Image processing and analysis: Help doctors reduce their diagnostic workloads, improve accuracy, detect life-threatening conditions earlier, and more.

Speech rehabilitation: Enable speech-language therapists to study, diagnose, and treat communication disorders more effectively.

Genome analysis: Unlock lower sequencing costs and the ability to analyze larger volumes of data while trying to better understand causes and novel variations of rare diseases.

Natural language processing: Improve the accuracy and integrity of electronic health records by turning clinical notes from disparate sources into unified, structured data.

Predictive analytics: Analyze clinical data and PGHD to identify trends in care delivery outcomes, treatment progress, costs, staff performance, and more.

Antimoney laundering: Better understand customer data, identify changes in customer behavior on time, automate KYC procedures, reduce false positives, and more.

Fraud detection: Automatically detect intricate patterns while minimizing human error and time-consuming tasks; allow fraud analysts to focus on severe cases.

Robotic process automation: Automate repetitive, high-volume, and rule-based work, such as KYC/AML, customer onboarding, invoice delivery, data entry, and more.

Credit valuation adjustment: Perform CVA calculations and get results faster while solving scaling and latency issues and keeping costs at bay.

Aviation systems: Help aircrews automate routine jobs, timely and fully execute checklists, and continuously analyze parameters such as altitude, direction, and speed, in real time.

Urban mobility: Provide increased safety, availability, comfort, and performance of city infrastructure to power individuals, municipalities, and companies.

Predictive analytics: Improve mobility services by analyzing big data and predicting movements of people, vehicles, and assets.

Digital twins: Collect massive amounts of big data from connected cars and replicate it in a digital model for more accurate analysis, prediction, and planning.

Video surveillance: Leverage AI algorithms while analyzing video data to detect situational anomalies, prevent crime, manage traffic, and more.

Mobility: Unlock next-gen mobility solutions to improve public transportation, fleet management, route planning, city parking, traffic management, and more.

Energy management: Record, aggregate, analyze, and visualize all energy-related data for improved performance, maintenance, and cost-efficiency.

Traffic management: Analyze traffic density, optimize traffic lights, reduce waiting time at intersections, prevent road congestion, re-route traffic in emergency situations, and more.

Predictive analytics: Build models of city infrastructure, estimate resources, and predict crime, traffic, and public transport usage.

Digital twins: Create virtual models of products, services, or processes to prevent downtime and failure, as well as discover new opportunities.

Predictive maintenance: Analyze real-time and historical data to determine when a machine or a system will need to be serviced proactively, before it breaks down.

Connected cars: Enable businesses and customers to benefit from cars connected to the city infrastructure, such as roads, traffic lights, and buildings.

Simultaneous localization and mapping: Get the most out of sensor data and sophisticated SLAM algorithms to let robots build their own maps in unknown surroundings

Sensor fusion: Merge data collected from sensors such as video, lidars, and radars to help machines navigate and perform tasks with more certainty and precision.