Embedded control systems & AI solutions for
Automotive · Heavy Duty · Drone · System Modeling
From control algorithm design to AI-powered edge deployment — end-to-end engineering solutions.
AUTOSAR-compliant ECU software development, chassis control algorithms, and functional safety (ISO 26262) for passenger vehicles and commercial platforms.
Robust embedded control for construction machinery, industrial vehicles, and off-highway equipment — engineered for extreme operating conditions.
Flight controller firmware, sensor fusion algorithms (IMU, GPS, Lidar), and autonomous navigation systems for multi-rotor and fixed-wing platforms.
Multi-body dynamics, co-simulation frameworks (Adams, Simulink, Python), and virtual prototyping to accelerate development and reduce physical testing.
Edge AI deployment on microcontrollers and embedded Linux — model compression, quantization, and real-time inference for resource-constrained hardware.
Marknext bridges the gap between academic rigor and industrial application. We are engineers and scientists who believe that the most complex systems can be tamed through elegant algorithms and disciplined engineering.
Our team brings hands-on experience in OEM-level automotive development, high-performance embedded systems, and cutting-edge AI research — combined into a lean, creative studio model.
A snapshot of the challenges we've engineered solutions for.
3D parametric spring design tool with IGES/STEP export for Adams multi-body simulation. Real-time 3D visualization via HTML5 Canvas.
On-device neural network runtime for ARM Cortex-M4, achieving real-time anomaly detection within 8KB RAM constraints.
Extended Kalman Filter for attitude estimation fusing IMU, GPS, and barometer data. Deployed on custom flight controller hardware.
Adaptive pressure control algorithm for construction machinery, reducing energy consumption by 18% via model-predictive control.
Whether you have a defined project scope or just an idea — we'd love to hear about your challenge.
