AI and Data

3 000+ AI data experts architect hyperscale solutions for global lighthouse brands and enterprise accounts. At Inetum we partner with key ecosystem leaders to co-create future-proof AI & data landscapes.

And because transformation is human at heart, our frameworks elevate talent, streamline processes, and amplify every team’s impact – embedding AI so deeply it becomes truly pervasive.

AI slashes battery scrap by 15%+, saving millions per line

Challenge
Scrap rates of 15–30% are common in battery-cell production, with defects often surfacing only at final inspection—driving up unit costs and carbon footprints.

Solution
Inetum built an end-to-end MLOps pipeline that classifies cell quality across 14 manufacturing stages, using containerised ML models tracked in MLflow and seamlessly integrated into the client’s quality-control stack.

Result
With 90%+ prediction accuracy, the system flags faulty cells in real time, enabling early rejection that slashes scrap by double-digit percentages—saving millions of euros per gigafactory line and speeding time-to-market.

GCC regulator cuts visa compliance risk from days to minutes

Challenge
Saudi Arabia’s labour authority must oversee a private-sector workforce of over 10 million expatriates. Yet manual inspections still uncover thousands of residency and visa breaches weekly, revealing chronic gaps in early-warning capabilities.

Solution
Inetum delivered a Spark-driven anomaly-detection engine, version-controlled in MLflow, scoring every employer and work-permit transaction against tailored KPIs. The system flags visa or headcount anomalies in real time, pushing risk alerts directly to MicroStrategy dashboards for compliance teams.

Result
Detection cycles that once took days now run in minutes. Regulators can prioritise high-risk cases first—a shift expected to cut fraud-related losses by double-digit percentages while freeing inspectors to focus on policy, not paperwork.

Unified analytics turns weeks of pharmaceutical sales data into instant insights

Challenge
With analytics spread across five regional warehouses, this pharma company spent days stitching together spreadsheets just to answer routine business questions—typical in life sciences, where data silos slow decisions and drive up compliance risk.

Solution
Inetum helped launch one of the world’s first Azure Synapse Analytics workspace deployments: a secure, infrastructure-as-code data backbone that unifies Salesforce, IQVIA OCE and dozens of local feeds, with CI/CD pipelines keeping models, dashboards and permissions in sync.

Result
A single Power BI layer now serves 1,000 users in 50 countries, scaling elastically and billing only for compute consumed—turning days-long data hunts into near-instant insight.
Crucially, the company can now track hundreds to thousands of sales reps in the field, monitor goal attainment in real time across multiple management levels, and drive faster, more confident commercial decisions—while laying the runway for advanced AI use-cases.

A large European bank cuts manual coding by 20% with embedded GenAI 

Challenge
An EU bank’s IT department was mired in manual coding, documentation and testing—slowing digital product delivery and squeezing time for strategic initiatives.

Solution
Guided by Inetum’s CodeFaster framework, the team reorganised around GenAI assistants and role “champions.” A short discovery sprint, pilot and controlled rollout embedded code-generation, doc and test agents into daily workflows—keeping security and governance front-and-centre.

Result
Within the first wave, architects cut routine effort by 11%, senior Java developers by 28% and juniors by 19%. The team delivered 35 production-ready use-cases and 20 automated code flows, freeing talent to focus on innovation.