath, Power Automate, Zapier, and custom-built orchestration layers. Our projects have eliminated thousands of manual hours for councils, financial services firms, and logistics companies. We build integrations across ERPs, CRMs, and legacy systems using REST/SOAP APIs and middleware platforms like MuleSoft and Apache Kafka.
We implement, customise, and migrate CRM platforms including Salesforce, HubSpot, Microsoft Dynamics 365, and Zoho. Our projects include full data migration from legacy systems, custom object and workflow configuration, third-party integration, and user training programmes. We've delivered CRM transformations for organisations with 50 to 5,000+ users, including complex multi-entity rollouts.
We build custom software using modern frameworks — React, Next.js, Node.js, Python (Django/Flask), and .NET. Our delivery follows agile sprints with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps), containerised deployments via Docker and Kubernetes, and infrastructure-as-code using Terraform. Projects include internal business tools, customer-facing portals, mobile applications (React Native, Flutter), and API-first microservice architectures.
Our founders come from data science backgrounds at Capgemini and Capita — this is our DNA. We build ETL/ELT pipelines using Apache Spark, Airflow, and dbt, warehouse data in Snowflake, BigQuery, or Redshift, and deliver insights through Power BI, Tableau, and Looker dashboards. Projects include demand forecasting models, customer churn prediction, fraud detection systems, and real-time analytics platforms processing millions of events daily.
Large-scale migration is where we thrive. We've migrated on-premise infrastructure to AWS, Azure, and GCP for organisations including councils, financial services, and logistics firms. Our methodology covers discovery and assessment, dependency mapping, phased migration planning, data migration with zero downtime strategies, and post-migration validation. We handle database migrations (Oracle to PostgreSQL, SQL Server to cloud-native), application re-platforming, and full legacy system decommissioning.
We are platform-agnostic and select the right tools for each engagement. Our team holds certifications across major cloud providers and enterprise platforms.
AWS · Microsoft Azure · Google Cloud Platform · Docker · Kubernetes · Terraform · CloudFormation · Jenkins · GitHub Actions
Python · R · Apache Spark · Airflow · dbt · Snowflake · BigQuery · Redshift · Databricks · Power BI · Tableau · Looker
TensorFlow · PyTorch · Scikit-learn · OpenAI · LangChain · Hugging Face · SageMaker · Vertex AI · MLflow · spaCy
React · Next.js · Node.js · Django · Flask · .NET · TypeScript · React Native · Flutter · PostgreSQL · MongoDB · Redis
Salesforce · HubSpot · Microsoft Dynamics 365 · Zoho · UiPath · Power Automate · Blue Prism · MuleSoft · Zapier
Oracle · SQL Server · PostgreSQL · MySQL · MongoDB · DynamoDB · Apache Kafka · RabbitMQ · Elasticsearch
Technical audit of existing systems, stakeholder interviews, dependency mapping, and gap analysis. We produce a detailed assessment document with recommendations.
Solution architecture, technology selection, risk assessment, and phased delivery roadmap. All projects include documented technical specifications and sign-off gates.
Agile sprints with fortnightly demos, automated testing, CI/CD pipelines, and staged rollouts. Code reviews, security scans, and performance testing at every stage.
Post-deployment monitoring, SLA-backed support, performance optimisation, and knowledge transfer. We document everything and train your team to own the solution.
Book a technical consultation to discuss your requirements. We'll assess feasibility, outline architecture options, and provide a detailed proposal.