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AI-Powered Software Engineering

Helping legacy systems work with AI agents without a company-betting rewrite, plus new AI-native builds.

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

Your core applications served you for decades. Now they're the bottleneck.

Your core systems still run the business. They're also expensive to maintain, brittle to change, and closed to the AI you want to run on them. We modernize what's worth keeping and build what's missing, one system at a time, with the old path live until the new one earns the traffic. You never have to bet the company on a rewrite.

01

Accelerated development

Cloud-native and AI-driven tooling gets your products to market up to 50% faster.

02

Agent-ready systems

Legacy applications AI agents can safely read, call and act on.

03

Optimized code quality

AI-assisted reviews and automated testing for top-tier, low-defect code.

04

Future scalability

Built for seamless integration and growth as the business changes.

Service models

Two ways in, both production-grade

Two service models, one standard: it has to survive production, whether your people depend on it or your agents do.

01

Full Modernization (AI-Assisted)

The complete rebuild, scoped in weeks and shipping in months.

AI-assisted code translation, refactoring and testing 40–50% faster than manual approaches 40% reduction in technical debt costs
02

AI Integration Engineering

AI capabilities in the systems you already run, without replacing them.

API layers, data extraction and integration middleware AI integrated into legacy systems without a rewrite Production system stability maintained while adding AI capabilities

Microsoft Solution Partner

A leading Digital & App Innovation 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 audit trails that hold up under inspection.
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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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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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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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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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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