CaaS (Chip as a Service) Chip Platform

AI-Native Next-Gen Chip Design & Collaboration

A CaaS chip platform combining an AI design engine with full-flow visual collaboration. From personal ideas to enterprise-grade chips, we deliver AI design, team collaboration, agile fabrication, and private deployment — all in one.

10x

Design Efficiency

80%

Verification Speedup

funcFlowRTL → GDSdemo-soc

Design FlowRun Full Flow

RTL DesignfuncRTL

1module demo_top

2 import demo_pkg::*;

3 input logic clk_sys_i,

4 input logic [31:0] cpu_wdata_i,

5always_ff @(posedge clk_sys_i)

RTL Code

Synthesizable SystemVerilog

lint clean · structure checks pass

VerificationfuncDV

Queued

Waveforms

Code coverage 99.3%

Functional 99.0% · CSR pass

SynthesisfuncSynth

Queued

Netlist

16.5k cells · 0.24mm²

WNS 0 · timing closed

Place & RoutefuncPnR

Queued

Place & Route

Route DRC 0 · antenna 0

Utilization 49% · 167k vias

Sign-offfuncSignoff

Queued

Signed-off GDS

DRC 0 · LVS match

9-corner STA clean

Agile FabMPW

Queued

MPW Wafer

SMIC 130nm mixed-signal

Closes 2026-09-30

Slots 7/12 · pooling

EDA services online · 5 enginesGDS layout generated

AI-Driven Design

Full-flow AI automation from natural language to GDS

Full-Flow Visualization

Intuitive display and interaction at every design stage

Real-Time Collaboration

Global teams working as if in the same design room

Agile Fabrication

Low-barrier shuttle runs turning every idea into real silicon

About Us

Smarter Chip Design, Simpler Innovation

xfunc is an AI-native chip design platform, fusing frontier AI with deep engineering expertise to build a collaborative platform that connects people, AI, and design data.

Chip design becomes as flexible, efficient, and on-demand as using a cloud service.

Industry Evolution

Traditional EDA

Tool Automation

AI-Assisted Design

Point Acceleration

AI-Native Platform

AI × Visualization × Collaboration × CaaS

Traditional EDA

Tool Automation

AI-Assisted Design

Point Acceleration

AI-Native Platform

AI × Visualization × Collaboration × CaaS

Contest

MLCAD 2026 Contest Champion

Algorithm Discovery for Timing Optimization

At the ACM/IEEE MLCAD 2026 international contest, the xfunc team took first place, competing against top university and industry teams worldwide.

Behind the win is the team's long-term investment in algorithms and engineering — strengths built into the xfunc AI Design Engine, delivering measurable timing and PPA gains.

Products

From Intent to Real Silicon

Design, verification, collaboration and tape-out, interlocked on one platform.

AI Design Engine

Start from intent, run the full flow

Describe your chip in natural language — AI agents relay through spec parsing, RTL generation, verification and physical implementation.

Intent as the entry point — Start from what you want, not a blank editor
End-to-end automation — Five engines relay from RTL all the way to signoff
You stay in control — Step in, roll back or re-run at any stage

10xDesign efficiency

80%Less verification time

Live product UI

Ask xfunc aiFull flowRTL genVerifyP&R

Visualization Platform

See every artifact, at every step

Code, waveforms, netlists and layout share one view, with signoff metrics live — design quality is no longer a black box.

Every stage visualized — Waveforms, coverage, timing paths and 2D/3D layout
Side-by-side versions — Compare runs and see PPA trade-offs at a glance
Live signoff results — DRC, LVS and timing metrics as they happen

99.3%Functional coverage

0Routing DRC violations

GDSLive product UI

DRC 0 · LVS cleanSign-off metrics at a glance

Collaboration Workspace

Your team and its knowledge, in one place

Reviews and discussions happen right on the design, and project experience becomes reusable knowledge assets.

Review in context — Comment directly on code, waveforms and layout
Knowledge that compounds — Design patterns and fixes are captured for reuse
Enterprise-grade control — Fine-grained permissions, full audit, sandboxed external sharing

fifo_ctrl.svIn reviewLW+3

1module fifo_ctrl #(parameter DEPTH = 16) (

2 input logic clk, rst_n,

3 input logic req_valid,

4 output logic req_ready1

5);

Li · Verification

Suggest a timeout guard on the handshake — the knowledge base has similar cases.

Wang · Design

Fixed — added a timeout counter and assertion.Resolved

From the knowledge base

Async FIFO clock-domain-crossing checklist

Handshake timeout guard pattern

Agile Tape-out

From signed-off GDS to sample delivery

Signed-off GDS moves into tape-out after data preparation and final checks. The platform handles process alignment and shuttle scheduling — MPW pooling or your existing foundry channels — with manufacturing progress tracked throughout.

1Data preparation2Process alignment3Manufacturing tracking4Sample delivery

MPW Multi-Project Wafer

ReservedAvailable

Current shuttle

130nm mixed-signal shuttle

Deadline: September 30, 2026

Seats 7/12 · pooling

Technology

AI-Native Chip Design Platform Architecture

Access

Web / API / Integrations — unified entry for natural language & design inputs

Platform Services

Visualization Rendering Engine

Collaboration Services

Intelligence Engine

Requirement Understanding — NLU + Chip Knowledge Graph

Six AI Agents Collaborative Design System

Requirement Parsing

Architecture Design

Implementation

Iterative Optimization

Fab Adaptation

Verification

Foundation

Model Foundation

Domain-specific LLMs

Knowledge Foundation

Enterprise knowledge base — knowledge as assets

Compute Foundation

High-performance compute clusters

Platform Services · High-Performance Rendering & Collaboration

Smooth visualization of massive layout and waveform data, with millisecond real-time sync

Intelligence Engine · Built by a Champion Team

Six AI agents across the full flow, built by the MLCAD 2026 champion team, with measurable timing and PPA gains

Foundation · Dedicated Models & Compute

Domain-specific LLMs, enterprise knowledge assets, and high-performance compute powering the AI-native flow

Solutions

Design Workflows for Every Need

For Innovators & Small Teams

CaaS Express

TargetChip enthusiasts, university students, startups, independent developers

NeedA low-barrier path from idea to real silicon

xfunc

AI-native design + agile fabrication, delivered as an end-to-end CaaS service

AI-generated complete designs

Cost-sharing MPW shuttles

Visual tracking to real silicon

Free Community tier

Learn About Agile Fab

For Enterprises & Professional Teams

Enterprise CaaS

TargetMature chip design companies, system vendors, large R&D centers

NeedBoost design efficiency, strengthen collaboration, ensure data security

xfunc

Private deployment + enterprise collaboration platform + custom AI model training

Private / hybrid cloud deployment

Enterprise real-time collaboration

Custom AI model training

Seamless EDA integration

Learn About Enterprise Plans

Advantages

Why Choose xfunc

Dimension	Traditional EDA	xfunc
Learning Curve	Months, tool by tool	Days, one unified UI
Collaboration	File exchange, async	Real-time co-design
Data Continuity	Lossy format conversion	End-to-end data linkage
Access	Workstation-bound	Any device, in browser
Intelligence	Manual decisions	AI-assisted decisions

Design Transparency

Every AI decision is traceable and explainable

Human-Led

Engineers steer direction, AI handles repetitive work

Knowledge Growth

Every project enhances both team and AI capabilities

Ecosystem-Friendly

Compatible with existing design flows, not a disruptive replacement

"xfunc not only lets us accelerate design with AI, but more importantly, enables the entire team to collaborate on one platform. We used to switch between 5 different tools — now everything is in one interface."

Design Director, AI Chip Company

"As a startup, we need both AI design capabilities and visualization tools to understand design details. xfunc perfectly combines both."

Founder, IoT Chip Startup

Security

Enterprise-Grade Data Protection

End-to-End Encryption

AES-256 encryption throughout, customer holds the keys

Physical Isolation

Complete data isolation between customers, independent storage

No Data Training

Customer design data is never used to train public AI models

Customer Owns All IP

100% of all generated IP belongs to the customer

Granular Access Control

Precise permission management by project, role, and time

Complete Audit Logs

Full records of all design operations and access

Deployment Options

CaaS Cloud

Quick onboarding, pay-as-you-go, continuous updates

Private Deployment

Deploy to your own data center, full autonomous control

Hybrid Cloud

Sensitive data on-premise, compute resources scale in the cloud

Start Your AI-Native Chip Design Journey

Get in touch for a product demo, trial access, or partnership.

Email Us contact@xfunc.ai

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