Two threads. One senior team. Data Warehouse and AI.
We run two connected practices: Snowflake and data-warehouse engineering, and AI strategy through production. The same founder-architect works both. Start with either — most engagements begin with the audit and grow into the AI build.
Fix the pipes before you run water through them.
Snowflake audits and data-platform engineering — the low-commitment way to work with us, and the foundation for anything we build on top.
Not sure where to start? Try the Snowflake audit.
A productised five-day sprint that surfaces cost, security, freshness and usefulness issues in your Snowflake environment — with a board-ready report on Friday. The lowest-commitment way to work with us: a fixed fee, a fixed timeline, a shipped deliverable.
Aperture · Snowflake Environment Audit
From £10,000
5 days · fixed fee · read-only access
- Cost, security, freshness & data usefulness — one scan, four axes
- Board-ready PDF and prioritised findings list
- Delivered by a Blue Thread consultant, not a dashboard
Once the data foundation works, build the AI on top.
Three tiers that take you from “we think we need AI” to “our AI systems are in production and performing”. All powered by the same senior team and the BlueThread AI Gateway.
AI Strategy & Advisory
Before we write code, we make sure AI is the right solution — and that your organisation is ready for it. We've assessed AI readiness for enterprises across multi-country retail, wholesale, and distribution estates.
AI Readiness Assessment
We evaluate your data, infrastructure, team capabilities, and use-case viability. You get a clear picture of where you stand — and what it takes to get to production.
AI Opportunity Mapping
We identify where AI creates the highest ROI across your business. Not every process needs AI. We find the ones that do and quantify the impact.
AI Roadmap & Business Case
Executive-ready plans with phased investment, expected returns, and clear milestones. Built for boardrooms, not just engineering teams.
AI Product & Platform Engineering
This is where strategy becomes production. We build custom AI systems — from document intelligence pipelines to commercial analytics platforms — using the same clean architecture patterns we've refined across 8+ production systems.
Custom AI Product Development
LLM applications, computer vision, NLP systems, and predictive models. We build AI products that process real data in production — not demos that impress on stage and fail on Monday.
AI Integration & Modernisation
Embed AI into existing platforms, workflows, and data pipelines. We restructure your systems so AI can work — moving business logic server-side, building proper data layers, creating the infrastructure AI needs.
MVP & Rapid Prototyping
Validate AI-powered product concepts in weeks, not months. Production-quality foundations from day one, so your prototype can scale without a rewrite.
AI Operations & Scale
Getting AI into production is step one. Keeping it performing is the ongoing challenge. We provide the infrastructure and partnership to ensure your AI systems get better over time, not worse.
Data Engineering for AI
Build the data foundation your AI systems need. Pipelines, lakes, quality frameworks — the unglamorous infrastructure that determines whether your models actually work.
MLOps & AI Infrastructure
Model monitoring, retraining pipelines, performance optimisation, and our own AI Gateway for centralised prompt management and provider orchestration.
Ongoing AI Partnership
A retained senior engineering team for continuous evolution. We monitor, optimise, and extend your AI capabilities as your business grows and your data matures.
Powered by the BlueThread AI Gateway.
Every AI system we deliver runs on the same battle-tested infrastructure — our AI Gateway. It means you can switch AI providers without rewriting your application, manage prompts centrally, and scale AI capabilities across your organisation without rebuilding from scratch each time.
Fix the data warehouse. Then build AI on top.
Twenty minutes to talk through your Snowflake environment or your AI plans — whichever is holding you up. No pitch, no pressure.