About
HelioChip Technologies
Developer of proprietary edge AI software that operates directly on IoT devices worldwide
Our Mission
Founded in 2019, HelioChip Technologies develops and licenses proprietary edge AI software that runs directly on IoT devices. Our software platform enables autonomous AI processing at the edge without cloud dependency, using subscription-based licensing with transparent pricing.
Today, our software operates on 10M+ IoT devices across 15+ industries worldwide. Customers pay through software subscription fees and receive direct technical support from our team of 85+ edge AI software engineers.
Our Values
The principles that guide our edge AI innovation
Edge-First Innovation
We pioneer edge AI technologies that bring intelligence where it's needed most
Performance Excellence
Commitment to ultra-low latency and real-time processing in every solution
Client Success
Your success is our success - we're partners in digital transformation
Rapid Deployment
Quick adaptation to evolving IoT and edge computing technologies
Leadership Team
Experts in edge computing, IoT, and distributed AI systems
Dr. Rachel Zhang
Chief Technology Officer
PhD in Distributed Computing from Stanford, former NVIDIA Edge AI lead with 12+ years in edge computing
Marcus Williams
VP of IoT Solutions
Led IoT teams at AWS and Azure, expert in industrial edge deployments
Dr. Priya Patel
Head of Edge AI Research
Published 35+ papers on TinyML and edge optimization, MIT Media Lab alumni
Alex Thompson
Director of Hardware Engineering
Pioneer in NPU design for edge devices, Qualcomm and Intel veteran
Our Technology Focus
At HelioChip Technologies, our proprietary software leverages cutting-edge technologies for edge AI processing:
- TinyML and Model Compression
- Neural Processing Units (NPUs)
- Edge-to-Cloud Orchestration
- Federated Learning
- Real-Time Computer Vision
- 5G & MEC Integration
