AI & Data Engineering Services
We connect AI and data to real business workflows, with model fine-tuning, open-source models and the data engineering underneath them
We Will Help You
Start from a measurable use case
Before resources are committed, we define a measurable AI use case and confirm the workflow, data access, ownership and success measures.
Get your data ready for AI
Data quality, storage and access are assessed before any model development, and spreadsheet or legacy data is consolidated and put under access control.
Fine-tune and refine models
We fine-tune and refine models, including open-source models, and turn machine learning and generative AI into production systems.
Connect AI to real workflows
We do not add AI everywhere. We connect it to the way your teams already work, where it improves a decision or removes manual work.
Keep models working in production
We build the data engineering, monitoring and governance underneath, with build, release and monitoring pipelines, so what works in a pilot keeps working in production.
Turn data into insights
Our engineers have enhanced machine learning and data engineering workflows, optimised data dashboards for better insights and supported a health data analytics platform.
What We Do
We take AI from a measurable use case to production in four stages, so what works in a pilot keeps working in production.
Assessment & scoping
We define a measurable AI use case and confirm the workflow, data access, ownership and success measures before committing resources.
Data preparation
We audit source quality, access permissions and data ownership, and consolidate spreadsheet or legacy data with access control before model development.
Model development & integration
We fine-tune and refine models and connect them to your workflows. For high-risk use cases we plan human oversight, accuracy and bias testing, and regulatory documentation (EU AI Act, GDPR where relevant).
Deployment & feedback loop
Build, release and monitoring pipelines for software and ML systems, so every change ships safely and every model stays observable.
Technologies We Work With
Azure
Proficient in harnessing Azure's range of Cloud Computing Services for efficient deployment and orchestration.
AWS
Expertise in Utilizing On-Demand Cloud Computing Services with Various Pay-as-You-Go Models.
Kubernetes
Proficiency in Container Orchestration, Scaling, and Software Deployment.
