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
Accelerator Program with Rev1 Ventures
Accelerator Program with Rev1 Ventures
Accelerator Program with Rev1 Ventures
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!
New Project - NASA Space Act Agreement
Accelerator Program with Rev1 Ventures
Accelerator Program with Rev1 Ventures
May 2024 - ResCon is very excited to begin our first collaboration with NASA: a multi-year Space Act Agreement (SAA) project focusing on processing complex SansEC sensor signals using our Reservoir-Augmented Control and Health (ReACH) software. ReACH is ideal for remote environments requiring low-power machine learning using disconnected edge hardware. Initial development for ReACH was funded by the Air Force via an Open Topic Phase I STTR with Ohio University.
New Project - MDA Phase II
We're hiring! Multiple positions
We're hiring! Multiple positions
December 2023 - ResCon has been awarded a Missile Defense Agency Phase II SBIR focused on the modeling and prediction of Inertial Measurement Unit (IMU) performance characteristics. The team is using the funding to develop and field the RAIN algorithm. Short for "Reservoir Aided Inertial Navigation," RAIN uses computationally efficient machine learning techniques to correct for deterministic errors and improve IMU performance in real-time, all while being hosted on low power embedded microcontroller hardware.
We're hiring! Multiple positions
We're hiring! Multiple positions
We're hiring! Multiple positions
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!