Safety-Critical Algorithms
Overview
DornerWorks helps organizations deploy artificial intelligence and machine learning (AI/ML) directly on embedded and edge devices, enabling intelligent systems to make real-time decisions where performance, reliability, and security matter most. Our engineers optimize AI/ML models for resource-constrained hardware, integrating them into embedded platforms that deliver low-latency, high-performance operation without relying on the cloud.
From proof of concept to production deployment, we help customers accelerate the adoption of AI while reducing technical risk and ensuring seamless integration with existing hardware and software architectures.
Problems We Solve
- Deploying AI/ML models on resource-constrained embedded devices
- Integrating AI/ML into existing embedded systems
- Reducing latency by moving intelligence to the edge
- Enabling secure, reliable AI for mission-critical applications
Solution Stories
-
Cognitive Radar System Using Xilinx RFSoC
Aerospace & DefenseHardware Software System IntegrationRead This
TOOLS & TECH
Artificial Intelligence
Edge AI
Machine Learning
Digital Signal Processing (DSP)
Hardware AI Accelerators
Python
C ++
Key Capabilities
Edge AI deployment and integration
Real-time signal processing and analytics
AI software integration with embedded applications
End-to-end embedded AI system development
Bring Intelligence to the Edge
Whether you’re exploring AI for the first time or scaling an embedded AI solution, DornerWorks can help you deploy intelligent systems that deliver real-time insights, lower latency, and reliable performance.