Products
Silicon-Efficient IP & AI-Enhanced EDA Platforms engineered to deliver breakthrough Power, Performance, and Area (PPA) across process nodes from 65nm to 7nm and beyond. Validated across GF14, TSMC16, TSMC28, TSMC65.
Our Products
Comprehensive suite of AI-enhanced EDA tools, optimized cell libraries, and high-performance datapath IP.
ARCEL™
Agentic AI Architecture Selection Engine
BLIB™
Leakage-Aware Companion Library
Datapath IP Portfolio
Ultra-Efficient Compute Blocks
ARCEL™
Founded on SilicorAI's granted patent portfolio
ARCEL is an Agentic AI Architecture Selection Engine that strategically directs major commercial EDA tools (Synopsys DC/FC, Cadence Genus/Innovus) to the Global PPA Optimum. ARCEL acts as an AI-driven intelligence layer that maximizes your existing multi-million dollar EDA investments—not a competing tool, but a strategic optimizer that enhances your current toolchain. ARCEL is built on SilicorAI's patented architecture-to-gate optimization technology.
Key Capabilities
Analyzing datapath workload & structure
Selecting best-fit architecture automatically
Driving synthesis & PD tools with AI-based decisions
Optimizing post-RTL, post-synth & post-PD
Works with DC, FC, PT, Genus, Innovus, Aprisa
Key Outcomes
Proven across multiple designs with consistent PPA improvements over customer baselines.
What Makes ARCEL Different
Conventional EDA only optimizes within a tool stage. ARCEL optimizes across stages—architecture → synthesis → PD—unlocking gains traditional flows cannot achieve.
ARCEL doesn't replace your EDA tools—it strategically directs them to maximize your existing investment and deliver superior PPA results.
Supported Technology Nodes
BLIB™
Founded on SilicorAI's granted patent portfolio
BLIB is a Leakage-Aware Standard Cell Library and Workload-Optimized Companion Library that reduces switching, leakage, and area through leakage-aware transistor design, multi-Vt & drive-strength optimization, interconnect-aware and noise-margin-aware cells, and architecture-co-designed datapath cells. BLIB delivers up to ↓163% leakage power reduction—the most impressive leakage reduction in the industry.
BLIB is NOT a foundry replacement.
It is a strategic, patented companion library for maximum power savings, solving leakage imbalance—the primary advanced-node pain point—without threatening foundry relationships.
Key Features
Leakage-aware transistor design (addresses advanced-node leakage imbalance)
Multi-Vt & drive-strength optimization
Interconnect-aware, noise-margin-aware cells
Architecture-co-designed datapath cells
Workload-optimized for AI, DSP, networking, NPU, MCU
Works across Bulk CMOS, FD-SOI, FinFET
Complements foundry libraries—strategic companion, not replacement
Multiple Variants Optimized For:
Datapath IP Portfolio
Founded on SilicorAI's granted patent portfolio
Ultra-Efficient Compute Blocks engineered for extreme efficiency and scalability. Our datapath IP is built on SilicorAI's patented architecture-to-gate optimization technology.
Adders (8/16/32/64-bit)
ComputeOptimized arithmetic units for power and area efficiency
Multipliers, MAC units
AIHigh-efficiency multiply-accumulate units for AI/ML workloads
Systolic array processors
AIParallel processing arrays for neural network acceleration
Matrix multipliers
AISpecialized cores for matrix operations in AI/ML workloads
DSP blocks (FIR/IIR, FFT, filters)
DSPDigital signal processing building blocks for audio and communications
NoC datapath & control logic
SoCNetwork-on-chip datapath components for SoC interconnects
Key Benefits
Up to 15–30% power savings post-synthesis
Reduced cell count and area footprint
Stable timing across PVT
Perfect fit for AI, NPU, GPU, modem, and SoC subsystems
Example Results (Representative)
~13–15% area and dynamic power reduction on core datapath logic.
~10% CTS power reduction and ~5% total power savings.
~20–25% dynamic power reduction in packet datapath blocks.
Traditional Flow vs SilicorAI Products
| Aspect | Traditional Flow | SilicorAI Products | Customer Benefit |
|---|---|---|---|
| Optimization Scope | Within tool stages only | Across architecture → synthesis → PD | Higher PPA gains (up to 25% uplift) |
| Verification Overhead | Requires additional verification | Zero verification overhead | No changes to RTL or verification flows |
| Cell Library Efficiency | Standard foundry libraries | Leakage-aware custom libraries | 15–30% power, 30–60% leakage reduction |
| Technology Node Support | Limited to specific nodes | 65nm → 7nm, all major foundries (GF14, TSMC16, TSMC28, TSMC65) | Future-proof, scalable products |
| EDA Tool Compatibility | Vendor-specific flows | Works with Synopsys, Cadence, Siemens | No need to change existing tools |
| Design Methodology | Requires methodology changes | Design, foundry, toolchain agnostic | Seamless integration, no disruption |