Industries
CleanTech, Energy, and Utilities
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
Future trends
AI in CleanTech Market
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
AI Energy Investments
Asia-Pacific leads AI adoption in energy (50–59%), followed by North America and Europe, fueling global investments projected to hit $129B by 2030
Carbon Emissions Reduction
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
AI in Energy & Utilities Market
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
Future trends
taux d’échec
objetconnecte.comTaux d’échec des bornes DC réduit à 2 %
Les systèmes d’IA diagnostiquent et résolvent les pannes des bornes de recharge en moins d’une minute, réduisant drastiquement les interruptions de service pour les utilisateurs finaux.
L’IA a réduit le taux d’échec des bornes DC de 31 % à 2 % en moins d’une minute.
objetconnecte.com
deployment rate
JLLAI-Driven Operators Set to Reach 40% in Power Utilities
Power utilities are fast adopting AI-enabled control‑room operators, transforming grid management and reducing human intervention, which will reshape workforce skills and operational protocols.
40% of power and utilities organizations will deploy AI‑driven operators by 2027.
JLL
能效提升
德勤BMSAI能效提升12%
嵌入 AI 的电池管理系统提升电机能效12%，同时将维护成本降低20%，为电动汽车制造商显著改进运营成本结构。
AI嵌入BMS使电动汽车能效提升12%。
德勤
green AI capacity
PR Newswire5 GW of Green AI Data Center Capacity by 2030
China’s 80% renewable energy mandate for new data centers is driving rapid green AI infrastructure growth, amplifying clean energy integration and powering AI workloads.
5 GW of green AI data center capacity is expected by 2030, demonstrating rapid growth of renewable‑powered AI infrastructure.
PR Newswire
Our use cases
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 can 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
We know how to design dashboards that track energy production, usage, and emissions, supporting compliance and operational decisions