Data Analytics and AI-Ready Architecture
Most enterprises have already modernized something — a warehouse migration, a lake, a mesh pilot. The real question in 2026 isn’t which architecture is best. It’s whether what you’ve built can govern itself, control its own cost, and actually serve AI. We design lakehouse, governance, and AI-readiness as one connected system, not three separate projects.
Six disciplines. One connected data platform.
AI-Ready Data Platform
The architecture, governance, and pipelines underneath every analytics and AI initiative you run — built as one system, not six disconnected tools.
/ THE FOUR LAYERS
Roughly the Order Most Platforms Get Built In
Foundation first, governance on top of that, AI-readiness once the data underneath is trustworthy, real-time woven through all three.
One Platform for Lakes, Warehouses, and AI
The old debate between data lakes and data warehouses is over. We build on the lakehouse pattern — open table formats like Apache Iceberg and Delta Lake underneath, so you get warehouse-grade transactions and lake-grade flexibility without copying data between systems.
- Open table formats (Iceberg, Delta Lake) for vendor-neutral storage
- ACID transactions on object storage, not just inside a database
- Zero-copy, federated access across clouds and regions
Governance That Enables Teams, Not Just Restricts Them
Fully centralized governance creates bottlenecks. Fully decentralized governance creates chaos — that’s the lesson the industry learned the hard way. We implement federated governance: central teams set the hard boundaries on security and compliance, and domain teams own and ship their own data products on top.
- Domain-owned data products with clear ownership and SLAs
- Central security & compliance enforced automatically (GDPR, HIPAA, CCPA)
- Full lineage and cataloguing for every dataset, not just the important ones
Data Built to Be Used by AI, Not Just Stored for It
Most data wasn’t designed with AI in mind — it was designed backward from a dashboard. We architect pipelines that extract embeddings from unstructured content and serve vector search inside the same query engine as your SQL, so an AI agent and a BI analyst can rely on the same trusted data.
- Embedding pipelines for documents, images, and recorded calls
- Vector and SQL search in a single, unified query engine
- Lineage and access control that extends to AI agents, not just people
Insights at the Speed Your Business Actually Moves
A nightly batch job is a 2015 answer to a 2026 problem. We build event-driven pipelines that move data as it happens, so dashboards, alerts, and automated decisions reflect what’s true right now — not what was true at midnight.
- Event-driven pipelines instead of nightly batch jobs
- Streaming analytics feeding live dashboards and automated alerts
- Architecture that scales from gigabytes to petabytes without a rebuild
Data & AI/ML Solutions We Deliver
Lakehouse Architecture
We build on the lakehouse pattern — open table formats like Apache Iceberg and Delta Lake underneath, so you get warehouse-grade transactions and lake-grade flexibility without copying data between systems.
Federated Data Governance
Central teams set the hard boundaries on security and compliance (GDPR, HIPAA, CCPA); domain teams own and ship their own data products on top — full lineage and cataloguing throughout.
AI/ML & Vector Pipelines
We architect pipelines that extract embeddings from unstructured content and serve vector search inside the same query engine as your SQL, so an AI agent and a BI analyst rely on the same trusted data.
Real-Time Streaming
Event-driven pipelines that move data as it happens, so dashboards, alerts, and automated decisions reflect what’s true right now — not what was true at midnight in last night’s batch job.
BI & Decision Intelligence
Dashboards and reporting layers built on top of governed, trusted data — so the numbers a BI analyst sees are the same numbers your AI agents and applications are querying.
Cloud & Multi-Cloud Engineering
AWS and Azure-certified architecture and migration work, including zero-copy, federated access across clouds and regions, so your data estate isn’t locked to a single vendor.
Built for Data That Actually Matters to the Business
Healthcare
Personalized treatment plans and clinical decision support from predictive analytics.
Financial Services
Real-time fraud detection and customer behavior insight at transaction speed.
Retail & eCommerce
Personalized shopping experiences and inventory optimized against real demand.
Manufacturing
Predictive maintenance and smart production from IoT and process data.
Telecommunications
Real-time network optimization and churn-driving customer insight.
What Changes When We Build This
Over a decade shipping data platforms for 500+ clients globally. Here’s what that experience means for your project.
Over a Decade of Delivery Experience
Building and shipping data platforms since 2013, across 500+ clients in the UK, US, Europe, Japan, the Middle East, and Asia. We’ve already solved most of the classic data-platform production problems before they cost you time and money.
UK Leadership, World-Class Engineering
Our London team manages everything client-facing, from discovery through delivery sign-off. Our India team handles the deep technical work — senior oversight without the cost of a fully Western dev team.
AWS & Microsoft Azure Certified Partners
Your data architecture isn’t guesswork on either cloud — direct partner support, early feature access, and deep platform expertise baked into every deployment.
Certified PartnersArchitecture Picked for Your Bottleneck, Not the Trend
We pick lakehouse, mesh, or fabric based on your actual constraint — integration, governance, or scale — and tell you which one that is before we start building.
Pragmatic ArchitectureCompliance Ready by Default
GDPR, HIPAA, and CCPA controls are designed in from the first architecture decision — central policy enforced automatically, not patched in after a domain team ships something risky.
Security & ComplianceOne of Five Data Engineering & AI/ML Services We Maintain
This sits alongside the other Data Engineering & AI/ML services we list and actively maintain client platforms on across our own published case studies — not a technology we’re learning on your project.
Battle-TestedFrom Audit to a Platform That Actually Runs Itself
Discovery & Architecture Audit
We map your current data estate and identify the real bottleneck — is it integration, governance, scale, or AI-readiness? Most teams assume it’s one when it’s actually another.
Reference Architecture & Roadmap
A lakehouse, governance, and AI-readiness plan sequenced to deliver value incrementally — not a single eighteen-month big-bang migration.
Build & Migrate
Incremental builds validated against real workloads at each stage, with weekly progress reports throughout.
Operate & Optimize
Cost, performance, and governance tuned against real usage data — not theoretical capacity planning.
Technologies We Work With
Every tool chosen for performance, governance, and AI-readiness — not familiarity.
Ready to Make Your Data Actually AI-Ready?
Start with an honest assessment of what you already have — not a sales pitch for whatever’s trending this quarter.
Book a Discovery Call