Insights

AI-Driven Defense Intuition Machines is known for hCaptcha and cutting-edge AI/ML applications to real-world problems, signaling strong potential for engagements related to fraud prevention, bot mitigation, and abuse detection for enterprise customers.

Enterprise AI Focus Targets include some of the world’s largest companies seeking to build and scale AI/ML solutions, presenting opportunities to offer end-to-end AI strategy, model development, and deployment across fraud, risk, and customer experience domains.

SaaS & Cloud Stack Tech stack includes Google Cloud Platform and Azure Blob Storage, indicating readiness for cloud-native deployments and potential upsell of scalable AI services, data pipelines, and secure hosting for client AI workloads.

Growth Potential Revenue range suggests a small to mid-market footprint with room to scale; sales efforts can target mid-market to large enterprises with existing hCaptcha integrations or parallel ML product suites.

Product Synergy Multiple focus areas across AI/ML research align with client needs in fraud, abuse prevention, and risk management, offering cross-sell opportunities to existing clients around expanded AI capabilities and governance.

Intuition Machines Tech Stack

Intuition Machines uses 8 technology products and services including NumPy, Open Graph, Zendesk, and more. Explore Intuition Machines's tech stack below.

  • NumPy
    Advanced Analytics And Data Science
  • Open Graph
    Content Management System
  • Zendesk
    Documentation Tools
  • Google Cloud Platform
    Infrastructure As A Service
  • Microsoft Azure Blob Storage
    IT Infrastructure
  • HubSpot
    Marketing Automation
  • Python
    Programming Languages
  • LinkedIn Sales Navigator
    Sales Enablement

Intuition Machines's Email Address Formats

Intuition Machines uses at least 2 format(s):
Intuition Machines Email FormatsExamplePercentage
First@intuitionmachines.comJohn@intuitionmachines.com
84%
First.Last@intuitionmachines.comJohn.Doe@intuitionmachines.com
16%
First@imachines.comJohn@imachines.com
64%
First.Last@imachines.comJohn.Doe@imachines.com
27%
FLast@imachines.comJDoe@imachines.com
9%

Frequently Asked Questions

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

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

How much revenue does Intuition Machines generate?

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As of July 2026, Intuition Machines's annual revenue is estimated to be $1M - $10M.

What is Intuition Machines's SIC code NAICS code?

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Intuition Machines's SIC code is 7378 - Computer Maintenance and Repair NAICS code is 5417 - Scientific Research and Development Services.

How many employees does Intuition Machines have currently?

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As of July 2026, Intuition Machines has approximately 104 employees across 6 continents, including EuropeSouth AmericaNorth America. Key team members include Chief Executive Officer: J. K.Head Of People & Culture: M. S.Director Of Engineering: E. L.. Explore Intuition Machines's employee directory with LeadIQ.

What industry does Intuition Machines belong to?

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Intuition Machines operates in the Research Services industry.

What technology does Intuition Machines use?

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Intuition Machines's tech stack includes NumPyOpen GraphZendeskGoogle Cloud PlatformMicrosoft Azure Blob StorageHubSpotPythonLinkedIn Sales Navigator.

What is Intuition Machines's email format?

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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?

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Intuition Machines was founded in 2017.
Intuition Machines logo

Intuition Machines

Research ServicesUnited States51-200 Employees

Intuition Machines is a United States-based company in the research services industry with 51-200 employees. It focuses on applying cutting-edge AI/ML to real-world problems. Its best-known product suite is hCaptcha, which is used by top online services to protect hundreds of millions of people. The company supports some of the world's largest organizations in building and scaling AI/ML solutions, with a focus on fraud and abuse. It lists a tech stack that includes NumPy, TensorFlow, JavaScript, SQLAlchemy, Microsoft Azure Blob Storage, Cloudflare, and ISO/IEC 27001.

Section iconCompany Overview

SIC Code
7378 - Computer Maintenance and Repair
NAICS Code
5417 - Scientific Research and Development Services
Founded
2017
Employees
51-200

Section iconFunding & Financials

  • $1M - $10M

    Intuition Machines's revenue is estimated to be in the range of $1M - $10M

Section iconFunding & Financials

  • $1M - $10M

    Intuition Machines's revenue is estimated to be in the range of $1M - $10M

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