Optawa
Optawa provides a machine learning software platform that predicts and prevents machine tool failures in CNC machining operations. The platform captures production data, analyzes it to forecast tool wear or breakage, and delivers actionable recommendations through a web-based dashboard, helping manufacturers reduce downtime, lower tooling costs, and increase production efficiency.
- Manufacturing / Industry 4.0
- Artificial Intelligence
- Industrial Automation
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Manufacturing companies lose time and money due to unplanned machine tool failures, with downtime costing up to $500K per hour and tool breakage accounting for roughly 20% of total downtime. Tooling costs typically represent 3–12% of total machining costs, and production scrap further erodes profitability.
Solution
Optawa provides a machine learning software platform that transforms raw machining data into actionable insights to predict and prevent tool failures. The platform captures production data from machines, analyzes it using machine learning models to forecast tool wear or breakage, and delivers clear, data-driven recommendations. A web platform turns complex analysis into intuitive visualizations and actionable alerts, enabling manufacturers to reduce machine downtime, lower tooling costs, and increase production efficiency.
Target Audience
Primary customers are manufacturing companies that operate CNC machining equipment and want to reduce downtime, scrap, and tooling costs through predictive maintenance.
Features
- Machine learning model that analyzes previously unused machining data to predict tool wear and breakage
- Three-step workflow: data collection from production machines, model analysis, and recommendations delivered via web platform
- Intuitive visualizations that translate complex analysis into clear, actionable alerts
- Benefits include reduction in machine downtime, lower tooling costs, and increased production efficiency