QFoundry - AI-Native Silicon Design Automation
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COMPUTATIONAL DEEP TECHAI-Native Hardware Design Automation

QFOUNDRY
Specification to Silicon in Minutes

A vertically integrated, AI-native hardware design automation platform with embedded QCortex intelligence layer. Transforms high-level specifications into production-ready ASIC tape-outs, FPGA bitstreams, and quantum control electronics from a single declarative spec.

3
Output Targets
6
Architecture Layers
1,000+
Iterations/Night

Single Spec → Triple Output

ASIC Tape-Out (GDSII) - production silicon
FPGA Bitstream - rapid prototyping & deployment
Quantum Control Electronics - multi-modality
QCortex Intelligence - AI at every design stage
→ 130nm prototyping to advanced nodes
Minutes
Spec to RTL Generation
3-5x
Circuit Depth Reduction
130nm+
Process Node Range
Dual
ASIC + FPGA Output
The Problem

Hardware Design Is Fundamentally Broken

Traditional EDA workflows bolt AI onto legacy tool chains. QFoundry is built from the ground up with intelligence at every layer.

The Fragmentation Crisis

Chip design takes 12-24 months from specification to tape-out. Separate teams, tools, and processes are required for ASIC vs. FPGA vs. quantum - massive duplication and fragmentation at every stage.

Custom ASIC development costs $5M-$20M, putting cutting-edge silicon out of reach for most companies. Engineers spend 80% of their time on verification plumbing, not innovation.

The Edge AI Imperative

As AI moves to the edge, demand for custom silicon is exploding. But the tools have not evolved - the EDA industry still runs on 30-year-old paradigms. QFoundry closes this gap.

12-24 Month Design CyclesSpec to tape-out measured in years, not weeks
💰
$5M-$20M ASIC Cost BarrierCustom silicon prohibitively expensive for most firms
🔧
80% Verification OverheadEngineers spend most time on plumbing, not design
🔀
Tool FragmentationSeparate flows for ASIC, FPGA, quantum - no unified platform
Futuristic CPU processor with cyan LED lighting on circuit board
Platform Architecture

Five Design Layers + QCortex Intelligence Spine

Each layer has well-defined interfaces. QCortex agents operate at every stage with appropriate autonomy levels.

Layer 1 - Specification

Specification & Configuration

YAML/JSON declarative specs with Pydantic validation. AI-assisted detection of conflicting parameters. Design space preview via rapid exploration before committing.

Layer 2 - Generation

Hardware Generation

RTL generation using Chisel, SpinalHDL, or Amaranth via fine-tuned code LLM. Leverages Rocket Chip, BOOM, VexRiscv, CVA6 open-source cores. Autoresearch-style rapid iteration.

Layer 3 - Verification

Verification & Simulation

Auto-generated testbenches, coverage-directed fuzzing via RLM, formal property inference. Verilator + cocotb + SymbiYosys. LLM-based corner case identification.

Layer 4 - Physical

Physical Implementation

ASIC path: Yosys + OpenROAD with RLM placement/routing. FPGA path: Vivado/Quartus/nextpnr. Surrogate models predict timing closure before expensive PnR runs.

Layer 5 - Manufacturing

Tape-Out & Manufacturing

DRC/LVS verification, yield prediction, DFT insertion. Integration with ChipIgnite and Tiny Tapeout for affordable prototyping ($50-$15K per MPW run). Silicon manifest output for seamless handoff to QFabric and sister entities.

Abstract purple and blue circuit board pattern with glowing nodes
Intelligence Layer

QCortex - Three Operating Modes

Not one monolithic AI, but a coordinated hierarchy of domain-expert agents with appropriate autonomy at each layer.

Operating Modes

Mode 1: Rapid Exploration

Autoresearch-inspired. 500-1,000+ iterations overnight. Multi-objective Pareto optimization (power, performance, area, timing). Surrogate models for PPA estimation in seconds.

Mode 2: Deep Verification

Human-in-the-loop. AI-directed test generation, coverage-directed fuzzing, anomaly detection on waveforms. Full audit trail for every recommendation. Pre-tape-out risk scoring.

Mode 3: Continuous Learning

Every design feeds back into models. Synthesis patterns, timing closure predictors, DRC violation patterns, yield correlation. This is QFoundry's primary competitive moat.

Domain-Specific Model Stack

  • Frontier LLM (Claude/GPT-class) - design orchestration
  • Fine-tuned Code LLM - RTL generation from HDL corpora
  • Reinforcement Learning Models - placement, routing, synthesis tuning
  • Predictive Surrogate Models - fast PPA estimation
  • Anomaly Detection - flags deviations from known-good patterns
  • Domain Classification - DRC prediction, yield estimation
Iridescent semiconductor wafer macro with rainbow colors
Agent System

Six-Agent Architecture

Specialized agents with well-defined responsibilities and structured inter-agent communication.

Planner Agent

Interprets spec, proposes architecture choices

Generator Agent

Writes RTL, Makefile, cocotb harnesses

Verifier Agent

Runs tests, analyzes waveforms, reports coverage

PnR Agent

Controls synthesis/place-route, interprets logs

Learner Agent

Updates models from each design run

QA/Audit Agent

Sign-off checks, reproducibility verification

Digital circuit board with code overlay in blue and orange tones
Product Line

QFoundry Product Ecosystem

Tiered offerings from student exploration to enterprise tape-out.

QFoundry Playground

Free tier for students/hobbyists. Limited iterations, community support.

QFoundry Pro

$5K/seat/year. Full exploration, FPGA bitstreams, priority support.

QFoundry Enterprise

Custom pricing. On-prem option, ASIC tape-out pipeline, dedicated success team.

QFoundry Quantum

Premium add-on for quantum control electronics targeting superconducting/photonic/trapped-ion platforms.

QFabric Integration

Seamless handoff to QFabric for physical semiconductor manufacturing.

Training & Certification

QFoundry Academy for team upskilling, certification programs.

Clean 3D render of CPU chip on blue circuit board with golden traces
Technology

Technology Stack

HDL & IP Cores

  • Chisel / SpinalHDL / Amaranth for generator backends
  • Rocket Chip, BOOM, VexRiscv, CVA6 open-source cores
  • Custom IP generator templates for DSP, memory controllers, peripherals

EDA & Verification

  • Verilator for fast simulation
  • cocotb + pytest for testbench automation
  • SymbiYosys for formal verification
  • Yosys + OpenROAD for open-source ASIC flow
  • Vivado / Quartus / nextpnr for FPGA
Dark moody 3D render of processor chip with golden circuit traces
Manufacturing

Process Node Ladder

Progressive path from affordable prototyping to advanced node production.

130nm

ChipIgnite / Tiny Tapeout - $50-$15K prototyping

65nm

SkyWater / GlobalFoundries - moderate volume

28nm

TSMC via partners - higher performance

7nm+

Enterprise customers via foundry relationships

Green abstract digital wave visualization with flowing data points
Revenue

Business Model

SaaS Subscriptions

Tiered platform access from free playground to enterprise. Recurring ARR with land-and-expand.

Tape-Out Services

Revenue share on successful tape-outs facilitated through QFoundry pipeline.

Training & Support

Professional services, custom integration, QFoundry Academy certifications.