We provide power and utilities organisations with software, data and AI engineering and architecture services to develop and implement solutions that underpin the energy transition, streamline operations and improve grid and utilities resilience.
- Core modernisation: Modernising legacy and ageing platforms, integrating operational technologies and unifying siloed systems to improve productivity, enable real-time data visibility and support scalable digital operations and new revenue models.
- Grid modernisation: Driving IT/OT convergence to enable smart, interconnected grids and modern asset management for decentralised energy generation. Supporting demand response programmes and Distributed Energy Resource Management System (DERMS) initiatives.
- R&D and programme capacity: Experienced, global and domain-specific software, data and engineering support for R&D teams developing commercial products and platforms or delivering major transformation programmes for end customers.
- AI, analytics and automation: Leveraging real-time analytics, AI, IoT and predictive maintenance to optimise operations, improve safety and enable smarter decision-making using robust data platforms.
- Customer experience and self-service platforms: Enhancing digital interactions with custom portals, payments, mobile apps and AI-native support.
- Energy trading: Enhancing efficiency and adaptability in trading operations through modern technologies to keep pace with evolving energy markets and the influx of new market participants.
We provide oil and gas companies with software, data and AI engineering and architecture services to develop and implement solutions that underpin the energy transition, streamline operations and improve resilience.
- Core modernisation: Modernising legacy and ageing platforms, integrating operational technologies and unifying siloed systems to improve productivity, enable real-time data visibility and support scalable digital operations and new revenue models.
- AI, analytics and automation: Leveraging real-time analytics, AI, IoT and predictive maintenance to optimise operations, improve safety and enable smarter decision-making using robust data platforms.
- Customer experience and self-service platforms: Enhancing digital interactions with custom portals, payments and loyalty, mobile apps and AI-native support.
- Energy trading: Enhancing efficiency and adaptability in trading operations through modern technologies to keep pace with evolving energy markets and the influx of new market participants.
We provide industrial and engineering services companies with software, data and AI engineering and architecture services to develop and implement solutions that underpin the energy transition, streamline operations and improve resilience.
- Core modernisation: Modernising legacy and ageing platforms, integrating operational technologies and unifying siloed systems to improve productivity, enable real-time data visibility and support scalable digital operations and new revenue models.
- R&D and programme capacity: Experienced, global and domain-specific software, data and engineering support for R&D teams developing commercial products and platforms or delivering major transformation programmes for end customers.
- AI, analytics and automation: Leveraging real-time analytics, AI, IoT and predictive maintenance to optimise operations, improve safety and enable smarter decision-making using robust data platforms.
- Supply chain and logistics optimisation: AI-powered software for predictive demand planning, inventory management and fleet optimisation to reduce operational costs.
We provide waste and recycling companies with software, data and AI engineering and architecture services to develop and implement solutions that underpin the energy transition, streamline operations and improve resilience.
- Core modernisation: Modernising legacy and ageing platforms, integrating operational technologies and unifying siloed systems to improve productivity, enable real-time data visibility and support scalable digital operations and new revenue models.
- AI, analytics and automation: Leveraging real-time analytics, AI, IoT and predictive maintenance to optimise operations, improve safety and enable smarter decision-making using robust data platforms.
- IoT and smart waste management: Implementing AI-driven analytics and real-time monitoring to optimise collection routes and waste levels.
- Customer experience and self-service platforms: Enhancing digital interactions with custom portals, mobile apps and AI-native support.
