Affine Robotics provides a Human‑in‑the‑Loop automation platform that lets shop‑floor workers teach collaborative robots by simply demonstrating the desired motion. Using AI to capture the demonstration, automatically generate safe robot paths, and store them as reusable templates, the no‑code, smartphone‑style interface enables rapid changeovers for low‑volume, high‑mix production while ensuring consistent quality and reducing reliance on automation specialists.
Funding
$1M 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
Manufacturers producing many small-batch product variants face frequent production changes that require expert robot programming, leading to high labor costs, long setup times, and reliance on scarce automation specialists. Additionally, skilled manual techniques are difficult to capture and transfer to robots, resulting in inconsistent quality and safety risks in repetitive or hazardous tasks.
Solution
Affine Robotics offers a Human‑in‑the‑Loop automation platform that lets shop‑floor workers teach robots by simply demonstrating the desired motion. The system uses AI to observe the operator’s hand‑guided trajectory, automatically generate a safe robot path, and store the skill as a reusable template. A no‑code, smartphone‑style interface enables users to load, edit, and switch between these templates without programming expertise, supporting rapid changeovers for multi‑product lines. By combining collaborative robot hardware with smart teaching and template management, the solution delivers consistent quality, reduces dependence on external experts, and improves worker safety.
Target Audience
Primary customers are mid‑size manufacturers and contract producers that run frequent small‑batch or mixed‑model production and need a cost‑effective way to automate skilled manual operations.
Features
- Smart teaching that captures a single human demonstration and converts it into repeatable robot motions
- No‑code UI resembling a mobile app, allowing operators to configure and switch tasks with a few clicks
- Automatic object shape recognition and AI‑driven path planning to generate optimal trajectories
- Template library for saving and reusing task sequences, enabling fast changeovers in low‑volume, high‑mix production
- Collaborative robot optimization for safe human‑robot interaction and flexible motion programming
- Real‑time monitoring dashboard that lets workers oversee robot execution and intervene when needed