AI Systems
Data Pipelines: production AI systems built in the UK
In short
Live data pipelines connecting your ERP, CRM, spreadsheets and field data into one source of truth — clean enough to feed AI, dashboards and the board pack. Production data pipelines that ingest, clean, join and stream data from your operational systems into a single warehouse or lakehouse, ready for reporting, AI and downstream automation.
What Forth Systems means by data pipelines
Production data pipelines that ingest, clean, join and stream data from your operational systems into a single warehouse or lakehouse, ready for reporting, AI and downstream automation.
Why UK operators are buying data pipelines in 2026
You can't automate what you can't trust. Most UK mid-market data lives in spreadsheets and 12 disconnected SaaS tools. A real data platform is the pre-condition for real AI.
Workflows we automate
Operational reporting, KPI roll-ups, AI training data, board packs, regulator reporting, customer 360, revenue reconciliation, cost analysis.
The stack we build on
Postgres, BigQuery, Snowflake, DuckDB and Supabase, with dbt for transforms, Airbyte / Fivetran / custom Python for ingest, plus reverse-ETL to push clean data back into your CRM and ERP.
Real data pipelines use cases
• Xero + HubSpot + Stripe joined into a single revenue truth, with automated month-end reconciliation. • Field-service telemetry from IoT devices streamed into an operational dashboard for engineering leadership. • Customer 360: a joined view of every interaction across support, product usage, billing and CRM notes. • Automated board pack — one Sunday-evening job that assembles the entire Monday-morning deck. • Regulator-ready data marts for FCA, HMRC and ICO reporting, versioned and auditable.
Outcomes to expect
One trusted number for revenue, cost and margin, board packs that assemble themselves, and a data layer AI systems can safely consume.
Pricing
£499 AI Ops Audit to map your data estate. £2,500 Sprint to land the first end-to-end pipeline. £6,000/month embedded for continuous coverage expansion.
Timeline
First production pipeline live in two weeks. A full operational data platform typically ships in 8–14 weeks.
How we engage
Every data pipelines engagement starts with our £499 fixed-price AI Ops Audit. That produces a scored, costed 30/60/90 day plan you own — whether you build with us or not. If you proceed, we ship the first production system in a two-week £2,500 Sprint, then continue on a rolling £6,000/month embedded build partnership. Delivered from Edinburgh, UK, with named engineers — never an offshore pool.
Frequently asked questions
How much does data pipelines cost with Forth Systems?
£499 AI Ops Audit to map your data estate. £2,500 Sprint to land the first end-to-end pipeline. £6,000/month embedded for continuous coverage expansion. All pricing is exclusive of VAT. Larger multi-workflow programmes are scoped from a Sprint outcome.
How long until data pipelines is live in production?
First production pipeline live in two weeks. A full operational data platform typically ships in 8–14 weeks.
Who owns the data pipelines code and data?
You do. Every data pipelines system we build is deployed into your cloud accounts, on your infrastructure, with source code in your repository. No lock-in, no black boxes.
Do you build data pipelines for regulated UK industries?
Yes — we deliver into FCA-regulated firms, NHS boards, councils and other regulated operators, with human-in-the-loop controls, immutable audit trails and DPA / DPIA support built in from day one.
Can Forth Systems integrate data pipelines with our existing tools?
Yes. Every data pipelines system we build is designed to live inside the stack you already run — Postgres, BigQuery, Snowflake and beyond.
Where is Forth Systems based?
Forth Systems is an Edinburgh-based AI systems and automation company. We serve clients across Edinburgh, Glasgow, Aberdeen, Dundee, London, Manchester, Leeds, Bristol, Birmingham and the whole of the UK — mostly remote delivery with on-site presence for discovery and go-live.
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