Our Technology Focus Areas
Artificial Intelligence Hardware
We develop specialized hardware accelerators optimized for machine learning inference, edge computing, and intelligent embedded systems.
Current IP Portfolio
CNN Accelerator – FP32
A high-performance floating-point accelerator optimized for convolutional neural network workloads requiring high computational precision.
CNN Accelerator – IFPH (Integer-FP32 Hybrid)
A lightweight hybrid accelerator combining integer arithmetic with floating-point processing for improved performance-per-watt and reduced area.
Applications
Edge AI
Computer Vision
Industrial Automation
Smart Sensors
Autonomous Systems
Embedded Intelligence
Advanced Research & Development
Cryptography and Security
•LWE-Based Accelerators
•Quantum-Resistant Engines
•Secure Hardware Architectures
•High-Speed Crypto Processing
•Embedded Security Platforms
FPGA Platforms
•Rapid Prototyping
•Hardware Validation
•Algorithm Acceleration
•System Integration
•Pre-silicon Verification
ASIC Implementation
•Advanced Digital Design
•Low Power Architectures
•High Performance SoCs
•DFT & Testability
•Physical Design & Signoff
•Silicon Realization
Analog, RF & Mixed-Signal
•Analog Circuit Design
•RF Frontend Design
•Mixed-Signal Verification
•AMS Co-Simulation
•High-Speed Interfaces
Emerging Technologies
•Quantum Computing Support
•Blockchain Hardware
•Secure IoT
•Next-gen Communication
•Advanced Packaging Research
180nm to Advanced Nodes
Technology Support
MPW Tapeout
Support
Open Source EDA Flow
Supported
Secure. Reliable. Research Driven.
Always.
Affordable Silicon
For Innovators