Insights

AI/ML Expertise Intuition Machines specializes in applying cutting-edge AI and machine learning solutions to real-world challenges, particularly in fraud prevention and abuse mitigation. This indicates a strong capability to support large enterprises seeking advanced AI driven cybersecurity and operational efficiency tools.

Market Focus With its flagship product, hCaptcha, used by top online services to protect hundreds of millions of users, the company demonstrates a significant foothold in the cybersecurity space, presenting opportunities to collaborate with other online platforms seeking to enhance user security and trust.

Growth Potential Generating between 10 to 25 million dollars in revenue with a team of under 200 employees, Intuition Machines is positioned for growth, especially as demand for AI solutions in fraud detection and online security continues to rise among large-scale organizations.

Technology Stack Utilizing modern tools like React, Vue.js, PostgreSQL, and cloud services, the company showcases a robust technological foundation, opening doors for partnerships with tech vendors and enterprises seeking scalable, innovative AI/ML integrations.

Untapped Opportunities The company's focus on research-driven AI products suggests potential for expanding into diverse verticals or integrating AI solutions across industries, offering a wide array of prospects for enterprise modernization and digital transformation projects.

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Intuition Machines Tech Stack

Intuition Machines uses 8 technology products and services including Google Ads, Jenkins, PostgreSQL, and more. Explore Intuition Machines's tech stack below.

Google Ads
Advertising
Jenkins
Continuous Integration
PostgreSQL
Database
Vue.js
Javascript Frameworks
React
Javascript Frameworks
LinkedIn
Online Community Software
Lua
Programming Languages
LinkedIn Sales Navigator
Sales Enablement

Media & News

Intuition Machines's Email Address Formats

Intuition Machines uses at least 2 format(s):

Intuition Machines Email Formats	Example	Percentage
First@intuitionmachines.com	John@intuitionmachines.com	90%
First.Last@intuitionmachines.com	John.Doe@intuitionmachines.com	10%
First@imachines.com	John@imachines.com	64%
First.Last@imachines.com	John.Doe@imachines.com	27%
FLast@imachines.com	JDoe@imachines.com	9%

Frequently Asked Questions

Where is Intuition Machines's headquarters located?

Intuition Machines's main headquarters is located at US. The company has employees across 6 continents, including EuropeSouth AmericaNorth America.

What is Intuition Machines's official website and social media links?

Intuition Machines's official website is imachines.com and has social profiles on LinkedIn.

What is Intuition Machines's NAICS code?

Intuition Machines's NAICS code is 5417 - Scientific Research and Development Services.

How many employees does Intuition Machines have currently?

As of October 2025, Intuition Machines has approximately 91 employees across 6 continents, including EuropeSouth AmericaNorth America. Key team members include Chief Executive Officer: J. K.Head Of People & Culture: M. S.Ceo: E. K.. Explore Intuition Machines's employee directory with LeadIQ.

What industry does Intuition Machines belong to?

Intuition Machines operates in the Research Services industry.

What technology does Intuition Machines use?

Intuition Machines's tech stack includes Google AdsJenkinsPostgreSQLVue.jsReactLinkedInLuaLinkedIn Sales Navigator.

What is Intuition Machines's email format?

Intuition Machines's email format typically follows the pattern of First@intuitionmachines.com. Find more Intuition Machines email formats with LeadIQ.

When was Intuition Machines founded?

Intuition Machines was founded in 2017.

Intuition Machines

Research ServicesUnited States51-200 Employees

We have one goal: applying cutting edge AI/ML to real world problems.

Our best-known product suite is hCaptcha, which is used by top online services to protect hundreds of millions of people.

We help some of the world's largest companies build and scale AI/ML solutions to address their business problems, with a focus on fraud and abuse. Each of our products comes from our ongoing research in AI/ML, with teams spanning many focus areas.