Trapped in unstructured files, valuable production data requires hours of manual processing, often leading to incomplete and unreliable results. Heliostats, our AI-powered data platform, goes beyond automation—using machine learning to process documents 90% faster while delivering deep, contextual insights that human analysts might miss.
By detecting patterns, identifying hidden risks, and enriching data for deeper context, Heliostats transforms raw information into actionable intelligence—helping investors, lenders, and third-party stakeholders optimize operations, minimize downtime, and maximize revenue, all while ensuring accuracy and security throughout the process.
U.S. Bank VP of Renewable Energy Business Development
Manual data entry is labor-intensive and diverts valuable resources from higher-value analysis
Processing large volumes of documents manually creates bottlenecks, delaying critical insights and actions
Human errors lead to unreliable data reporting and flawed decisions
Unstructured data buries key performance insights, making it difficult to detect risks, inefficiencies, and growth potential
Heliostats is an advanced AI engine that doesn’t just extract data — it understands it. By analyzing documents intelligently, our platform uncovers patterns, trends, and insights that drive better decision-making
From data ingestion to AI-powered reporting, every step is fully automated, eliminating manual bottlenecks and accelerating workflows
Your data remains your own. Our platform ensures sensitive document data remains secure and private throughout the process
Built for flexibility, Heliostats effortlessly scales with your business, handling increasing document volumes without compromising speed or performance
Our process includes six distinct steps that ensure the secure and accurate processing of production data.
Our flexible intake system supports multiple document submission channels (such as: AWS S3, Box, Dropbox, email attachments, API, etc). The system automatically detects and processes documents in any format, while our robust batch processing capability efficiently handles large document volumes at scale, streamlining the entire intake process.
Our advanced AI processing engine combines state-of-the-art OCR technology with sophisticated machine learning algorithms to extract and analyze document data. Unlike traditional template-based solutions, our system adapts to both structured and unstructured documents, delivering superior accuracy and rapid processing times while uncovering meaningful insights that other systems miss. The engine's template-free approach ensures flexibility across all types of renewable energy documentation
Every document undergoes rigorous automated quality checks. Our systems automatically flag errors and can enforce business rules to ensure data accuracy with cross-reference verification.
Our standardization engine transforms extracted data to ensure consistency across your entire portfolio. Whether you prefer industry-standard taxonomies or need custom standardization rules, our system makes data truly comparable and analyzable across all assets, enabling meaningful portfolio-wide insights and benchmarking.
Heliostats isn't just about automation—it’s about intelligence. Our AI-powered system doesn’t just extract and standardize data; it enriches it with valuable third-party context (weather adjustments, market trends, pricing data, etc.) and generates insights that human analysts would take days to uncover.
Our flexible export system ensures seamless integration with your existing workflow. Whether you need to import data into internal systems or third-party platforms, we can deliver the extracted data and insights in any format you require. This adaptable approach ensures your processed data remains easily digestible and immediately actionable across all your systems and tools.
Ali Afzal
Sr. Manager, Product & Strategy
Ali Afzal is a Senior Manager of Product and Strategy at kWh Analytics. Ali has...
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Hannah Rasmussen
Manager, Data Operations
Hannah Rasmussen is a Data Operations Manager at kWh Analytics. Prior to working at kWh...
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Mike Mousou
Data Engineer
Mike Mousou is a Data Engineer at kWh Analytics. Prior to joining kWh, he worked...
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Phoebe Hwang
Data Engineer
Phoebe Hwang is a Data Engineer at kWh Analytics. Prior to joining the team, she...
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Sanju Abraham
Chief Technology Officer
Sanju Abraham is the CTO at kWh Analytics. Prior to kWh Analytics, Sanju led the...
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