The startup provides a field process engagement and automation platform that enables energy companies to create and manage custom mobile applications for data collection. This technology addresses workforce challenges by allowing organizations to gather structured data efficiently, facilitating faster scaling and improved operational insights.
Funding
$700K 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
Renewable energy companies often struggle with managing field operations due to a reliance on legacy software designed for office-based users, leading to inefficiencies in data collection and workflow management for deskless, mobile, and remote workers. This results in increased soft costs, repeat field trips, and delays in report generation.
Solution
Scoop Robotix offers a mobile work process management and automation (mPMA) platform that enables renewable energy firms to create custom mobile applications for field data collection and workflow automation. The platform allows domain experts to define automated workflow actions, ensuring seamless process connectivity and real-time notifications for task assignments. By centralizing data collection and providing native mobile guidance, Scoop Robotix streamlines operations, reduces the need for continuous oversight, and facilitates faster reporting through comprehensive data formatting and export capabilities. The integrated Aiva virtual assistant, powered by deep learning, automates data analysis, enabling teams to focus on value-added tasks.
Target Audience
The primary target audience includes solar and wind energy companies seeking to improve the efficiency of their field operations, reduce soft costs, and streamline data collection and reporting processes.
Features
- Drag-and-drop app builder for simplified creation and editing of mobile work process applications
- Robotic Process Automation (RPA) to define rules and automate workflows
- Aiva virtual assistant powered by deep learning for automated data analysis and pattern recognition
- Native mobile guidance with embedded reference manuals, documents, and training videos
- Centralized data collection with specified measurements, checks, and multimedia capture
- Comprehensive data formatting and export capabilities for client-facing reports and integration with other enterprise systems via API
- Workflow and actions to connect processes and notify the right people for task assignments