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AI-Driven Data Platform Engineering

Data quality is what most production AI fails on. Most enterprise data sits in systems never built to feed a decision. We engineer the whole path, from collection through processing and modelling to the dashboards people actually open.

The Migration Their Team Now Owns
Case Study

September 21, 2026

The Migration Their Team Now Owns

A 12-month manual migration off SQL Server, compressed to months with an AI-assisted workflow — and the client's team owns the methodology.

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25+ Locations, One Commercial Platform
Case Study

May 27, 2026

25+ Locations, One Commercial Platform

Data scattered across ERP, spreadsheets, and registries? See how a European B2B distributor unified 25+ locations on one commercial platform.

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From 56% to 94% Classification Accuracy
Case Study

May 6, 2026

From 56% to 94% Classification Accuracy

9.5 months, 5 engineers, .NET 9, and a 322-category taxonomy that holds in production — the 56% to 94% accuracy lift came from engineering.

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80% Less Manual Data Gathering: How a Global Mining Advisory Firm Freed Its Senior Analysts
Case Study

May 5, 2026

80% Less Manual Data Gathering: How a Global Mining Advisory Firm Freed Its Senior Analysts

A top-three management consultancy freed its senior mining analysts from manual data entry — two weeks from first line of code to production.

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66% Less Code, Zero to 99% Test Coverage in 5 Weeks
Case Study

March 13, 2026

66% Less Code, Zero to 99% Test Coverage in 5 Weeks

A leading maritime classification society was sitting on a compliance platform that had outgrown its original architecture.

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Beer & Data Analytics in Campaign Management
Case Study

December 3, 2024

Beer & Data Analytics in Campaign Management

In the world of brewing, a beer giant has been tapping into something invigorating: the power of data analytics in campaign management.

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25 yrsEngineering production software
15 yrsBuilding production data platforms
10 yrsDeploying AI/ML in production
1,000+Production systems since 2001

What it changes

Every day your data generates opportunities. Most of them expire unseen.

Data silos, unmanaged pipelines and report sprawl keep insight away from the people who need it. We meet you wherever you are in that journey and engineer a platform your teams rely on daily.

01

Better decisions

Complex data streams become clear enough to act on, at the moment the decision gets made.

02

Operational efficiency

Streamlined processing and integrated sources that scale with growth.

03

Real-time analytics

Analytics in your teams' hands as things happen, so strategy changes at the speed the business does.

04

New revenue streams

Insight that surfaces products, pricing and utilisation you couldn't see before.

What we build

Data foundations engineered for production AI

Three offerings, one standard. Data your AI can act on and your auditors can follow.

01

Production Data Platform Migration

Modern cloud foundations without the multi-year migration slog.

Migrate legacy databases, ETL pipelines and data warehouses to modern cloud AI-assisted migration, 60 to 80% faster than manual Production-grade data governance
02

Production Data Quality Engineering

Because data is what most production AI fails on.

Find and fix the data quality issues that stop AI reaching production Continuous data quality monitoring in production Data validation frameworks for AI inputs
03

Production Data Governance for AI

Compliance and lineage engineered in, not audited in later.

Regulatory compliance frameworks: HIPAA, FDA, GDPR Data lineage and audit trails for production AI Privacy-preserving data engineering

Microsoft Solution Partner

A leading Data & AI partner on the platform you already own

Azure, Microsoft Fabric and AI services, cloud or on-premise, built on Microsoft's Well-Architected Framework.

Solution Partner
Data & AI
Azure data services end-to-end, from engineering and warehousing through real-time analytics.
Solution Partner
Digital & App Innovation
Cloud applications built to the same production standard as our data platforms.
ISO/IEC 27001
certified
GDPR, HIPAA, SOC 2 and PCI DSS aligned delivery, with compliance engineered in rather than audited afterwards.

How we work

We prove it works before you commit the big budget.

A working result in weeks. Each step earns the next.

01

Assess

We score how ready your data and systems really are, and where the risk is hiding.

02

Prove

A working version running on your real data, so you see the value before the big spend.

03

Deploy

Into production: integrated, governed, monitored, and operated.

04

Operate & scale

We run it, keep improving it, and grow it across the business with you.

If the assessment shows your data can't carry it yet, we say so, and you'll have spent very little to find out.

Why Tecknoworks

We build your AI, run it, and answer for it.

25 yrsProduction software
15 yrsProduction data
10 yrsProduction AI
01 · Build & operate

We build and operate, not just advise

We design it, ship it, and stay to run it under production SLAs with 24/7 monitoring. The team that builds your AI is the team that keeps it running.

02 · No lock-in

No lock-in, no black box

We engineer on the platforms you already own, whether that's Azure, AWS or on-premise, and pick the tools that fit your estate. You keep control of everything we build.

03 · Proof

Working systems in weeks

Boards want results this quarter. We put a working system on your real data within weeks, and a measurable result soon after.

A track record at the top

For over twenty years we've engineered and operated production systems for one of the world's leading strategy consultancies. The firm that transforms everyone else trusted us to build and run theirs.

Drive growthNew products, faster decisions and better customer experiences.
Reduce riskTrusted data, explainable AI and production-grade controls.
Lower costAutomated workflows, modern platforms and less manual effort.

Client success stories

From pilot to production

We engineer the systems around the model: integration, data quality, governance, observability, so AI keeps working after launch day.

25+ locations, one commercial platform Market Intelligence

Case StudyJuly 22, 2026

25+ locations, one commercial platform

A European B2B distributor unified 25+ locations into one live commercial intelligence platform, with pricing, margin and demand in a single decision engine.

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A lakehouse that finally passed audit Data Platforms

Case StudyJuly 16, 2026

A lakehouse that finally passed audit

We rebuilt the ingestion layer, added contract testing and lineage, and took data quality from best-effort to SLA-backed, in production, on Azure.

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Forecasting that survived peak season Retail Operations

Case StudyJune 15, 2026

Forecasting that survived peak season

Demand forecasting integrated into replenishment, not reporting. It held through peak because the engineering around the model held.

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Model governance the regulator signed off Governance

Case StudyJune 2, 2026

Model governance the regulator signed off

Approval workflows, versioned evaluations and human-in-the-loop controls, wired into the systems the business already used every day.

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Breath diagnostics, cleared for production Healthcare AI

Case StudyJune 24, 2026

Breath diagnostics, cleared for production

A clinical ML model moved out of the notebook and into daily use: validated pipelines, audit trails and monitoring the regulator could read.

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Drift caught before the business felt it Managed AI Ops

Case StudyMay 20, 2026

Drift caught before the business felt it

Continuous evaluation and observability on live traffic, so regressions surface and roll back inside a day, not a quarter.

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