AI-Driven Design Services and IP Solutions

  AID provides turnkey analog and RF design services — from concept to silicon. Whether you need block-level IP or a full custom chip, our designs are optimized for mission-critical performance and validated for extreme conditions. 

Our design services include:

• AI-based Full-chip and block-level design
• PVT-robust, self-tuning architectures
• Silicon-validated predictive modeling
• AI-based process migration 

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

  We offer a portfolio of pre-designed IP blocks that are self-tuning, software-configurable, and ready for integration. Built with our silicon-proven ML models and proprietary AI design methodology, these cores deliver predictable performance and long-term reliability.   

Every block we offer is silicon-proven, self-tuning, and software-configurable — ready to integrate into your next mission-critical system.

Our AI-enhanced IP cores include:

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