You Share Your Trained Model
- We work with all major formats: ONNX, PyTorch, TensorFlow
- Model access begins only under a signed NDA.
We turn your trained machine learning model into a high-performance, ultra-efficient deployment chip — built just for you.
From your trained model to deployment-ready silicon in four streamlined steps
Purpose-built advantages that set us apart in custom AI chip development
10-100x speed improvement over traditional GPU inference with model-specific optimization.
Every chip is built exclusively for your model - no generic components, maximum efficiency.
Up to 90% power reduction compared to GPU solutions for equivalent inference performance.
FPGA prototyping for immediate testing, with ASIC scaling for volume production.
Your models stay yours. Strict NDAs, zero retention policy, and secure development process.
From edge devices to cloud infrastructure, see how custom chips transform AI deployment
Power smart cameras and drones with real-time computer vision processing. Ultra-low latency object detection and tracking at the edge with minimal power consumption for extended battery life.
Safety-critical perception models with deterministic inference times. Custom chips ensure reliable performance under all conditions while meeting automotive safety standards.
Accelerate large language models (LLMs), computer vision, and recommendation systems at scale. Custom silicon delivers dramatic TCO reduction for enterprise AI workloads across cloud and on-premise deployments.
HIPAA-compliant edge processing for diagnostic imaging and patient monitoring with complete data privacy. Ultra-low power consumption for portable medical devices with FDA-grade reliability and security.
Pioneering the future of AI hardware acceleration
NexSilica™ is a hardware innovation company focused on AI model-specific deployment chips. Founded by silicon engineers and AI researchers, we bridge the gap between cutting-edge machine learning models and the specialized hardware needed to deploy them at scale.
Our mission is to close the gap between trained models and efficient real-world inference, without compromising on power, privacy, or performance. Traditional AI deployment relies on general-purpose processors that waste energy and computational resources on unused features.
Our approach is different: we analyze your specific trained model and design silicon that does exactly what your model needs—nothing more, nothing less. This model-specific approach delivers dramatic improvements in performance, energy efficiency, and cost-effectiveness while maintaining the security and reliability your business demands.
Every chip designed for maximum efficiency and performance for your specific use case.
Your intellectual property is protected throughout our entire development process.
We work closely with your team from initial analysis through deployment and beyond.
Let's discuss how custom silicon can transform your deployment strategy.
Start a ConversationReady to transform your AI deployment strategy? Let's discuss how custom chips can accelerate your models.
We typically respond to inquiries within 24 hours with initial technical assessment.
All conversations are covered under NDA. Your models and data remain completely secure.
Every chip is designed specifically for your model architecture and performance requirements.