AI-Driven Design Services and IP Solutions

 Analog Intelligent Design Inc. offers cutting-edge AI-powered analog circuit design services to create high-performance analog circuits for SOCs in multiple markets. 

Our design services include:

• Machine Learning (ML) modeling for customer's analog circuits
• ML-based design and optimization of customer's analog circuits
• Design of dynamic self-tuning analog circuits using AI for customers
• ML-based process migration for customer's analog circuits

Unlike traditional analog design services companies that rely heavily on SPICE simulations and manual iterations, Analog Intelligent Design leverages our own AI research to:

• Overcome the SPICE bottleneck, enabling faster simulations and design iterations
• Deliver one analog design per day, a pace far beyond conventional methods
• Rapidly customize and port designs across different process technologies
• Reduce risk of silicon failure with self-tuning, AI-optimized circuits

Customers working with Analog Intelligent Design gain:

• Faster time-to-market with low re-spin risk and robust analog designs
• Higher design reliability through predictive modeling and self-tuning circuits
• Lower development costs by minimizing re-spins and manual tuning
• More competitive SOC products with 1-2% analog spec variability over PVT
• Improved PPA while porting to new technology with ML-based optimization
• Accurate ML models included in deliverables

 Analog Intelligent Design Inc. offers a portfolio of analog Design IP that empowers companies to build high-performance, analog-rich integrated circuits with unprecedented speed and reliability. 

Our analog IP catalog includes:

• Bandgap, voltage, and current references
• Low Drop-Out (LDO) regulators
• Operational amplifiers
• High-speed SERDES
• Data converters
• RF components: mixers, low-noise amplifiers (RLNAs), VCOs, and more

Traditional analog IP often requires expensive manual calibration, process-specific customization, and long validation cycles. We disrupt this model by embedding machine learning directly into our IP design process and products, enabling:

• Customization and process porting across foundries and nodes
• Self-tuning capability that adapts to silicon variation
• AI-driven optimization for performance, power, and area
• Faster design integration with reduced risk of failure

By adopting Analog Intelligent Design’s IP, companies can:

• Accelerate tape-outs with plug-and-play analog blocks that work
• Reduce silicon re-spins through predictive, self-correcting designs
• Lower engineering cost with AI-assisted design and process porting
• Achieve higher performance for analog-intensive SoCs with less effort and cost
• Re-use included ML models for other purposes