Yxir provides an AI‑enhanced quality management platform that centralizes non‑conformance records and guides users through incident reporting with automated data extraction. The system uses similarity search and root‑cause analysis to suggest corrective actions, and includes project‑tracking and live dashboards to reduce resolution time and improve equipment effectiveness.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial quality teams struggle with fragmented non‑conformance data, making it time‑consuming to locate past incidents, identify recurring issues, and determine effective corrective actions. This leads to prolonged lead times, higher non‑quality costs, and reduced overall equipment effectiveness.
Solution
Yxir offers an AI‑enhanced quality management platform that centralizes all non‑conformance records in a single, searchable repository. The system guides users through incident declaration with AI‑assisted forms, automatically extracts key information from attachments, and validates completeness. By analyzing historical cases, the AI surface similar incidents, relevant methods, and contextual data, then suggests probable root causes and tailored corrective actions. Integrated project‑tracking tools enable assignment, monitoring, and real‑time dashboard reporting of action plans, helping organizations shorten resolution cycles and anticipate future issues.
Target Audience
Primary users are quality engineers, compliance officers, and continuous‑improvement teams within large industrial manufacturers seeking to streamline non‑conformance handling and improve performance metrics.
Features
- AI‑driven, guided incident declaration form with automatic extraction from images and documents
- Real‑time similarity search across the centralized non‑conformance database to surface comparable cases and best‑practice resources
- Probable root‑cause analysis and recommendation of corrective actions based on historical outcomes
- Built‑in project management module for assigning, tracking, and advancing corrective‑action plans
- Live dashboards that visualize non‑quality metrics, lead times, and equipment effectiveness trends
- No mandatory data migration; existing records can be accessed through the unified interface