Vinci4D.ai

Technology, Information and InternetPalo Alto, California, United StatesFounded 202358 employees$46M raised

Vinci4D.ai is a Palo Alto-based startup building physics simulation software for engineering workflows. The company, founded in 2023, has raised $46M in Series A funding and employs 58 people.

Employees
58
Total raised
$46M
Last: Series A
Open roles
2
-33% vs last year
Site visitors
11K
per month
Alumni founders

The growth story

Vinci4D.ai headcount and funding58 people today
58$10M$36M582023202420252026
Data by CrustdataCrustdata

Vinci4D.ai grew from 1 to 58 employees between 2023 and 2026, raising $46M along the way, most recently a Series A in December 2025.

About

Vinci4D.ai develops physics simulation software that integrates directly with engineering design and manufacturing systems. Its technology aims to make high-fidelity physics modeling more accessible and continuous, reducing the need for manual setup and specialized expertise.

The company has quickly scaled to 58 employees since its 2023 founding, backed by $46M in Series A funding from investors including Eclipse and Khosla Ventures. Its software is already being used in production engineering workflows on major projects.

Founders and leadership

Engineering is Vinci4D.ai's largest function, with 13 engineers on staff. The company has a relatively young workforce, with a median tenure of just one year, reflecting its recent founding.

The Vinci4D.ai org chart

Hardik Kabaria (Co-Founder & CEO) leads 17 mapped leaders with 5 direct reports. Click +N to expand a team; names link to the person’s public profile.

Talent flow

Vinci4D.ai recruits heavily from Carbon and Tesla, which account for 8 and 4 hires respectively. Stanford University is its top academic source, contributing 5 alumni. Former employees have gone on to roles at Hitachi Vantara and Alpine Intelligence.

Where Vinci4D.ai people come from, and where they go42 current + 8 former profiles
8 people: Carbon → Vinci4D.ai4 people: Tesla → Vinci4D.ai3 people: Stanford University → Vinci4D.ai3 people: Iron ox → Vinci4D.ai3 people: Amazon → Vinci4D.ai2 people: Bosch USA → Vinci4D.ai2 people: Nauto → Vinci4D.ai2 people: Lunera → Vinci4D.ai1 people: Vinci4D.ai → Hitachi Vantara1 people: Vinci4D.ai → Alpine Intelligence1 people: Vinci4D.ai → Sift1 people: Vinci4D.ai → Scientific ML, Simulation & Physical Modeling1 people: Vinci4D.ai → Magnit Global1 people: Vinci4D.ai → ZeromatterVinci4D.ai58 peopleCAME FROMWENT TOCarbon8 peopleTesla4 peopleStanford University3 peopleIron ox3 peopleAmazon3 peopleBosch USA2 peopleNauto2 peopleLunera2 peopleHitachi Vantara1 peopleAAlpine Intelligence1 peopleSift1 peopleSScientific ML, Simu…1 peopleMagnit Global1 peopleZeromatter1 people
Data by CrustdataCrustdata

Most common previous employers of Vinci4D.ai staff: Carbon (8), Tesla (4), Stanford University (3), Iron ox (3), Amazon (3), Bosch USA (2). Former Vinci4D.ai employees most often moved to Hitachi Vantara (1), Alpine Intelligence (1), Sift (1), Scientific ML, Simulation & Physical Modeling (1), Magnit Global (1), Zeromatter (1).

What this company is made of

Headcount by skillwhat people list on their profiles
PPython (Programming Language)
35
MMATLAB
21
CC++
21
SSQL
16
SSoftware Development
15
CC (Programming Language)
15
JJavaScript
14
JJava
14
RResearch Skills
13
MMachine Learning
13
Data by CrustdataCrustdata

Most common skills at Vinci4D.ai: Python (Programming Language) (35), MATLAB (21), C++ (21), SQL (16), Software Development (15), C (Programming Language) (15), JavaScript (14), Java (14).

Where the team actually sits

Headcount by regionHQ: Palo Alto, California, United States
CCalifornia, United States
15
SSan Francisco Bay Area
11
UUnited States
5
NNew York City Metropolitan Area
2
KKarnataka, India
1
PPennsylvania, United States
1
QQuebec, Canada
1
BBāgmatī, Nepal
1
Data by CrustdataCrustdata

Vinci4D.ai people are concentrated in California, United States (15), San Francisco Bay Area (11), United States (5), New York City Metropolitan Area (2).

Search footprint

Organic clicks
113
per month
Traffic worth
$0K
if bought as ads
Ranking keywords
43

Vinci4D.ai attracts about 113 organic search visits a month, traffic worth roughly $0K a month if bought through ads. It gained 5 ranking keywords and lost 12 in the last period.

What employees say

Compensation
1.00 / 5
Career opportunities
1.00 / 5
Senior management
1.00 / 5
Work-life balance
2.00 / 5

Frequently asked

How many employees does Vinci4D.ai have?

Vinci4D.ai has 58 employees as of September 2026.

How much has Vinci4D.ai raised?

Vinci4D.ai has raised $46M in total, most recently a Series A round in December 2025.

Who founded Vinci4D.ai?

Vinci4D.ai was founded in 2023 by Hardik Kabaria, Mustafa Hajij, Vincent Rerolle, Sarah Osentoski.

Who is the CEO of Vinci4D.ai?

Hardik Kabaria (Co-Founder & CEO) sits at the top of Vinci4D.ai's reporting structure, with 5 direct reports.

Where does Vinci4D.ai hire from?

The most common previous employers of current Vinci4D.ai staff are Carbon (8 people), Tesla (4 people), Stanford University (3 people).

Where do Vinci4D.ai employees go after leaving?

Former Vinci4D.ai employees most often move to Hitachi Vantara (1), Alpine Intelligence (1), Sift (1).

How much traffic does Vinci4D.ai get from search?

Vinci4D.ai attracts about 113 organic search visits a month, worth roughly $0K a month in equivalent ad spend.

What skills do people at Vinci4D.ai have?

The most common skills among Vinci4D.ai staff are Python (Programming Language), MATLAB, C++, SQL, Software Development.

Where is Vinci4D.ai's team located?

Vinci4D.ai staff are concentrated in California, United States (15), San Francisco Bay Area (11), United States (5).

How big is Vinci4D.ai's engineering team?

Vinci4D.ai has about 35 people in Engineering, up 169% over the past year, as of September 2026.

How big is Vinci4D.ai's business development team?

Vinci4D.ai has about 7 people in Business Development, up 75% over the past year, as of September 2026.

Computed from 42 current and 8 former Vinci4D.ai profiles, as of September 2026. Source: Crustdata.

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