Multiverse Edge · AI-Native IC Design Service Platform

Quantum AI
Design Services

AI Expert Engineers as your complete layout & verification team — eight specialized agent teams covering every stage from specification to tape-out, orchestrated by a single reasoning supervisor brain.
AI-NATIVE · AGENT-POWERED · FUTURE-DRIVEN
qads.ledcircle.com
zeno@ledcircle.com
+886-932785453

Our Mission

Empowering the semiconductor industry with Autonomous AI Engineering Teams to compress tape-out cycles and redefine PPA boundaries.

Our Vision

To become the world's standard AI-native Silicon-as-a-Service layer, lowering engineering barriers for complex SoC and ASIC deployments.

AI SoC Product Lines

QADS Edge AI Platform Family

From ultra-low-power IoT sensors to data-center-grade autonomous AI — two complete silicon platform families spanning 2nm to 28nm, designed at the frontier where the universe of intelligence meets silicon.

2nm / 3nm / 5nm 10B – 200B+ Transistors ISO 26262 ASIL-B/D PSA Level 2 / CC EAL4+ Chiplet · 2.5D / 3D
QADS Edge AI Platform
AQUARIUS FRONTIER × FUTURE IC DESIGN OFFICE · 2–5nm High-Performance AI SoC

Extreme AI performance with highest energy efficiency for autonomous vehicles, robotics, data center edge, industrial AI, medical imaging, and fleet management. Modular chiplet architecture delivers up to 1000+ TOPS NPU performance at 5W–150W configurable power envelope.

↓  Download Brochure PDF ✉  Contact QADS
Key Specifications
Technology Node2nm / 3nm / 5nm
Transistors10B ~ 200B+
CPUUp to 16× Arm Cortex-A78AE @ 3.2GHz
NPU (INT8)Up to 1000+ TOPS
NPU (INT4)Up to 250+ TOPS
Memory BWUp to 1 TB/s (LPDDR5X + HBM)
On-Chip SRAMUp to 144MB
AI SRAMUp to 128MB (Multi-Bank)
Process Voltage2nm: 0.6V–0.9V · 3nm: 0.6V–1.0V · 5nm: 0.7V–1.1V
PackageAdvanced 2.5D / 3D · Chiplet / FOWLP / FCBGA
Power5W ~ 150W (Configurable)
Temp Range-40°C ~ 125°C (Automotive Grade)
SafetyISO 26262 ASIL-B / D Ready
SecurityPSA Level 2 / Common Criteria EAL4+
SoC Architecture Highlights
CPU SUBSYSTEM
  • Arm® Cortex-A78AE Cluster
  • 4–16 Cores configurable
  • L1 I/D-Cache 64KB each
  • L2 Cache 1MB/Core
  • Shared L3 Cache up to 16MB
  • RISC-V MCU / RT Core
NPU SUBSYSTEM
  • QADS NPU™ AI Engine
  • Matrix · Vector · Tensor Engine
  • Sparse · CNN · Transformer Engine
  • INT8/INT4/FP16/FP8/FP32
  • AI SRAM Multi-Bank 128MB
  • NPU DMA & Compression
MEMORY SUBSYSTEM
  • System SRAM up to 16MB
  • LPDDR5X 8533 Mbps / 256GB
  • HBM-lite / HBM2e up to 64GB
  • eMMC / UFS 4.0 Interface
  • Flash Controller (NAND)
  • Compression Engine
SECURITY SUBSYSTEM
  • Secure Boot (RoT)
  • Hardware Root of Trust
  • PUF / eFuse / OTP
  • TrustZone® / TEE
  • AES / SHA / RSA / ECC
  • Key Management · Secure Storage
HIGH-PERFORMANCE NoC · VISION & ISP
Mesh Architecture · QoS · Virtual Channels · Low Latency · High Bandwidth  |  Multi-ISP Pipeline · Denoise/HDR/3A · LDC/EIS/DIS · AI Vision Pre-Process · H.265/H.264/AV1
I/O:  PCIe Gen5/4 · USB4/USB3.2 · MIPI CSI-2 (×8) · Ethernet 10G/2.5G/1G · CAN/CAN-FD · I2C/SPI/UART · Audio I2S/PDM · SD/eMMC/UFS · JTAG/Debug
Product Family Roadmap
EDGE-5
2–5nm High-End · Multi-Foundry
1000+ TOPS
150W+ (Configurable)
Data Center Edge · Autonomous Vehicles · Robotics
EDGE-3
3–5nm Mid-High
800 TOPS
30W – 80W (Configurable)
Smart City · Industrial AI · Advanced Vision
EDGE-2
5nm / Mature Nodes
10–200 TOPS
5W – 30W (Configurable)
IoT Entry AI · Embedded Vision
Open Ecosystem (Vendor-Neutral)
AI Frameworks

ONNX Runtime · PyTorch · TensorFlow Lite · GGUF / LLM Runtime

Memory

LPDDR5X · HBM-lite / HBM2e · UCIe Ready · eMMC / UFS

Connectivity

PCIe Gen5/Gen4 · MIPI CSI/DSI · USB4/USB3.2 · Ethernet/TSN

OS & Cloud

Linux · RTOS · Android · Yocto · REST API · MQTT · OTA Update

Reference Applications
🚗Autonomous Vehicles
🤖Robotics
🚁Drones
🏭Industrial AI
🏥Medical Imaging
🖥️Edge Server
🏙️Smart City
🛒Retail AI
🚛Fleet Management
QADS ROLE
Platform Licensing · AI IP Solutions · ASIC Design Service · Reference Design · AEaaS (AI Edge as a Service)
7nm / 12nm / 16nm / 22nm / 28nm 0.2 – 16 TOPS Ultra-Low Power Industrial Grade −40°C~+105°C
QADS AI Edge SoC Platform
AQUARIUS EDGE × FUTURE IC DESIGN OFFICE · Scalable · Modular · Power-Efficient · Secure

A scalable, modular AI Edge SoC platform family covering four product tiers — from Nano IoT sensors to Max Edge AI Box — with power envelopes from under 100mW to 5W. Built on 7nm to 28nm process nodes with Cortex-M33 / RISC-V CPU, on-chip NPU, and comprehensive security-by-design architecture.

↓  Download Engineering Reference PDF ✉  Contact QADS
Product Family & Tier Specifications
TierTarget Use CaseCPUNPU (TOPS) MemoryPowerProcess Node
Nano Sensors / IoT M0+0.2 – 0.532 – 64MB<100 mW22 / 28nm
Lite Smart Camera M330.5 – 1128MB<500 mW22 / 16nm
Pro IPC / Vision AI M33/M552 – 4256MB<1.5W12 / 16nm
Max Edge AI Box RISC-V / M78 – 16512MB+<5W7 / 12nm
* Process node figures are indicative targets for engineering planning; confirm against final foundry agreements during detailed design.
Top-Level SoC Architecture
CPU TILE
Cortex-M33 / RISC-V
I-Cache 32KB · D-Cache 32KB
FPU · DSP · MPU · NVIC · TrustZone
AI TILE (QADS-NPU)
Scalable 0.2 – 16 TOPS
Tensor Engine · MAC Array
Layer Fusion · Sparse Engine · On-chip SRAM
MEMORY TILE
LPDDR4/4X · DDR4 Controller
SRAM (System) · SRAM (Scratchpad)
Cache Hierarchy (L1/L2) · DMA Controller
VIDEO TILE
ISP Pipeline: HDR·NR·AWB·AE
MIPI CSI-2 RX (4L/4×)
Video Encoder JPEG/H.264/H.265
Frame Buffer Compression
CONNECTIVITY TILE
Wi-Fi 4/5/6 MAC
BLE 5.x · Ethernet MAC (opt.)
USB 2.0 (optional)
SECURITY TILE (ROOT OF TRUST)
Secure Boot ROM · HW Root Key
AES-256/SHA-2 · ECC/RSA Accel.
TRNG · eFuse/OTP · Secure OTA
Q-NOC / AXI FABRIC:  AXI4 Interconnect · QoS & Traffic Shaper · Arbiter/Prioritizer · Bandwidth Manager · Firewall/Isolation
Key Specifications (Summary)
CPUARM Cortex-M33 / RISC-V RV32/64
NPU0.2 ~ 16 TOPS (INT8 / INT16 / FP16)
MemoryLPDDR4/4X, DDR4, SRAM, Cache L1/L2
ConnectivityWi-Fi 4/5/6, BLE 5.x, Ethernet (opt.), USB 2.0 (opt.)
VideoMIPI CSI-2, ISP, JPEG, H.264/H.265, Compression
SecuritySecure Boot, AES-256, SHA-2, TRNG, eFuse, OTA
Process Node22nm / 16nm / 12nm / 7nm (Scalable)
PackageBGA / WLCSP / SiP (configurable)
Temperature−40°C ~ +105°C (Industrial Grade)
POWER ARCHITECTURE
• AON – Always-On Domain
• PD_COMPUTE – Compute Domain
• PD_AI – AI Domain
• PD_MM – Multimedia Domain
• PD_RF – RF Domain
Deep Sleep<150 µA (AON only)
Wake<10 mA (Sensor trigger)
AI Active50–300 mA (NPU running)
Full System1–1.5W (AI + Wi-Fi TX Peak)
Typical Data Flow — AI Camera
📷
Image Sensor
(MIPI CSI-2)
🔆
ISP
Pipeline
🧠
NPU
Inference
🎬
Video
Encoder
📡
Wi-Fi/BLE
Streaming
☁️
Cloud/
Edge Server
SOFTWARE PLATFORM STACK
Application Layer (Customer App / AI App)
AI SDK (QADS AI Runtime) / TFLite / ONNX Runtime / Media Framework
FreeRTOS / Linux / RTOS Kernel
HAL / Driver Layer (BSP) · QADS Silicon Platform
Development & Tools / Engagement
DEVELOPMENT TOOLS
AI Model Compiler & Quantization Toolchain · Debugger/Profiler/Trace
SDK / API / Example Code · Simulation (QEMU)
FPGA Prototyping & Emulation
ENGAGEMENT & DELIVERY MODELS
IP Licensing
License platform IP; customer team takes derivative to tape-out.
Hybrid (IP + Design Service)
QADS provides IP and design services to customize and tape-out the derivative.
Alliance-Built Integration
Integrate partner or licensed IP blocks to accelerate customized derivatives.
APPLICATION EXAMPLES
📷Smart Camera
🏭Industrial IPC
📊Retail Analytics
🌐Edge AI Gateway
Wearable Device
Orchestration Layer

QADS AI Supervisor Brain

A unified orchestration layer that dynamically plans, executes, and validates cross-domain workflows across all expert agent clusters.

ORCHESTRATEREASONLEARNADAPTOPTIMIZEEVOLVE
FN.01
Task Decomposition
FN.02
Multi-Agent Handshakes
FN.03
RAG Knowledge Feed
FN.04
Cross-Stage Context Memory
FN.05
Self-Correction Loops
FN.06
PPA Risk Mitigation
FN.07
Tool Script Translation
FN.08
Final Verification Sign-off
AI Software Product Line

AI Vision Technology Suite

Modeling · Model Optimization · Model Minimization · Software Hardening — the full-stack software technology layer that carries vision AI from trained model to hardened, production-grade inference on Edge AI & embedded vision systems.

Detection · Classification · OCR · Segmentation INT8 / INT4 Quantization TinyML · Compression · Distillation Secure Runtime · Encryption · OTA
AI Vision Technology Suite
FUTURE IC DESIGN OFFICE × QADS · End-to-End Vision AI Software Pipeline

A complete four-stage software pipeline — Modeling, Optimization, Minimization, and Hardening — engineered to bring high-accuracy vision intelligence to the smallest, most power- and memory-constrained embedded and edge devices, and to keep it secure once deployed in the field.

✉  Contact QADS
Core Technologies
🧩
AI Modeling
  • Object Detection
  • Classification
  • OCR
  • Segmentation
⚙️
Model Optimization
  • INT8 / INT4 Quantization
  • Pruning
  • Layer / Op Fusion
📉
Model Minimization
  • TinyML
  • Compression
  • Knowledge Distillation
🔒
Software Hardening
  • Secure Runtime
  • Encryption
  • OTA Update
📷Smart Camera
🏭Industrial Vision
🛰️Edge AI Devices
🚗Embedded ADAS
Wearable / IoT
Demo Videos
AI Image Recognition
AI Image Recognition
AI Vision Inference
AI Vision Inference
Edge AI Short 1
Edge AI Short 1
AI Vision Showcase
AI Vision Showcase
Interactive Pipeline

AI-Powered IC Design Flow

Click "Run Agent Analysis" on each stage below to preview how our autonomous agent engines parse parameters, write code, and optimize architectures live.

Outcomes

Business Value Metrics

Engagement

Delivery Models

Flexible operational frameworks engineered to match your team structure.

Boundaries

Clients, Inputs & Outputs

Foundation

Semiconductor Knowledge Core

Every agent queries a shared, synchronized knowledge platform to preserve industry standards and lessons learned.

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