Services
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.
- 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 & AIAzure data services end-to-end, from engineering and warehousing through real-time analytics.
Solution Partner
Digital & App InnovationCloud applications built to the same production standard as our data platforms.
ISO/IEC 27001
certifiedGDPR, 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.
Assess
We score how ready your data and systems really are, and where the risk is hiding.
Prove
A working version running on your real data, so you see the value before the big spend.
Deploy
Into production: integrated, governed, monitored, and operated.
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.
Case Study
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.
Case Study
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.
Case Study
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.
Case Study
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.
Case Study
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.
Case Study
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.
AI Delivery Squad
Need ongoing capacity? Our engineers embed in your organization and ship production AI continuously. Not a consulting rotation. A dedicated team aligned to your vision mission, operating inside your systems.