Auggo provides an AI‑driven platform that speeds up equipment diagnosis by converting technicians' spoken observations into structured, multilingual CMMS/GMAO entries with step‑by‑step guidance and source citations. The system captures and indexes symptom‑cause‑remedy data to create a searchable knowledge base and offers analytics for failure trends, benchmarking, and total cost of ownership, while integrating with QR, NFC, or visual recognition for instant equipment context.
Funding
Funding not disclosed
Founders
Product
Problem
Maintenance technicians often spend excessive time diagnosing equipment failures and manually creating reports, leading to delayed repairs, inconsistent data capture, and loss of valuable troubleshooting knowledge.
Solution
Auggo offers an AI-driven platform that accelerates equipment diagnosis by synthesizing operational data into step‑by‑step guidance with precise source citations. Technicians dictate their observations, and the system automatically transcribes, corrects jargon, and structures the information to populate CMMS/GMAO fields in multiple languages within seconds. The platform continuously analyzes historical reports to extract recurring root‑cause patterns, building a searchable knowledge base that supports failure analysis, TCO benchmarking, and long‑term reliability improvement. Integration with QR, NFC, or visual recognition enables instant equipment context retrieval, ensuring technicians have relevant procedures and alerts at hand.
Target Audience
Primary users are industrial maintenance teams and service providers who need faster, more reliable diagnostics and structured reporting for complex equipment.
Features
- AI-generated, stepwise diagnostic guidance citing exact data sources
- Voice-to-text transcription with multilingual output and automatic GMAO field mapping
- Real-time equipment identification via QR code, NFC, or visual recognition
- Automated extraction of symptom‑cause‑remedy triples to enrich a central knowledge repository
- Analytics dashboard for failure trend analysis, benchmark comparisons, and total cost of ownership insights