About us
Worai.ai
We explore the convergence of artificial intelligence and digital hardware — focusing on how AI can both design and run on advanced hardware systems.
Our work spans from AI-assisted chip design automation to real-time edge AI deployment on FPGA and MPSoC platforms.

Area of Interest
Accelerating Chip Design with AI
We leverage machine learning to automate and optimize hardware design workflows — from high-level specifications to synthesizable RTL, verification, and performance estimation.
- Specification-to-RTL generation using transformer and LLM models
- Intelligent design-space exploration
- Automated functional verification and synthesis optimization
Accelerating Design on Edge AI Platforms
We develop adaptive inference systems that bring AI to the edge, leveraging FPGAs and heterogeneous SoCs (MPSoCs) for real-time performance under tight power and resource constraints.
- Model compression and quantization
- Hardware-software co-design for edge AI acceleration
- Dynamic precision and adaptive compute frameworks
AI-Driven Hardware Generation
Developed proof-of-concept models that convert natural-language specifications into synthesizable RTL, enabling faster design iteration.
Edge AI on FPGA
Implemented CNN and transformer-based inference pipelines optimized for FPGA-based MPSoC systems with real-time performance.
Hardware Co-Design Framework
Explored hybrid architectures for efficient deployment of quantized AI models on embedded platforms with adaptive inference precision.