Industries
Building AI-based predictive models to optimize energy production and support clean technology initiatives
Scaling clean energy while balancing cost, efficiency, and regulation is a constant challenge Energy and utility providers face pressure to modernize legacy systems, integrate renewable sources, and make operations more efficient,with limited visibility and disconnected data.
We help bridge the gap by designing AI-powered tools, predictive models, and intelligent workflows that support smarter, more sustainable energy systems.
From forecasting to field operations, we build practical solutions that reduce waste, improve uptime, and accelerate clean innovation
AI in CleanTech is projected to grow from $11.3B in 2024 to $54.8B by 2030: a 30.2% CAGR driven by the global push for efficiency, optimization, and sustainability
Asia-Pacific leads AI adoption in energy (50–59%), followed by North America and Europe, fueling global investments projected to hit $129B by 2030
AI-driven innovations in energy, food, and transport could cut global carbon emissions by 5.4B tons by 2035, positioning AI as a key climate ally
The AI market in energy and utilities is expected to rise from $11.3B in 2024 to $54.8B by 2030, a 30% CAGR powered by grid management, predictive maintenance, and renewable integration
We can build predictive models that anticipate energy usage and optimize load balancing, helping reduce waste and support grid stability
We provide tools to monitor performance data, detect anomalies, and schedule proactive maintenance, minimizing downtime and extending asset life
We design dashboards that track energy production, usage, and emissions, supporting compliance and operational decisions
We create intelligent agents that support field teams by generating reports, summarizing operational data, and guiding task execution
We offer lean, testable platforms for clean energy startups and utility innovation teams, ready to iterate, scale, and integrate into live environments
We provide automation solutions that collect and manage environmental data, supporting accurate reporting and alignment with regulatory standards
Predicting future trends and behaviors using historical data to drive strategic insights
Designing scalable data pipelines to process, transform, and store data efficiently