A Reliable, High-Performance Alternative to Legacy Autopilots: Upbeat Launches Bluemag Pi with Onboard AI

­Upbeat Technology, a pioneer in ultra-low-power compute, voice, and edge AI sensing solutions, today announced the launch of Bluemag Pi, a sensor-integrated AI flight controller built for long-endurance fixed-wing aircraft, commercial multirotor drones, and unmanned surface vessels. The board runs on Upbeat's UP301 system-on-chip, which pairs SiFive's E3 and E2 RISC-V processor cores in a dual-core architecture built for flight-critical applications.

The UP301's multicore architecture separates time-critical flight tasks from communication, navigation, and system-management functions, improving responsiveness and reliability. The board provides ample RAM, nonvolatile storage, hardware floating-point capability, timers, direct memory access (DMA), and interrupt resources to support advanced flight operations. Bluemag Pi runs the Apache NuttX real-time operating system and is compatible with the industry's leading open-source flight-control stacks, including PX4, ArduPilot, and Betaflight.

The launch comes as the global drone market accelerates. According to Grand View Research, the market was valued at approximately $96.4 billion in 2026 and projected to reach $182.4 billion by 2033, growing at roughly a 9.5% compound annual rate, driven by AI-enabled, long-endurance platforms in agriculture, infrastructure inspection, logistics, and defense. That growth has outpaced the flight-controller market's ability to keep up: most widely used autopilots still run on general-purpose processors with no dedicated AI acceleration, leaving drone makers to bolt on a separate companion computer just to add onboard intelligence. Bluemag Pi is designed to close that gap, giving developers a single, reliable board built for both flight-critical control and AI inference.

Bluemag Pi pairs two independent inertial measurement units (IMUs), a barometer, and dual global navigation satellite system (GNSS) receivers with sensor-fusion software that continuously cross-checks their readings. As a result, the board produces dependable altitude, attitude, and velocity estimates even if a single sensor drifts or fails. For connectivity, the board streams telemetry to a ground station or companion computer over a standard MAVLink radio link, accepts input from common remote-control receivers, and drives motors through an integrated four-in-one electronic speed controller for precise throttle response. Additional interfaces support expansion sensors and peripherals, and onboard storage continuously logs flight data for diagnostics, tuning, and post-flight analysis.

"We chose Upbeat's Bluemag Pi flight control board over standard solutions because it's remarkably easy to integrate yet built with the real-time performance and robust feature set advanced drone development demands. That combination of dependable performance and comprehensive capabilities has made it the right platform for building sophisticated UAV solutions," said Steven Yen, Founder and CEO, Drone Dynamics.

Bluemag Pi is available as a standard board that fully supports secondary development, allowing engineers to implement their own custom flight algorithms. Alternatively, customers looking to design their own proprietary carrier boards can purchase the UP301 chip directly. With suitable hardware and firmware integration, the UP301 platform supports manual, stabilized, altitude-hold, position-hold, mission, return-to-home, and autonomous flight modes. Bluemag Pi is available for purchase now on the Upbeat Technology website.

"Flight control is one of the toughest tests for any processor architecture, hard real-time guarantees, built-in redundancy, and now onboard AI, all on a tight power budget. Leveraging both SiFive’s E3 and E2 Essential RISC-V CPU IP Complexes lets Upbeat dedicate one core to flight-critical control and the other to AI and system tasks, without either one compromising the other. Bluemag Pi proves RISC-V is ready for more than edge AI, it's ready for the real-time, safety-critical systems that autonomous flight depends on," said Martyn Stroeve, Vice President, SiFive.