AI-NC provides an AI-driven design co-pilot for mechanical engineers that automates the design for manufacture process by predicting CNC cycle times and optimizing machining parameters based on uploaded STEP files. This technology reduces the time spent on CAM programming and minimizes costly design flaws, enabling faster and more accurate quoting for manufacturing projects.
Funding
$670K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mechanical engineers face challenges in accurately estimating CNC machining cycle times and optimizing machining parameters during the design for manufacturing (DFM) process. Inefficient CAM programming and unforeseen design flaws lead to inaccurate quoting, increased manufacturing costs, and delayed project timelines.
Solution
AI-NC provides an AI-powered design co-pilot that automates the design for manufacturing process by predicting CNC cycle times and optimizing machining parameters based on uploaded STEP files. The platform's draft toolpath engine simulates the machining of a part, predicting setup orientations, tooling requirements, feeds, and speeds to instantly estimate cycle times. Users can customize the software with their specific machine tools, materials, stock, workholding, and tooling configurations to ensure accurate estimates. The platform also highlights potential design flaws and expensive operations, enabling engineers to address machinability issues before sending out a quote.
Target Audience
The primary users are mechanical engineers and manufacturing professionals involved in CNC machining, CAM programming, and design for manufacturing.
Features
- Instant CNC cycle time estimation based on uploaded STEP files
- Draft toolpath engine predicts setup orientations, tooling, feeds, and speeds
- Customizable parameters for machine tools, materials, stock, and tooling
- Machinability report highlighting potential design flaws and expensive operations
- Simulation of machining processes to identify and resolve issues early
- Identification of the most expensive operations to optimize machining strategies