Gallery builds custom AI agents for utility companies, automating tasks across energy, water, and waste management operations. Their solutions handle customer support interactions, process thousands of field service reports and work orders instantly, and help improve compliance, customer satisfaction, and cost efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Utility operators often rely on manual processes for customer support, field service reporting, and regulatory compliance, which leads to slow response times, high operational costs, and inconsistent service quality. The volume of documents such as work orders and inspection forms can overwhelm staff, causing delays and errors in data handling.
Solution
Gallery delivers custom-built artificial‑intelligence agents that automate routine utility workflows. The AI agents integrate with existing CRM, ERP, and field‑service platforms to handle inbound customer inquiries and route them appropriately without human intervention. They use natural‑language processing and document‑understanding models to ingest and extract data from thousands of work orders, field reports, and inspection forms in real time. By standardizing data extraction and providing instant compliance checks, the solution reduces manual effort and helps utilities meet regulatory requirements more reliably. The platform also offers a flexible development process that allows utilities to define new use cases and have bespoke AI agents deployed quickly.
Target Audience
Primary customers are utility companies in the energy, water, and waste‑management sectors, particularly operations, customer‑service, and field‑service teams seeking to automate high‑volume processes.
Features
- AI‑driven customer support chatbot that connects to legacy ticketing and billing systems for seamless query resolution
- Automated document processing pipeline that parses, validates, and indexes work orders, field service reports, and inspection forms at scale
- Real‑time compliance monitoring that flags regulatory deviations based on extracted data and predefined rules
- Custom solution framework enabling utilities to specify unique workflows and have dedicated AI agents built and deployed
- Integration layer supporting common utility software APIs and data formats for end‑to‑end automation
- Continuous learning loop that refines model accuracy from operator feedback and new data sources