CUSTOMER STORIES

Real problems, measured outcomes. Told without the logos.

Our clients rarely let us put their name next to their numbers. So we tell the stories as they happened: the problem, what we built, and what changed. Industry, scale and results are real. Names are withheld.

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20customer stories
7industries
14countries
450+senior experts


How an insurer took over a legacy sales-network system in one month and replaced it from scratch in 14 months, with zero gap in operation

The old system kept running while the new one was built. The relationship has been uninterrupted since 2008.

1 monthfull takeover of the legacy system
14 monthsnew system from scratch to live
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How an international industrial group built a cybersecurity team after an attack, with new specialists on board within a week of each request

Post-incident, demand kept changing for years. The team flexed between 6 and 22 people across four disciplines without a single re-tender.

≤ 1 weekfrom request to resource in place
4–11IT security specialists, continuously staffed
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How an insurer has kept its commission management system evolving for 11 years with a team that flexes between 6 and 14 people

Development, application support and project management on one Oracle/Java core system, uninterrupted since 2015.

11 yearsuninterrupted engagement
6–14 FTEdemand-driven team size
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How a telecommunications provider gave call-center agents an AI assistant over its Confluence and Jira knowledge, on-premise

Prototype in week 6, go-live in week 13. Incoming email tickets classified, routed and answered with suggested resolutions.

Week 6working prototype
Week 13go-live
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How an IT distributor put four generative AI use cases live on its own hardware in about four weeks

Contract search, machine-logbook Q&A and text-to-report, with three locally hosted LLMs to choose from and no cloud dependency.

4use cases live
3locally hosted LLMs, selectable
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How a foam-products manufacturer achieved end-to-end traceability for a global sporting-goods retailer’s packaging line

RFID at every packing station, barcode plus RFID at palletising, automated labels and SAP integration, rolled out in four phases.

4rollout phases, pilot to SAP integration
6 monthsengagement
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How a national healthcare authority got consistent KPIs from four hospitals running four different clinical systems

Heterogeneous hospital information systems the authority does not control, unified into one reporting platform in three months.

4hospitals, 4 different HIS vendors
10KPIs across clinical domains
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How a national utility coordination body replaced Excel-and-Access reporting with a regulatory-grade data lake

Billing data from a legacy DB2 system into a Stage–Store–Mart platform, with open-source reporting to keep license costs down.

5 + 5regulatory and business reports
3data-lake layers
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How a pharmaceutical manufacturer let the data define mitochondrial morphology classes instead of imposing them

Unsupervised learning on microscopy-derived features, interpreted with the client's scientists, to accelerate drug discovery.

~1,700measurements analysed
3clustering families evaluated
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How a refinery validated that control-valve sticking is detectable before it stops production

A recurrent neural network on live refinery sensor data, confirmed by the maintenance engineers who know the valves.

6valve types validated
3control types: flow, level, pressure
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How an oil and gas operator proved turbine degradation is detectable when the data alone was not enough

Engineering expertise converted into mathematics: degradation indicators derived from first principles, then validated on 15 years of sensor history.

2validated degradation indicators
42 + 142historian and PLC tags analysed
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How a large bank unified 8–10 TB of daily logs into one auditable data fabric for a 5–15 year retention obligation

Application, infrastructure and security logs from one platform, with role-based access and a bank-wide scale-out roadmap.

8–10 TBlog volume per day
5–15 yearsregulatory retention served
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How a grocery retail chain gave its buyers natural-language access to 200+ product groups without sending data to the cloud

Hungarian-language text-to-SQL on unified market-research and internal data, running on-premise.

200+product groups unified
4–6product groups in pilot query scope
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How a leading bank replaced uniform credit-limit bands with a per-customer optimum between profitability and risk

Not segmentation. A regression model that outputs the exact amount for each cardholder.

2model phases: propensity + eligibility
per customerlimit amount, not a bucket
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How a retail financial services provider learned to spot 76 of every 100 departing sales agents 3–9 months in advance

A precisely defined label, a 5,700-agent network, and a counter-intuitive burnout signal that no manager's gut catches.

76%recall (76 of 100 leavers identified)
3–9 monthsprediction horizon
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How a food manufacturer cut delivery trips by 39% and daily route planning from 6 hours to 30 minutes

Two NP-hard problems, hand-written and processor-optimized, because off-the-shelf solvers failed on the real constraints.

−39%delivery trips
6 h 30 mindaily planning time
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How an energy group turned a failed out-of-the-box HR chatbot into an internal standard running above 96% correct answers

Same Microsoft stack. Different retrieval architecture. The design became the foundation of the group's internal chatbots.

>96%correct answer rate (production chatbots)
2 monthspilot duration
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How an online retailer lifted conversion by 8–12% and cut coupon spend by 50–60% with pre-checkout behavior prediction

Discounts only for the visitors whose decision is still open. The model pays for itself out of the marketing budget.

+8–12%conversion rate
−50–60%coupon cost
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How a global IT services provider delivered 180+ projects in 12 countries with SWICON project managers

Senior program and project managers, in English and German, at volume, bringing red projects back to green.

120+project managers supplied
180+projects delivered
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How a global bank stood up a 30-person, 8-language service desk in two months and grew it to 80+ people across 54 countries

Speed of recruitment, verified language competence and a delivery model that scales without re-tendering.

30 80+service desk staff
8 14languages
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Powering mission – critical operations across Europe

220+

successful transformation programs

$1.5B

business value created

50M

secure transactions every month

20+

years of enterprise expertise

450+

senior experts

Trusted by enterprise leaders across the world

Alfa Vienna Insurance Group