Ponderosa's software utilizes optical character recognition (OCR) to convert site photos into structured equipment data, automating the extraction and validation of specifications. This solution reduces post-audit processing time by 75%, enabling energy professionals to conduct more audits efficiently.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Energy audits involve significant manual data entry, translating site notes and photos into usable equipment data, which is time-consuming and error-prone. Disconnected workflows and extensive spec sheet searches further slow down the auditing process.
Solution
Ponderosa offers a software solution that streamlines energy audits by automating the extraction and validation of equipment specifications from site photos using optical character recognition (OCR). The platform eliminates manual data entry, turning site notes and images into actionable data. By extracting and organizing critical data from site surveys, Ponderosa simplifies the auditing process and reduces delays in energy modeling inputs, providing metrics in ready-to-use formats like Excel.
Target Audience
Ponderosa targets energy professionals, engineers, and energy auditors seeking to improve the efficiency and accuracy of their auditing processes.
Features
- Automated data extraction from site photos using OCR technology
- Conversion of unstructured site notes into structured equipment data
- Validation of equipment specifications to ensure data accuracy
- Seamless integration with energy modeling tools via Excel export
- Elimination of manual data entry for faster processing
- Simplified site survey process with organized data output