Energy and Utilities

Ensure Energy Supply And Optimum Asset Performance With RapidCanvas AutoAI

Improve the productivity of energy assets, place utilities facilities in optimal conditions, and ensure a steady supply of energy using RapidCanvas AutoAI.

Why customers choose RapidCanvas for AI in energy

See Rapid Time-To-Value
Address unique business needs without starting from scratch; state your business problem and the AutoAI discovery process will generate a matching AI solution within hours.
Build Expert-Led AI
Leverage the industry knowledge of data science experts, as required, to validate against industry benchmarks and ensure optimal AI solution performance.
Access Actionable Business Insights
Create visual, interactive data apps, dashboards and reports to showcase business KPIs and outcomes, and monitor business performance.
Use An End-To-End AI Solution
Achieve an end-to-end AI solution with an out-of-the-box setup for all steps from data orchestration, data preparation, transformations, model building and testing, through to model deployment and data apps.

Hear from Our  Customers

“Suzlon is on a journey to use big data and AI to reimagine the future of our business. I am impressed with RapidCanvas as a disruptive AI platform that has streamlined the journey from idea to prototype to production. Their platform is user-friendly, and their AI solutions for wind turbine use cases meet our business needs precisely.
Suunil Narula
Chief of Administration, Suzlon Group

Address The Challenges Of Energy Production With AI & ML

Expensive asset maintenance
Increased downtime and failures
Difficulty in energy demand forecasting
Optimum site selection for assets
Inefficient resource allocation
Safety concerns and challenges
Expensive asset maintenance
Increased downtime and failures
Difficulty in energy demand forecasting
Optimum site selection for assets
Inefficient resource allocation
Safety concerns and challenges
Expensive asset maintenance
Increased downtime and failures
Difficulty in energy demand forecasting
Optimum site selection for assets
Inefficient resource allocation
Safety concerns and challenges
Expensive asset maintenance
Increased downtime and failures
Difficulty in energy demand forecasting
Optimum site selection for assets
Inefficient resource allocation
Safety concerns and challenges
Expensive asset maintenance
Increased downtime and failures
Difficulty in energy demand forecasting
Optimum site selection for assets
Inefficient resource allocation
Safety concerns and challenges
Expensive asset maintenance
Increased downtime and failures
Difficulty in energy demand forecasting
Optimum site selection for assets
Inefficient resource allocation
Safety concerns and challenges

92%

Energy and utilities companies that are either already invested in AI or will do so shortly

99%

Increase in operating reliability for firms who have deployed digital twins

$11M

Decreased expenses due to failure prevention with digital twins

Solution Capabilities

Free up the time of skilled resources with more efficient processes

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Build highly accurate AI models to solve critical challenges in energy

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Manage complex compliance requirements with industry-leading best practices for risk and cybersecurity

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Access all your required data on one platform, ready for machine learning

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Gain customer trust and stakeholder buy-in with explainable AI processes for energy operations

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