Edge AI & Industrial Automation
Solutions for high-performance
embedded systems
Our edge AI solutions combine high-performance compute and real-time sensing to power
next-generation automation and intelligent industrial operations.
AI/ML acceleration across FPGA, SoC, and edge compute platforms
High-bandwidth sensor processing for vision, LiDAR, RF, and industrial I/O
Deterministic real-time control for robotics and automated systems
Production-ready COTS platforms for edge AI and industrial control
DATA CENTER CHALLENGES
HPC and Cloud Teams Face Extreme Interconnect Demands
As compute becomes disaggregated and memory becomes shared, interconnects—not cores—become the bottleneck.
Low-Latency I/O Across Accelerators
AI/ML training loops and HPC jobs require predictable, sub-microsecond interconnects across GPUs, FPGAs, and DPUs.
Bandwidth Explosion in AI Era
PCIe 5/6 and CXL links must sustain peak throughput across multi-rail configurations and mixed workloads.
Fabric Coherency at Scale
CXL.cache and CXL.mem require robust validation, multi-host topologies, and predictable coherency behavior.
ASIC Time-to-Market Pressure
Complex accelerator SoCs need rapid bring-up with proven reference designs and pre-verified IP.
Automation Bottlenecks in Intelligent Systems
As automation grows smarter, real-time performance and determinism become harder to maintain.
Real-Time Constraints Are Hard
AI inference, sensor fusion, and control loops must execute within strict, deterministic time budgets.
Heterogeneous Sensors Overwhelm Compute
Vision, motion, RF, and ranging sensors generate parallel data streams that require low-latency processing.
Industrial Environments Demand Rugged Reliability
Edge systems must operate reliably under vibration, temperature extremes, EMC, and continuous duty cycles.
Cloud AI is Too Slow for Robotics
Critical control and safety loops require on-device intelligence without network-dependent delays.
Edge AI & Automation Solution Stack
Designed to bring intelligence, low latency, and determinism to edge-based industrial systems.
High-Speed Sensor Ingestion
- Support for multi-camera inputs (MIPI, HDMI, SDI, ARINC, LVDS)
- Interfaces for IMU, gyroscope, and accelerometer data
- JESD204B/C links for high-speed ADC and DAC data capture
- Low-latency pipelines for real-time feature extraction
AI/ML Acceleration on FPGA/SoC
- Hardware-accelerated CNN and transformer inference
- Optimized edge models using quantization and pruning
- Custom compute kernels mapped to DSP and fabric resources
- Predictable and bounded inference latency
Sensor Fusion & Real-Time Control
- Sensor fusion using Kalman, Mahony, and Madgwick algorithms
- Localization and fusion pipelines for mobile and robotic platforms
- Control and communication over AES, UART, CAN, and FlexRay networks
Industrial Networking
- Deterministic, time-sensitive networking for real-time systems
- High-speed Ethernet support from 1G to 100G
- Gateway designs enabling OT and IT system integration
Industrial-Grade Platforms for Edge AI and Robotics
Designed for harsh environments, these platforms deliver reliable performance for real-time industrial edge workloads.
An End-to-End Workflow for Industrial and Robotic Systems
From sensing and processing to real-time decision and actuation.
Where Our Edge AI Solutions Deliver Impact
Supporting intelligent automation across industrial and mobility-driven applications.
Machine Vision for
Quality Inspection
High-speed, multi-camera inspection enabled by FPGA-accelerated image processing.
Industrial Robotics
Control
Deterministic motion control using low-latency, FPGA-accelerated inference.
Predictive Maintenance Systems
High-frequency data acquisition combined with on-edge machine learning models.
Autonomous Industrial Vehicles
Real-time sensor fusion and adaptive path planning for autonomous operation.
Turn Edge AI Concepts into Deployed Systems
Partner with us to build deterministic, rugged edge AI solutions for automation and robotics.