The Intelligence Layer for Modern Silicon.

Stop stitching tools. Start taping out. The unified platform for AI-accelerated design, simulation, and verification, grounded in formal rigor, not just probability.

The X in ChipCraftX is what you're solving for. Give it a spec. It solves for X.

Unified Infrastructure
Formal Rigor
On-Prem Ready

Try It Out

XMIT::0x4EAEarly Access

Design, simulate, and verify silicon with ChipCraftSim.

→ Read the Paper
verify_module.sv
// ChipCraftX Verification Log
module axi_stream_fifo #(
parameter DATA_WIDTH = 32,
parameter DEPTH = 16
) (
input logic clk,
input logic rst_n,
...
Running Formal Verification...
✓ Property check_overflow passed
✓ Property check_underflow passed
→ Optimization: Combined logic reduces area by 4.2%
ChipCraftBrain

The AI that gets better the more it runs.

Every other system generates the same quality on its 1,000th problem as its 1st.ChipCraftBrain gets measurably better.

Every other system

One approach. Applied to every problem. Problem #1,000 gets the same strategy as Problem #1.

ChipCraftBrain

Adapts to each problem. Learns what works. Improves with every run. The gap between it and everything else widens over time.

Gets Smarter Every Run

Doesn't apply the same strategy to every problem. Learns from experience which approaches produce better results for different design types, improving measurably over time.

Continual improvement · no ceiling

Right Approach for Every Problem

A static pipeline treats every design challenge identically. ChipCraftBrain matches its approach to the nature of the problem, allocating more capability where the design demands it, less where it doesn't.

Adaptive · not fixed

Checks Its Own Work

Every output is verified before it reaches you. If something doesn't pass, ChipCraftBrain doesn't discard the attempt. It uses what went wrong to drive a better result.

1.14 avg iterations · 100% synthesis pass

Builds Institutional Knowledge

Unlike every competing system, knowledge accumulated across problems improves future performance. The more design problems it solves, the better it gets at the ones you care about.

Growing knowledge base · every run counts
Implementation Results

Results Timeline

Implementation milestones and measurable outcomes from our private releases.

2026-03-03

CVDP: 54.24% pass rate improvement over SOTA baseline while requiring only 1.28 iterations on average

The previous SOTA relied on fine-tuned models, massive compute budgets, and hundreds of retries. ChipCraftBrain solves the same problems in 1.28 iterations on average — lifting the pass rate by 54.24 percentage points through a fundamentally different approach.

Highlights

  • •94.7% on NVIDIA CVDP (302 problems) — the hardest public RTL benchmark
  • •Wins 3/4 shared categories vs ACE-RTL: Code Completion +12.75pp, Modification +5.49pp, Spec-to-RTL tied
  • •5 iterations vs 150 attempts — 30× more efficient
  • •GPT-5 peaked at 60%. Their fine-tuned generator: 67%. ChipCraftBrain: 94.7%.

Metrics

  • •94.7% overall — #1 published result on CVDP
  • •96.4% Code Modification, 96.2% Spec-to-RTL, 93.6% Code Completion
  • •97.5% RTL Optimization — a category ACE-RTL didn't even attempt
  • •Zero fine-tuning, zero custom training data — pure architectural advantage
→ Read the Report
2026-02-17

VerilogEval 98.7%, #1 on the Benchmark

ChipCraftBrain achieves 98.72% pass rate on the full 156-problem VerilogEval functional benchmark, surpassing every published and commercial system, including MAGE (95.9%), ChipAgents (97.4%, closed-source), VFlow (83.6%), and CodeV (59.2%).

Highlights

  • •154 of 156 problems passed via real testbench simulation
  • •Beats MAGE (95.9%), the best published academic result
  • •Beats ChipAgents (97.4%), the only commercial competitor, with unpublished methodology
  • •Average 1.14 iterations per problem, near first-try accuracy
  • •Full benchmark completed in 35.5 minutes

Metrics

  • •98.72% pass rate on VerilogEval (156 problems)
  • •1.14 average iterations to solution
  • •154/156 simulation pass rate (98.72%)
  • •2.72 percentage points above ChipAgents (97.4%)
  • •2.82 percentage points above MAGE (95.9%)
→ Read the Report
NVIDIA CVDP Benchmark

302 Problems. 17 Systems. One Winner.

The Comprehensive Verilog Design Problems benchmark is the hardest public RTL evaluation — designed by NVIDIA, spanning code completion, spec-to-RTL, modification, and debugging. ChipCraftBrain leads on 3 of 4 shared categories against NVIDIA's own ACE-RTL, using 30× fewer generation attempts.

ChipCraftX5 iterations · single process · Claude Opus 4.6
ACE-RTL150 attempts (5×30) · fine-tuned 32B model · Claude4-Sonnet
TypeModel
cid002
Code Completion
cid003
Spec-to-RTL
cid004
Code Modification
cid016
Code Debugging
APRAPRAPRAPR
Ours
ChipCraftX#1
Iterative@5 · single process · zero fine-tuning
93.6096.2096.4088.60
ACE-RTL
ACE-RTL (5×parallel, 30 iter)
—80.85—96.15—90.91—91.43
ACE-RTL (Claude4 generator)
—80.85—89.74—81.82—88.57
ACE-RTL-Generator
39.5740.4349.7452.5665.0967.2756.0057.14
Proprietary
GPT-5
36.1739.3642.3147.4443.6445.4554.2860.00
Claude4-Sonnet
37.9439.3649.4951.2842.9149.0951.4354.29
o4-mini
35.1037.2341.5645.4541.4844.4450.0058.82
Open-source
DeepSeek-R1
34.8939.3639.2342.3137.4543.6448.5751.43
DeepSeek-v3.1
32.3437.2341.7948.7236.7341.8234.8640.00
Qwen3-Coder-480B
30.4331.9133.3335.9035.2741.8239.4342.86
Llama4-Maverick
26.8128.7229.4932.0536.3638.1836.0037.14
Kimi-K2
23.4025.5326.6729.4929.0932.7329.7131.43
RTL-specialized
ScaleRTL†-32B
—29.79—35.90—32.73—40.00
ScaleRTL-32B
25.3227.6628.9733.3325.8230.9130.8637.14
OriGen-7B
18.3021.2818.9721.7914.1816.366.8611.43
CraftRTL-15B
8.0911.7012.3117.9513.4516.365.148.57
CodeV-7B
3.836.385.387.690.000.000.000.00
RTLCoder-v1.1-7B
0.431.063.335.131.091.820.572.86
Code Completion
93.6%vs 80.85%
+12.75pp
Spec-to-RTL
96.2%vs 96.15%
Tied
Code Modification
96.4%vs 90.91%
+5.49pp
Code Debugging
88.6%vs 91.43%
-2.83pp

NVIDIA's ACE-RTL used a custom fine-tuned 32B model trained on 1.7 million RTL samples, with Claude4-Sonnet as reflector, running 5 parallel processes × 30 iterations each. ChipCraftBrain matches or beats it with 5 iterations, single process, zero fine-tuning. That's not brute force — that's architectural intelligence.

Baseline scores from ACE-RTL (arXiv:2602.10218), NVIDIA, Feb 2026. All scores are APR (Agentic Pass Rate = unique problems solved / total). CVDP-v1.0.2, evaluated with Icarus Verilog + cocotb.

Benchmark Comparison

The Numbers Don't Lie.

ChipCraftBrain is #1 on VerilogEval. Here's how the entire field compares, and why the architecture gap is wider than any score difference suggests.

SystemVerilogEval Pass RateLicenseCost
ChipCraftBrain#1
Production-grade, validation-first. #1 on VerilogEval
98.72%
Proprietary
Free tier
ChipAgents
97.4%
Commercial
Closed / Cloud-only
MAGE
95.9%
Academic
Research-only
VFlow
83.6%
Academic
Research-only
CodeV
59.2%
Academic
Research-only
GPT-4 (single-shot)
62%
API / Cloud
Usage-based

Accessible vs. Legacy EDA

Cadence and Synopsys EDA tool suites can exceed $100K–$500K+ / year per engineering seat.ChipCraftX delivers production-grade RTL generation without the enterprise price tag.

$100K–$500K+
Legacy EDA / yr
→
Free tier
ChipCraftX

And this is just the beginning. More benchmarks to conquer, and more ways for anyone to generate production-grade silicon with a single request.

How It Works

One Request. The Right Model. Verified Output.

ChipCraftBrain orchestrates the suite automatically. You don't pick the model, it does.

Orchestration

ChipCraftBrain

Analyzes your request, selects the right approach, validates the result

Every request starts here. ChipCraftBrain determines what your design needs, routes to the right model, and verifies the output before returning it to you.

RTL Generation

ChipCraftForge

Spec-to-silicon generation: natural language to synthesis-ready RTL

Translates hardware requirements into production-grade Verilog and SystemVerilog. Handles combinational logic, FSMs, pipelines, and interfaces. Output passes simulation before delivery.

Architecture

ChipCraftBlueprint

System-level design intelligence: tradeoffs, risks, and rationale

Reasons about architecture before a line of RTL is written. Surfaces performance, power, and area tradeoffs early, when they're cheap to fix.

Advanced Reasoning

ChipCraftApex

Deep reasoning for the hardest design problems

Built for novel architectures, cross-domain constraints, and decisions that require deep technical judgment. The most capable model in the lineup.

The ChipCraftX Suite

Three specialized models. One unified platform. Every stage of silicon design covered.

ChipCraftForge

Spec-to-silicon generation

Turns hardware requirements, whether written in plain language or structured constraints, into production-grade RTL that compiles, simulates, and synthesizes.

  • Accepts natural language specs, structured constraints, or block diagrams
  • Outputs synthesis-ready Verilog and SystemVerilog
  • Passes simulation before delivery, not after
  • Handles combinational logic, FSMs, pipelines, and interfaces

ChipCraftBlueprint

System-level design intelligence

Reasons about architecture before a line of RTL is written. Surfaces tradeoffs, flags risks, and produces design rationale your team can stand behind.

  • Performance, power, and area tradeoff analysis
  • Block partitioning and interface contract definition
  • Risk and feasibility assessment for implementation paths
  • Design rationale documentation for reviews and handoffs

ChipCraftApex

Advanced reasoning for the hardest design problems

The most capable model in the lineup. Built for the hardest design problems: novel architectures, cross-domain constraints, and decisions that require deep technical judgment.

  • Tackles design problems that stump current tools
  • Handles complex cross-domain constraints in a single pass
  • Extended reasoning for edge-case and corner-case coverage
XMIT::0x4EAEarly Access

Try It Out

Design, simulate, and verify silicon with ChipCraftSim.

Hardware Proof

Real silicon. Real performance. Measured in FPS.

We asked ChipCraftBrain to generate hardware IP blocks for a RISC-V processor. It generated them. We deployed to FPGA. DOOM ran faster. Not in simulation. On actual silicon.

DOOM on PicoRV32 RISC-VIntel Agilex 5 FPGA · 50 MHz
3 Generated IP blocks

Before AI

~2FPS

→

After AI

~15FPS

No cache

Bare metal baseline

~2FPS

I-Cache

Generated, 2KB

Generated
~8FPS

D-Cache

Generated, 2KB

Generated
~12FPS

+ Multiply

Generated unit

Generated
~15FPS

PicoRV32 RISC-V SoC

Complete SoC running on Intel Agilex 5 FPGA. CPU, bus, memory controller, UART, GPIO, and timer. All verified on real hardware at 50 MHz.

RUNNING ON REAL SILICON

GDSII Layouts on SKY130

20+ Generated RTL designs taken through full physical implementation on the open-source SKY130 PDK. Real GDSII output with SPICE extraction.

GDSII OUTPUT CONFIRMED
The Builder

One engineer.
Decades of silicon.

Not a team of AI researchers who discovered chips last year. One engineer who spent a career inside the companies that define modern computing, designing the processors that power the world's most demanding workloads.

ChipCraftX exists because I needed it and it didn't exist. I knew exactly what the EDA industry was getting wrong and what AI could fix, not in theory, but from 20+ years of living the pain firsthand. Generic AI optimizes for “likely text.” ChipCraftX optimizes for legal logic.

"I know anything and everything about computers. That's not confidence, that's two decades of building the things that run the world, and finally building the tool that should have existed all along."

Founder & CEO, ChipCraftX LLC
20+Years in Silicon
100+Tapeouts
#1VerilogEval Worldwide

Silicon Architecture

CPUs, GPUs, SoCs, accelerators. Led architecture across the full spectrum of compute silicon: performance, power, and area tradeoffs for chips that run inside billions of devices.

AI Silicon

Designed AI hardware accelerators from first principles: microarchitecture, memory hierarchy, on-chip networks, and physical constraints.

Tape-Out at Scale

100+ tapeouts across leading process nodes. Not simulations. Real masks, real silicon, real consequences when something is wrong.

AI can write code now. Any model can generate a module, spin up an interface, produce something that looks right.

But silicon is not software. There is no hot-reload. No patch on Friday. When a chip tapes out wrong, it stays wrong for months and millions of dollars.

What separates generation from engineering is knowing why the code has to be that way. Timing closure, power budgets, physical constraints, verification corner cases. The kind of knowledge that only comes from years inside the stack.

ChipCraftX is not an LLM that learned Verilog.

It is a semiconductor engineer that learned to scale.