One source of truth
Unified, modelled data that every team can rely on.
We design and build the modern data foundation your business runs on — warehouses, lakes, pipelines, models and governance that keep data clean, connected and trustworthy. As a data architecture company with 15+ years in software and AI, we turn scattered, siloed data into a scalable platform ready for analytics, BI and AI.
Tell us about your project — we will reply within one business day.
Slow reports, conflicting numbers and stalled AI projects almost always come from a weak data foundation — silos, duplicated data and no governance. Our data architecture services fix the root cause: a modern, well-modelled, governed platform that makes every downstream analytics, BI and AI initiative faster, cheaper and more reliable.
Unified, modelled data that every team can rely on.
Data governance, quality and security built into the design.
A cloud-native foundation ready for analytics and machine learning.
End-to-end data architecture — from strategy and modelling to warehouses, pipelines, governance and modernisation. As a data architecture consulting company, we design and build data architecture solutions that fit your business and scale with it.
Data architecture consulting services that design the right foundation for you. Here's how we approach it:
Data modeling services — conceptual, logical and physical models, dimensional and data-vault designs — that structure your data for performance, clarity and consistency.
Design and build of cloud data warehouses, data lakes and lakehouses — Snowflake, BigQuery, Databricks and more — sized and structured for your analytics and AI workloads.
Reliable ETL/ELT pipelines and integration that bring every source together — batch and real-time — so data flows into your platform clean, consistent and on time.
Data governance services — cataloguing, lineage, quality, access control, privacy and compliance — that make your data trustworthy, secure and audit-ready.
Modern data architecture services — data mesh, lakehouse and streaming patterns on cloud — that replace brittle legacy stacks with a scalable, flexible, future-ready foundation.
Migrate off legacy databases and warehouses to the cloud safely — re-platforming and modernising your data estate with minimal downtime and no data loss.
Feature stores, data quality and pipelines that make your data AI-ready — the architecture machine learning and analytics teams need to move fast and trust the data.
Book a free consultation and we'll map a modern data architecture that fixes the foundation.
Everything your data needs to be reliable, governed and ready to use.
Scalable, cost-efficient analytics storage in the cloud.
Unified storage for structured and unstructured data.
Batch and streaming ETL/ELT that keep data flowing.
Well-structured schemas for performance and clarity.
Lineage, quality, access and compliance controls.
Feature stores and pipelines for machine learning.
Tell us your data and goals and we'll come back with an architecture and honest estimate.
We fix the foundation methodically, then build for scale and governance.
We review your data, systems, quality and pain points.
Target architecture, data models and governance framework.
A phased plan that delivers value at each step.
Warehouse, pipelines and models implemented as code.
Cataloguing, quality and access controls put in place.
Monitoring, optimisation and support as you scale.
We pick the right tools for your data, scale and budget — never the other way around.
The difference between a fragile data stack and a foundation that lasts shows up in the details. Here's what you can count on.
Deep data engineering and architecture experience, with a 5.0 rating on Clutch.
We design the architecture and build it, in-house — no contractors.
Independent advice on platforms and patterns, aligned to your goals.
Quality, security and compliance built in from day one.
Foundations built so analytics and ML teams can move fast.
Full ownership of the architecture, code and your data — no lock-in.
The questions we hear most from teams planning their data foundation. Still curious? We're one message away.
Ask us anythingData architecture is the design of how data is collected, stored, modelled, integrated, governed and used across your organisation. Good data architecture gives you a single, reliable, scalable foundation for analytics, BI and AI — instead of scattered silos.
They include data architecture consulting, data modeling, warehouse and lakehouse design, pipelines and integration, data governance, modern architecture patterns, migration and AI readiness — everything needed to build a modern data platform.
Modern data architecture uses cloud-native patterns — lakehouse, data mesh and streaming — to make data scalable, flexible and real-time. Our modern data architecture services replace brittle legacy stacks with a future-ready foundation.
Yes. Our data governance services cover cataloguing, lineage, data quality, access control, privacy and compliance — so your data is trustworthy, secure and audit-ready.
It depends on your data estate, goals and scope. After a free consultation and assessment we send a clear proposal, and larger programmes are phased so you see value at each step.
Yes. We migrate and modernise legacy databases and warehouses to cloud-native platforms safely, with minimal downtime and no data loss, while improving performance and governance.
Absolutely. A clean, governed, well-modelled data foundation is the prerequisite for reliable analytics and AI. We build with AI readiness — feature stores, quality and pipelines — in mind from the start.
Share a few details about your data and goals and we'll get back within one business day with ideas, a plan and an honest estimate. Free consultation, NDA on request.