Intuition Machines

Business Services · California, United States · 51-200 Employees

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Overview

Headquarters

350 Alabama St Apt 10, San Francisco, Ca...

Revenue

<$5 Million

Industry

Business Services Software Testing Research & Development
ZI Rank: 1
Signal Type
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ZI Rank
2
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1
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About Intuition Machines

Intuition Machines has decades of software and ML expertise. The company builds and operate massively scalable systems to tackle some of today's hardest problems. The company come from companies like Apple, Google, and Amazon, institutions like Stanford and MIT, and have helped build some of the most widely used products in the world. CEO. Recognized leader in AI. Has applied machine intelligence at scale to a wide variety of business problems over the past decades. PhD in Computational Biology, Stanford. Working with neural networks since 1999. Focus on applied ML and deep learning at scale. Machine learning and computer vision at Apple and Anthropics. PhD in signal/image processing, University of Edinburgh. M.Eng, Cambridge.Explore more
Intuition Machines's Social MediaPopular SearchesINTUITION MACHINES IncIntuition MachinesIntuitionmachineMachinesSIC Code 73,737NAICS Code 54,541Show more

Intuition Machines Org Chart

EK
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Chief Executive Officer

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Director, Machine Learning (Reporting To The ...

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SW
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Executive Vice President & General Manager, E...

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Company Name

Revenue

Number of Employees

Type

Funding

Founded In

Top Executive

Intuition Machines

<$5M
51-200
Private
-
2017
$16.4M
201-500
Private
-
2014
$10M
11-50
Private
-
2009
SW
Sohail WahidChief Financial Officer
$5.9M
11-50
Private
-
2009
CC
Chandana ChekuriQuality Analyst
<$5M
11-50
Private
$15.4M
2008
<$5M
11-50
Private
-
1997
N/A
<$5M
51-200
Private
-
2020
DD
Deepthi DingariPresident & Co-Founder
Illustration of an envelope

Company Profile Activity

i

Among all Business Services companies

Low Activity

High Activity

Activity Insights

Intuition Machines is experiencing very low activity levels compared to other companies in the Business Services sector.

What does this means?

Intuition Machines is drawing exceptional interest within the Business Services industry, suggesting notable developments or strong market momentum, learn more about Intuition Machines.

Intuition Machines Tech Stack

Most Recent Scoops

Open Position
Hiring Plans
Intuition Machines has more open roles in Engineering & Technical than it has had at any time in the past 12 months. Technologies mentioned include: SQL, Kubernetes, NoSQL, Rust, C++, Apache Kafka, and React . Areas of expertise include: Statistics, Matrix Calculus, Engineering Research, Loss Functions, ML/I, Memory Systems, and Code Review.
Hiring Plans
Hiring Plans
Intuition Machines has more open roles in Sales than it has had at any time in the past 12 months.
Hiring Plans
Hiring Plans
Intuition Machines has more open roles in Sales than it has had at any time in the past 9 months.
Hiring Plans
Hiring Plans
Hiring Plans
See more scoops

Top Business Services Companies

Frequently Asked Questions Regarding Intuition Machines

What is Intuition Machines's official website?
Intuition Machines's official website is www.imachines.com
What is Intuition Machines's Revenue?
Intuition Machines's revenue is <$5 Million
What is Intuition Machines's SIC code?
Intuition Machines's SIC: 73,737
What is Intuition Machines's NAICS code?
Intuition Machines's NAICS: 54,541
How many employees does Intuition Machines have?
Intuition Machines has 51-200 employees
What industry does Intuition Machines belong to?
Intuition Machines is in the industry of: Business Services, Software Testing, Research & Development
What is Intuition Machines competition?
Intuition Machines top competitors include: Skymind, IPSG Systems, Apurba Technologies, Lucata
What technology does Intuition Machines use?
Some of the popular technologies that Intuition Machines uses are: Cloudflare CDN, Apache Kafka, TensorFlow, Python
What does Intuition Machines do?

Intuition Machines has decades of software and ML expertise. The company builds and operate massively scalable systems to tackle some of today's hardest problems. The company come from companies like Apple, Google, and Amazon, institutions like Stanford and MIT, and have helped build some of the most widely used products in the world. CEO. Recogniz... ed leader in AI. Has applied machine intelligence at scale to a wide variety of business problems over the past decades. PhD in Computational Biology, Stanford. Working with neural networks since 1999. Focus on applied ML and deep learning at scale. Machine learning and computer vision at Apple and Anthropics. PhD in signal/image processing, University of Edinburgh. M.Eng, Cambridge.Read More

What are Intuition Machines social media links?
Intuition Machines Linkedin page
Is Intuition Machines a public company?
Intuition Machines is private company therefore does not currently have an official ticker symbol
See more information about Intuition Machines

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