Success Stories

We turn business opportunities into real impact, with technology that actually works. See how.

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- 80% cost per user
- 80% cost per user
Gen-OS
Consumer & Retail

AI Assistant for your Workforce

Sonae Sierra needed to simplify daily work by providing all employees with a conversational workspace without being locked into expensive, per-user licences from consumer platforms. We deployed one of our Gen-OS products, GenAssistant, an AI chat platform that unifies multiple LLMs in a single interface, avoids vendor lock-in, and enables best-model-per-use-case selection.

640 hours saved
640 hours saved
Gen-OS
Media & Telecom

Automating Legal Requests

NOS’s Legal Department was overwhelmed with more than 100 requests a day, creating bottlenecks and delays. With Gen-OS, we automated these requests, saving 640 hours per week and resolving 80% of requests directly.

+1000 Recipes Modeled
+1000 Recipes Modeled
Machine Learning
Industrial & Manufacturing

AI on the Factory Floor

A global leader in automotive cables wanted to optimize its insulation cable process, which relied on manual checks. We built and deployed an ML model on factory floor machines, reducing waste, saving €300 per day per machine, and freeing operators for other tasks.

30% time saved in migration
30% time saved in migration
Machine Learning
Financials & BFSI

Automating Large-Scale ETL Migration with AI

Our client needed to migrate approximately 300 data pipeline jobs from Talend, a proprietary ETL platform, to a modern Python and Spark-based stack. Manual migration would have required months of repetitive, error-prone work. We built NextGen, an AI-assisted migration tool that performs SQL-centric extraction and Java code simplification.

-75% time to market
-75% time to market
Machine Learning
Media & Telecom

LUPA: A Data & MLOps Platform

Our enterprise client was facing challenges within their advanced analytics department, with data teams operating in silos, scattered technologies, and no unified framework. We built LUPA, an MLOps platform, to unify workflows and accelerate time‑to‑market, while driving millions in monthly revenue.

70% accuracy
70% accuracy
Machine Learning
Consumer & Retail

The Art of Bluffing

An American company wanted to explore whether AI could detect bluffing in poker to give their professional players an edge. We developed a model that identifies bluffing patterns, empowering players to spot bluffs and refine their own strategies.

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