AI models don't have to be large to be powerful.
AI models don't have to be large to be powerful.
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.
Improve the performance and power consumption of edge devices via computationally efficient Machine Learning algorithms
Revolutionize the edge Machine Learning space by offering BareML, a Software Development Kit that enables creation of the most efficient custom models based on users' unique needs
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!
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!
February 2025 - ResCon has entered Rev1 Ventures' "Customer to Capital" accelerator as one of the 11 members of the spring cohort. This outstanding program will provide a challenging and inspirational environment as we progress into the next stages of growth and maturity as a company. We're looking forward to learning from experts, mentors, and fellow cohort members throughout the spring!
Ongoing - ResCon is continually seeking individuals with a passion for aerospace and embedded Machine Learning. Especially relevant backgrounds include Guidance, Navigation & Control (GNC), Physics, embedded systems, and/or ML. Reach out today!
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