Workify provides an intelligent maintenance and asset management platform that connects fleet systems, telematics, and CMMS tools with cross-brand repair knowledge. The platform enables technicians to ask natural-language questions and receive source-backed answers drawn from service manuals, past work orders, and technical documentation, reducing repair resolution time by up to 65% for dealerships.
Funding
Funding not disclosed
Founders
Product
Problem
Fleet operators and repair shops face a persistent gap between asset management systems and the actual execution of repairs. While telematics and CMMS platforms identify and organize maintenance work, technicians still waste significant time searching through service manuals, past work orders, and service bulletins for the information needed to diagnose and fix equipment—delays that compound across teams and reduce overall service efficiency.
Solution
Workify is an intelligent maintenance platform that serves as the missing execution layer between fleet management systems and technicians. It integrates with existing fleet, telematics, and CMMS stacks rather than replacing them, then provides a natural-language interface that lets technicians ask questions about machines or service problems and receive instant answers grounded in the organization's own service documentation. Using a Retrieval-Augmented Generation approach, Workify fetches relevant data from dealership records and displays the source alongside each response, allowing technicians to verify information against their own judgment. The platform includes 24/7 human support and is built on cross-brand technical knowledge, delivering faster repair resolution for service teams without requiring multi-year migrations.
Target Audience
Primary customers are machinery dealerships, fleet operators, and repair shops that use telematics and CMMS systems and need to speed up diagnosis and repair workflows across their service teams.
Features
- Natural-language query interface that transforms document searching into direct question-and-answer interactions with technicians
- Retrieval-Augmented Generation architecture that grounds AI responses in the organization's existing maintenance records and manuals
- Source visibility for every answer, enabling technicians to verify information against their own expertise and professional judgment
- Plug-in integration with existing fleet platforms, telematics systems, and CMMS software stacks, avoiding rip-and-replace migrations
- Cross-brand technical knowledge base that spans equipment types beyond what legacy providers cover
- Real-person 24/7 support with no ticket queues or chatbot runarounds during active breakdowns