What We Do
ResCon provides ultra-efficient Machine Learning solutions to clients in the aerospace, IoT, and wearables industries that require local, low-latency data processing. Our ML approach makes devices smarter, faster, and more power-efficient; no cloud, no massive data centers, no expensive specialized chips required. Saving time, money, and energy while improving security, ResCon puts the “smart” in smart devices by integrating ML insights with clients’ existing applications and hardware.
Latest News
We're Hiring! New Position Open for Computer Vision Developer
We're Hiring! New Position Open for Computer Vision Developer
We're Hiring! New Position Open for Computer Vision Developer
Spring 2026 - ResCon is seeking a Lead Computer Vision Developer for a new and impactful project.
We are continually seeking individuals with a passion for embedded ML algorithms, especially those with experience in the Guidance, Navigation & Control (GNC), Wearables, and IoT/Anomaly Detection spaces. A strong background in CS, Math, Physics, and/or ML applications is highly desired. Reach out today!
We're Published! NASA SAA Technical Report
We're Hiring! New Position Open for Computer Vision Developer
We're Hiring! New Position Open for Computer Vision Developer
August 2025 - ResCon's Space Act Agreement (SAA) project, which focused on processing complex SansEC sensor signals using our Reservoir-Augmented Control and Health (ReACH) software, now has a technical report available to the public. Our NASA collaboration was an amazing experience, and use-cases like this one--edge processing of vast datasets with minimum latency in a disconnected environment (e.g. off-planet)--are why we do what we do!
BareML™ Benchmarking Results
We're Hiring! New Position Open for Computer Vision Developer
BareML™ Benchmarking Results
July 2025 - ResCon performed benchmarking of our Machine Learning approach using the MLPerf Tiny framework's Anomaly Detection task. Our ML model was generated and trained using the BareML™ toolkit, which is currently in development. We aim to make BareML™ available to engineers and product designers who want to embed intelligence into the smallest and lowest-power devices on the market. Click on the button below to learn more, and download a copy of the benchmarking white paper for more details!