Neuramate provides a wearable AI platform that records expert operators’ motions and decisions on the factory floor via a first‑person headset, automatically converting the footage into robot‑ready training data. The data is validated in NVIDIA Isaac Sim and delivered as a hardware‑agnostic API, enabling rapid deployment of human‑level skills to any robot—arms, cobots, or humanoids—in days rather than months.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers face a growing shortage of experienced operators as skilled workers retire, while existing robotic systems lack the ability to acquire and replicate complex human expertise. This knowledge gap limits automation adoption and leaves a large portion of factory floor processes unautomated, representing significant unrealized industrial revenue.
Solution
Neuramate offers a wearable AI platform that records an expert operator’s motions and decision‑making directly on the factory floor using a first‑person headset, eliminating the need for manual annotation. The captured data is automatically transformed into structured, robot‑ready training datasets and validated within NVIDIA Isaac Sim, ensuring safety and performance before any physical deployment. Once verified, the learned skills are packaged as a portable API that can be integrated with any robotic hardware—arms, cobots, or humanoid platforms—without additional re‑engineering. This end‑to‑end workflow enables rapid deployment of human‑level skills to robots in days rather than years, allowing factories to scale expertise across their operations.
Target Audience
Primary customers are industrial manufacturers and automation integrators seeking to extend robotic capabilities by transferring expert human knowledge to existing and new robot fleets.
Features
- First‑person wearable headset that continuously captures operator motions and contextual decisions without scripting or setup
- Automated conversion of raw footage into structured training data, removing the need for human labeling
- Simulation‑based validation using NVIDIA Isaac Sim to test and refine skills before hardware deployment
- Hardware‑agnostic API that delivers captured expertise to any robot platform, including arms, collaborative robots, and humanoids
- Rapid deployment pipeline that reduces integration time from months to days, facilitating scalable skill transfer across multiple factory floors