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Vinci4D.AI

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Physics-driven AI for hardware design and simulation

Menlo Park, United StatesFounded 2023AI
Valuation $100–500M Latest valuation · 2025
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Vinci4D.AI and the history behind them.

About Vinci4D.AI

Vinci4D.AI provides a physics-driven AI system for hardware design, enabling engineers to run thousands of verified simulations rapidly. The company was founded in 2023 by Hardik Kabaria, who serves as CEO, and Sarah Osentoski, the CTO. Kabaria has over 15 years of experience in accelerating software simulations for product design and his doctoral work at Stanford focused on automating high-fidelity meshing. Osentoski is a specialist in large-scale machine learning and autonomous systems.

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The company emerged from stealth in December 2025, announcing a total of $46 million in funding, including a Series A round led by Xora Innovation and a seed round led by Eclipse. Vinci's platform is designed to accelerate hardware design and simulation by delivering 1,000x faster simulations compared to traditional methods. Its agentic system combines physics methods with an AI model, eliminating the need for meshing and guaranteeing accuracy without hallucinations. The software is production-ready and does not require training on customer data, operating securely behind client firewalls.

Vinci primarily serves the semiconductor industry, with its system already validated by more than half of the world's top 20 semiconductor companies and deployed at three leading manufacturers. The technology is capable of ingesting industry-standard layout files (like OASIS/GDS) and resolving features at the nanometer scale. The business model is focused on providing its simulation software to engineering teams to accelerate design decisions and improve product reliability, particularly for applications like electronics thermal management. The company is headquartered in Palo Alto, California.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2023
Headquarters
Menlo Park, United States
Employees
30
Open positions
None listed
Dealroom signal
57.4/100
Industry
Enterprise Software
Sector
AI, Core AI, Spinout, Design, Simulation Tech, Novel AI, AI Applications, DT and LS, science-based
Technology
Artificial Intelligence, Deep Tech, Machine Learning
Business model
SaaS
Client focus
b2b

Latest news

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Funding history

3 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AEquity / VC Dec 2025 $36M $144M Khosla Ventures · Eclipse Ventures · Xora Innovation
SEEDEquity / VC Nov 2023 $500K $2M K5 Global
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Growth signals

Vinci4D.AI website traffic

Latest recorded traffic for Vinci4D.AI is 11K monthly website visits, up 44.7% over the last three months. Vinci4D.AI's team grew 42.9% over the past year.

Latest monthly visits11K 3-month web change+44.7% 1-year team growth+42.9%
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Similar companies

Closest operating peers by Dealroom taxonomy

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Investors

5 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed1 investor entered at this stage

Series A3 investors entered at this stage

Other known investors1 additional known investor

  • Stanford University
Team profiled 3 named & role-tagged
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Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇺🇸 United States · Menlo Park HQ
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Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Vinci4D.AI on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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