Manufacturers and automation providers often rely on multiple legacy CAD/CAM tools and manual robot programming to create pick‑and‑place, welding, or assembly cells. This workflow requires vendor‑specific expertise, incurs long development cycles, and makes it costly to reconfigure cells when tasks change. dffrnt.ai offers a web‑based, AI‑driven platform that shifts the design focus from robot motions to the manufacturing task itself.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers and automation providers often rely on multiple legacy CAD/CAM tools and manual robot programming to create pick‑and‑place, welding, or assembly cells. This workflow requires vendor‑specific expertise, incurs long development cycles, and makes it costly to reconfigure cells when tasks change.
Solution
dffrnt.ai offers a web‑based, AI‑driven platform that shifts the design focus from robot motions to the manufacturing task itself. Users describe the desired operation—e.g., a welding seam or a pick point—and the system automatically generates a collision‑free motion plan, selects suitable robot models and end‑of‑arm tooling, and produces vendor‑specific robot code (ABB, Kuka, UR, Comau, etc.). Integrated physics‑based simulation validates cycle time, payload, and energy consumption before deployment. The platform also provides collaborative workspaces, CAD‑model linking, and safety‑field visualization, enabling rapid iteration and on‑the‑fly adjustments without specialist programming.
Target Audience
The primary customers are system integrators, robot end‑users seeking in‑house reconfiguration capability, and Robotics‑as‑a‑Service operators managing fleets of industrial robots.
Features
- AI agents that translate high‑level task definitions into optimized, collision‑free robot trajectories, with options for speed or energy efficiency
- Automatic robot and tooling recommendation engine drawing from a curated parts database, including grippers, weld guns, cameras, and sensors
- Real‑time physics simulation that computes KPIs such as cycle time, robot load, and path velocity for validation and certification
- Multi‑vendor code generation supporting ABB, Kuka, UR, Comau and custom programming languages, outputting clean, maintainable source files
- CAD integration via SolidWorks and Inventor plugins for dynamic model linking and automatic geometry extraction
- Cloud‑based collaborative project hub with role‑based access, change tracking, and the ability to invite external freelancers
- Safety‑field editor that visualizes danger zones, laser‑scanner configurations, and generates documentation for compliance
- Interactive web embed that showcases the generated cell and allows visitors to upload product geometry for live demonstration