Win the Race by Running Faster
IP Hardware for AI application
Making Advanced AI Acceleration Accessible
Today, over 70% of semiconductor companies still lack dedicated AI accelerators. Building one internally demands years of R&D, tens of millions in investment, and teams of highly specialized engineers — with a high probability of failure at tape-out. Daidalos bridges this gap. Our solution deliveries deterministic performance, reduced power consumption, and scalability from edge devices to data centers.
Data centers are projected to increase energy consumption by +50% by 2025. Daidalos IP cores are designed to mitigate this trend, enabling energy-efficient AI at scale. Our architectures achieve world-class performance while cutting power requirements, supporting both economic growth and a sustainable digital future.
We develop IP solutions for AI chip design, focusing on AI accelerators that improve performance and reduce energy consumption. Our high-performance, low-power architectures offer a significant competitive advantage, enabling our customers to reduce time-to-market and make AI more sustainable.
HPC
Automotive
IoT
PC
Space
Mobile
-33%
Reduction in the number of needed units
-29%
Training time reduction
-57%
Energy consumption reduction
CMO
Specialist in AI adoption in public administration and digital transformation
CTO & CEO
Electronic Engineer
GC
Legal expert in AI, intellectual property and blockchain regulation
CFO
Economist and advisor in finance and corporate strategy
Studio Di Lorenzo – Moratti – Gesaldi is an independent consultancy firm specialized in corporate, tax, and administrative law.
www.studiodilorenzo.it