Energy
& Climate
AI-powered software delivery for energy and climate
Zartis works with energy companies, utilities, and climate technology firms to build, modernise, and operate software, with AI integrated wherever it drives real operational or sustainability value.
We bring together engineering depth and domain experience across grid management, renewables, e-mobility, ESG reporting, and energy data platforms. From established utilities modernising legacy infrastructure to cleantech companies building from scratch, our teams work embedded alongside yours to deliver software that performs at scale.
Our energy expertise
Renewable Energy
Platforms for solar, wind, and storage assets, from forecasting generation to settling what was actually produced.
Grid Management and Optimisation
Software that balances load, flexibility, and distributed assets as more of the grid moves to the edge.
E-mobility
Charging networks, smart scheduling, and driver apps built to handle real tariffs and real grid constraints.
Utility Operations and Asset Management
Field operations, outage response, and asset lifecycle data brought into one system operators actually use.
Carbon, ESG, and Climate Reporting
Emissions data collected, calculated, and evidenced to a standard auditors and regulators will accept.
Energy Data and Analytics
Meter, sensor, and market data turned into forecasts your traders and operators can act on.
Strategy & Consulting
We help energy and utilities businesses develop technology strategy, navigate regulatory complexity, and identify where AI and engineering investment will deliver the most value.
Energy market analysis
Analytical and strategic guidance for growth in e-mobility, circular economy, and climate technology, supported by data platforms built to surface actionable intelligence.
Regulatory compliance
We build compliance capability directly into your software, keeping you aligned with environmental and regulatory standards across diverse energy sectors.
Sustainability roadmapping
Tailored roadmaps that connect engineering decisions to environmental goals, with measurement frameworks to track and report progress over time.
AI and Analytics for Energy Optimisation
We apply AI, machine learning, and advanced analytics to help energy companies measure, optimise, and improve the distribution and consumption of energy resources, across both operational performance and sustainability goals.
Carbon footprint prediction
AI models that project and manage emissions trajectories, giving organisations the insight to set credible climate targets and track performance against them.
ESG reporting and analytics
Platforms that simplify ESG data collection, analysis, and reporting, with AI-assisted anomaly detection to keep data clean and audit-ready.
Circular economy optimisation
Data analytics and AI applied to maximise resource efficiency, reduce waste, and support circular economy programmes across energy and utilities operations.
Software Development and Data Solutions
We build and modernise software and data platforms across the energy value chain, with AI-augmented development that accelerates delivery and improves code quality throughout the SDLC.
E-mobility solutions
Platforms for EV network management, charging infrastructure, and battery lifecycle optimisation, with AI-driven load management and smart scheduling at the core.
Climate and environment platforms
Custom solutions for emissions tracking, climate data analysis, and carbon management, built with the auditability that regulatory reporting requires.
Resource management tools
Software and analytics applied to waste reduction and sustainable resource management across complex energy and utilities supply chains.
Digital Transformation
We help energy and utilities companies modernise legacy systems and scale operations, with AI integrated into the platforms that power their next stage of growth.
Grid modernisation
AI-assisted load forecasting, fault detection, and demand response built into grid management software for improved efficiency and resilience.
Infrastructure for e-mobility
Scalable EV charging network solutions with AI-powered scheduling and grid integration that reduces cost for both operators and consumers.
Legacy system upgrades
Re-architecting existing energy and cleantech platforms for the cloud, with AI capabilities integrated into operational workflows that were not built for them.
Why Zartis
How we facilitate your success
Our climate commitment for the world beyond our technology
See how we’re addressing AI’s energy footprint, while committing to long-term environmental sustainability.
Energy & climate insights from our team
Ready to build smarter energy software?
Our AI, data, and engineering teams bring practical experience across energy, utilities, and climate technology. Let’s discuss what you are trying to build and where AI can make the most practical difference.
FAQs: Energy & Climate
What types of software does Zartis develop for the energy and climate sector?
We build energy management systems, smart grid applications, predictive maintenance tools, IoT monitoring platforms, ESG reporting systems, e-mobility platforms, and customer service portals. Each solution is tailored to the specific operational and regulatory context, with AI integrated where it adds measurable value.
Do you work with renewable energy companies or traditional utilities?
Both. We work with renewable energy companies, grid operators, established utility providers, e-mobility platforms, and climate technology firms. The delivery approach is consistent across all of them; what changes is the domain context and the starting point.
How does AI feature in your energy and climate work?
AI is applied to predictive maintenance, demand forecasting, anomaly detection, carbon footprint modelling, smart charging optimisation, ESG data quality management, and energy efficiency analytics. We scope AI to the specific operational problem rather than applying it generically.
Can you help us use AI and data analytics in our operations?
Yes. We design data pipelines, AI models, and operational dashboards that enable predictive maintenance, demand forecasting, and energy efficiency optimisation. We build with production constraints in mind: reliability, explainability, and ongoing observability from day one.
Can you integrate new platforms with our existing systems?
Yes. Integration with legacy energy systems, IoT infrastructure, and existing data platforms is a core part of what we do. We prioritise interoperability and plan migrations to minimise disruption to live operational systems.
How does Zartis ensure data security and compliance in energy sector software?
We apply ISO 27001 certified security standards across every engagement, including access controls, encryption, and secure development lifecycle practices. For AI systems, we add model-specific controls including output validation, audit logging, and governance documentation.
Do you provide support and maintenance after launch?
Yes. Our services extend beyond delivery. We provide ongoing support, performance monitoring, and continuous improvements to ensure your platform remains reliable, secure, and scalable as your needs evolve.