Industries
Industries
The synergy of AI architecture and sector-specific DNA.
Opportunities to put AI to work are constantly growing across industries. Start the evolution in your sector with the solutions from our latest research.
ThrivingHealthcare & Life Sciences
Open up new possibilities for patient care and accelerate the discovery of life-saving treatments with big data processing, AI and digital twins — and know what every medicine costs to make.
Platforms and methods:
Big data processingStreamlined management, storage and analysis of vast medical data that helps gain insights from genomic information, accelerate research and optimize bioinformatics workflows.
Digital twin of a patientAn objective assessment of a patient’s condition using digital images built from health history, special tests and ongoing measurements helps healthcare professionals optimize treatments.
Manufacturing cost of medicinesCOGS predicts the cost of a pharmaceutical product in seconds after any change in formulation, process, volume, packaging or plant — with <0.1% deviation from official calculations.
Shift planning for hospital staffRosters for doctors and nurses that respect rules, qualifications and wishes — created in one hour instead of 24.
Epidemic simulationAgent-based simulation on a synthetic population shows how an epidemic spreads and what measures would do.
Assistants for patients and staffAnswers from verified methodologies and internal documents, on chat or phone.
Proof · Healthcare & Life Sciences
Pharma · COGSSecondsto a verified manufacturing cost, instead of 3–12 monthsA European generics manufacturer: <0.1% deviation from official calculationsRead the case →
Life sciences · Floxgen4,000+sequenced genomes aggregatedIMTM: Czech genomes aggregated, development time cut by up to 90%Read the case →
Healthcare · Planning24 h → 1 hto create a shift scheduleAKESO: intelligent shift planning in healthcareRead the case →
Healthcare · SimulationAgent-basedsimulation on a synthetic populationPredicting pandemic evolutionRead the case →AutomatedManufacturing & Supply Chain
Let machine intelligence refine production, predict issues before they happen and keep the supply chain in step — from the machine on the line to the last postcode — with digital twins, computer vision, demand forecasting and cost models.
Platforms and methods:
Digital twin of machines and linesEstimates machine states no sensor measures: future failure prediction, anomaly detection, real-time alerts, root cause analysis and dashboards for managers, operators and quality assurance.
Predictive maintenanceProbability distribution of a machine defect, tolerance-limit alerts and maintenance planned before downtime — on OPC-UA machine data, on-premise, without vendor lock-in.
Computer vision quality controlDeep-learning image analysis for defect detection and foreign-object or missing-part identification that reduces human error and ensures consistent quality.
Manufacturing cost and allocationCOGS gives the unit cost of every product and change in seconds — and shows which products pay off on which line and in which plant.
Demand forecasting and inventoryMyIO forecasts demand at every level of the network and shows how much to order and when — across warehouses, suppliers and currencies.
Logistics volumesHierarchical forecasts of parcel volumes from global level down to individual postcode areas.
Why machine data is hard
- Machine heterogeneity: different manufacturers, ages and levels of wear
- Disconnected data: different models, not correlated, stored in silos
- Hidden states: some variables cannot be measured physically
- Few training samples: physical prototypes are expensive
Proof · Manufacturing & Supply Chain
Manufacturing · Computer Vision99%of defects detected · scrap rate down 60%+ · inspection 10× more oftenDormer Pramet: 10 μm defects, found on the lineRead the case →
Power equipment · JapanHondalawn mower and heavy equipment monitoring in Japan, with BellaDatiHonda: lawn mowers and heavy equipment monitored with BellaDatiRead the case →
Automotive · USAHoneywellturbochargers · compressor efficiency predicted in seconds, with accuracy comparable to CFDHoneywell: turbocharger efficiency predicted in seconds, not weeks of CFDRead the case →
Automotive · AI Assessment130+AI use cases identified in SalesAutomotive manufacturer: AI use cases identified and prioritised in SalesRead the case →
Distribution · MyIO35%better forecast accuracyFood distributor: better forecasts on 20,000+ products, 15% lower inventoryRead the case →
Logistics · MyIO3.9%average forecast error, 45M parcels a yearEuropean parcel carrier: volumes forecast down to postcodeRead the case →ResilientEnergy & Utilities
Simulate energy systems in real time, keep assets running and forecast consumption before it peaks — on a data platform that serves customers and operations alike.
Platforms and methods:
Digital twin of energy systemsReal-time simulation of energy systems, predictive maintenance of assets and consumption forecasts that improve grid stability and prevent blackouts.
Predictive maintenance of assetsFailure probability for turbines, transformers, pumps and lines, with maintenance planned before downtime.
Energy consumption monitoringConsumption per machine, line and building from meter data, energy anomalies and peak-demand prediction.
Asset monitoringDrones and image recognition for steady monitoring of energy assets, security and smart grid management.
Data platforms for utilitiesUnified customer and operational data, integration and APIs, and a lakehouse on Azure — the base for every AI use case.
Self-care and assistantsCustomer portals and chat or voice assistants grounded in tariffs, contracts and processes.
How it works · Energy & Utilities
TrustedBanking & Insurance
See each client — account holder or policyholder — as a living picture built from transactions, products, claims and life events. Spot risk and opportunity early, act at the right moment, and modernize the core systems that run it all.
Platforms and methods:
Digital twin of a clientA 360° view of every client from income and spending, products, policies, claims and life events — always current, even when data is partial.
Anomaly detection and alertsUnusual transfers, claims, falling activity or irregular income are flagged early and routed as a task to the right team or to automated resolution.
Probabilistic forecastsRisk of default, lapse or leaving, and future high-value clients — predicted with their uncertainty, not as a single guess.
Root cause and next best actionWhy a client changed behaviour, and the individually targeted offer or correction that fits their situation.
Core system modernizationAI agents rewrite AS/400, COBOL and mainframe banking and insurance systems into a verified specification and a modern platform with the same behaviour.
Assistants for clients and staffChat and voice answers grounded in your products, rules and internal methodologies.
ConnectedTelecommunications
Serve millions of customers on chat and voice, see each subscriber as a living picture, spot churn and network anomalies early, and modernize the billing and operations systems underneath.
Platforms and methods:
Customer care on chat and voiceAssistants on one knowledge base answer tariff, billing and service questions and hand over to agents with full context.
Digital twin of a subscriberUsage, products, payments and service history in one current picture of every customer.
Churn and next best offerRisk of leaving predicted with its uncertainty, and the offer that fits each customer.
Network and demand forecastingTraffic and demand forecasts at every level of the network, backtested and monitored.
Anomaly detectionUnusual traffic, billing or fraud patterns flagged early and routed to the right team.
BSS/OSS modernizationAI agents rewrite legacy billing and operations systems into a verified specification with the same behaviour.