Custom mapping and navigation solutions are required for fleet operators, mining companies, logistics providers, amongst others. The ability to augment proprietary information to the mapping and navigation solution will greatly improve operational efficiency. HD maps are required in locations like mining, ports, and other special zones for safely running autonomous vehicles. Our experience in building complex mapping platforms, coupled with our partnership with a major mapping platform provider, allows us to develop bespoke mapping solutions to include 2D/3D map rendering, route planning, indoor positioning and tracking, map data enrichment with sensor data, and HD Mapping.

Fare collection systems and autonomous electronic toll systems are transaction-heavy, high-performance, mission-critical systems that require sophisticated solutions, reliability and scalability. Ness has over ten years of experience architecting and building cloud-native, fault-tolerant and scalable fare and toll solutions in many major metropolitan areas worldwide. Leveraging the right architecture, automated machine learning and predictive data creation, Ness evolves core toll/transportation systems into smart transportation and city solutions.

Home energy (both generation & consumption) devices are becoming increasingly smarter with enhanced control and reporting. The increased visibility creates the opportunity to optimize on energy consumption and usage patterns. Utility companies are also using this data when available to optimize infrastructure and provide customized options and services to customers. Our solutions, such as Home Energy Management solutions, helps customers and providers get better visibility into their energy generation and consumption, allows prediction of operational loads, and thereby optimizes power generation, storage and infrastructure utilization.

Optimizing the productivity, quality, and safety of your assets and resources is always a challenge. Leveraging the right competences, tools and platforms, such as statistical models and machine learning techniques the data that is collected from your operations can predict future outcomes. Our experience in building complex platforms for collecting operational data, coupled with our competence and experience in handling data at scale, allows us to develop solutions like Expected Time of Arrival predictions. Such solutions can consume data from diverse sources and can provide superior accuracy compared to traditional models.

In the age of “always-on” connectivity, consumers demand information anytime, anywhere – on a PC, a mobile device or even inside their cars. They expect to seamlessly share relevant and contextual information like destination or location from their mobile device to the vehicle. With our deep expertise in cloud technologies and deep understanding of the automotive domain, Ness is uniquely positioned to build connected applications supporting in-vehicle systems and mobile applications.