Connected data
Integrate CRM, ERP, finance and product data.
Data & Analytics
Data Engineering
Reliable pipelines and warehouses that bring all your data together.
Overview
We design data architecture that connects your systems: pipelines, warehouses and lakehouses that keep data accurate, timely and ready for analytics and AI.
Benefits
Why clients choose Data Engineering
Automated pipelines
Scheduled, monitored and self-healing ETL/ELT.
Scalable storage
Modern warehouses that grow with you.
Governed
Data quality, lineage and access controls.
FAQ
Questions, answered
Can't find what you're looking for? Our team is happy to help.
We work with OpenAI (GPT models), Anthropic Claude, Google Gemini, Azure OpenAI and AWS Bedrock, plus open-source models where they make sense. We pick the model for each task based on quality, speed, cost and data requirements, and design so you can switch providers later.
Yes. We use enterprise agreements and private deployments where needed, minimise and redact personal data, apply access controls and log what AI systems do. We document data flows so you can explain them to your customers and auditors.
A focused proof of concept typically takes two to four weeks. A production-ready chatbot, assistant or AI feature is often six to twelve weeks, depending on integrations and the review steps required.
Absolutely. AI integration is one of our most common projects: adding summaries, smart search, classification, predictions or assistants inside the CRM, ERP, helpdesk or custom platform your teams already use.
Our engineering hub is in Colombo, Sri Lanka (Parkland Building, Colombo 02) and our client partnerships team is in London (128 City Road, EC1V). Most clients work with both.
Let's build what's next.
Whether it's an AI agent, a new product or an extra pair of hands, tell us what you're working on. We'll reply within one working day.