Perception Systems
ChronaVision
Event-based vision hardware for low-latency motion perception, FPGA preprocessing and local AI inference in autonomous and industrial systems.
Explore system →Engineered intelligence for the edge
Edge AI and rugged systems that decide locally.
Alvexis develops sensing, processing, communications and deployable embedded hardware for autonomous, defense and industrial systems that cannot wait for a remote cloud.
Sensor to decisionOne integrated engineering chain
FPGA · NPU · MPUWorkload-specific compute
Rugged by designPower, thermal and I/O engineering
Product portfolio
Modular hardware for perception, communications and edge compute.
Each product class reuses a common engineering core while allowing program-specific interfaces, compute tiers and mechanical configurations.
Mission Networks
Resilient Field Communications
Resilient field communications platform with handheld, relay and command gateway options for remote teams, emergency response and industrial sites.
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Edge Platforms
Embedded Compute Module
Industrial embedded compute module family for Linux, RTOS and edge AI workloads with secure boot, camera and mission I/O options.
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Edge Platforms
Rugged Edge Computer
Rugged fanless edge computer with wide-input power, configurable I/O and embedded Linux or edge AI compute options for field deployment.
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Mission Networks
Multi-Protocol Gateway
Isolated multi-protocol gateway for CAN-FD, RS-422, RS-485 and Ethernet integration in defense, industrial and test systems.
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Perception Systems
ForgePulse
ForgePulse wireless vibration monitoring hardware for predictive maintenance, high-bandwidth condition sensing and edge feature extraction in industrial assets.
Explore system →Shared engineering core
From sensor interface to verified field hardware.
1
Sensing and I/O
Camera, inertial, vibration, CAN, serial and Ethernet interfaces selected around the mission data path.
2
Compute partitioning
FPGA, NPU, MPU and real-time cores assigned by latency, power, determinism and software needs.
3
Rugged electronics
Protected power, thermal paths, connectors, mechanical retention and validation planning.
4
Lifecycle delivery
BSP, application integration, production test, configuration control and iterative field support.
Application focus
View all solutions →Decision advantage in demanding environments.
Autonomous systems
Fast local perception
Sensor processing, navigation support and mission logic close to the platform.
Agricultural intelligence
Traceable local AI decisions
ForgeAware-AG links field telemetry, AI decisions and outcomes on the ForgeEdge AI Core.
Explore ForgeAware-AG →Industrial reliability
Condition and interface intelligence
Vibration monitoring, protocol integration and field data capture.
Test and verification
Evidence for complex faults
Timestamped logging, custom fixtures and repeatable validation workflows.
Engineering notes
All engineering notes →Practical guidance from the architecture level.
Engineering note
Event-Based vs Frame-Based Vision: Choosing for the Decision Loop
Compare event-based and frame-based vision by latency, data behavior, image content and integration trade-offs for autonomous edge systems.
Read the note →Engineering note
FPGA, NPU or MPU? Partitioning an Edge AI Architecture
A practical guide to partitioning edge AI workloads across FPGA, NPU, MPU and MCU resources by latency, power and software needs.
Read the note →Engineering note
How to Design a Rugged Fanless Edge Computer
Engineering considerations for rugged fanless edge computers: power transients, thermal paths, connectors, EMI, software and production test.
Read the note →Have a latency, interface or ruggedization constraint?
Share the platform, environment and decision requirement. We will map the sensing, compute and hardware architecture before committing to a product configuration.
Start an engineering discussion