Percy Roc develops AI-controlled microwave heating technology for industrial processes, offering a sustainable alternative to traditional methods. This system ensures homogeneous heating of materials, which maximizes product quality and reduces manufacturing defects in sectors like aerospace and automotive. The core value proposition is optimizing industrial heating to significantly reduce energy consumption, lead times, and operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial heating processes still rely on traditional autoclave ovens that heat material unevenly, causing defects such as cracks and requiring long cycle times. The high energy demand of these ovens also contributes to elevated operating costs and a larger carbon footprint. Manufacturers therefore face limited throughput, inconsistent product quality, and sustainability challenges.
Solution
Percy Roc delivers a high‑power microwave heating platform that generates homogeneous temperature fields across large workpieces. A closed‑loop control system uses machine‑learning algorithms to adjust microwave power in real time, ensuring uniform heating while minimizing energy consumption. The solution can be retrofitted to existing production lines and is scalable for industrial‑scale batches. Continuous sensor monitoring provides process traceability and enables predictive maintenance. By replacing conventional autoclave cycles, the platform shortens cure times, reduces material defects, and lowers overall production costs. The technology is positioned for sectors where material integrity and energy efficiency are critical, such as carbon‑fiber composite manufacturing.
Target Audience
Primary customers are manufacturers of carbon‑fiber composites and other high‑performance materials in aerospace, defense, automotive, wind‑energy, and transportation sectors that require large‑scale, uniform heating processes. The solution also serves industrial plants seeking to reduce energy use and improve product quality in thermal curing operations.
Features
- High‑power microwave generators capable of delivering uniform energy distribution over meter‑scale surfaces
- AI/ML‑driven closed‑loop control that continuously optimizes power settings based on real‑time temperature and dielectric feedback
- Integrated sensor suite (thermal, dielectric, and power metrics) for full process monitoring and data logging
- Scalable modular architecture allowing parallel operation of multiple microwave units for large‑volume production
- Retrofit kits and API interfaces for seamless integration with existing autoclave or curing equipment
- Energy‑efficiency analytics that quantify kilowatt‑hour savings versus conventional heating methods
- Remote diagnostics and firmware updates via secure cloud connectivity, supporting predictive maintenance
- Patent‑pending homogeneous heating methodology that minimizes thermal gradients and associated material defects