Axomind offers an AI‑driven platform that converts CAD models into robot task scripts, simulates the manufacturing process, and orchestrates industrial robots and future humanoid agents for automated part production. The system provides real‑time monitoring, predictive alerts, and plug‑and‑play integration with robot controllers and PLCs, reducing programming errors and lead times for mid‑to‑large manufacturers.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers often face lengthy lead times and high error rates when converting CAD models into physical components, relying on manual programming and disparate automation tools that lack coordination and reliability.
Solution
Axomind provides an AI‑powered platform that automates the end‑to‑end workflow from CAD design to physical part production. The system ingests CAD files, generates robot task plans, and simulates the entire manufacturing sequence before deployment. It then orchestrates industrial robots—and future humanoid agents—to execute the planned operations with real‑time monitoring and adaptive control. By emphasizing reliability, the platform reduces downtime, minimizes human‑programming errors, and streamlines factory workflows, leading to higher throughput and lower production costs.
Target Audience
Primary customers are mid‑to‑large scale manufacturers and factory automation teams seeking to automate part production from CAD designs with minimal manual programming.
Features
- AI-driven translation of CAD models into robot executable task scripts
- Integrated 3D simulation environment for pre‑deployment validation and collision checking
- Centralized orchestration engine that coordinates multiple robots and humanoid agents across a production line
- Real-time monitoring dashboard with predictive failure alerts and automatic re‑planning
- Plug‑and‑play connectors for common industrial robot controllers and PLC systems
- Scalable architecture that supports both small batch and high‑volume manufacturing scenarios