Insights

Blockchain credentialing Target organizations pursuing tamper-proof, shareable certifications and verifiable diplomas, including governments, higher education institutions, and enterprises that require secure credentialing for compliance and workforce verification.

Strategic partnerships Leverage potential acquisition and partnership interest from Hyland and existing university collaborations to position Learning Machine as a trusted provider for large-scale digital credential ecosystems and enterprise-grade deployments.

DHS funding leverage Highlight DHS S&T funding history to prospects in security-focused sectors; position the company as a credible innovator in credential forgery mitigation and blockchain-based verification solutions attractive to public sector and regulated industries.

Medium enterprise fit With a lean team and revenue in the low millions, emphasize scalable solutions for mid-market institutions and companies seeking rapid deployment of blockchain credentials without large integration overhead.

Technology stack fit Prospects using WordPress, Salesforce, HubSpot, and TypeScript can be approached with balanced integrations and CRM-driven outreach; emphasize interoperability and developer-friendly APIs for seamless credential issuance workflows.

Similar companies to Learning Machine

Learning Machine Tech Stack

Learning Machine uses 8 technology products and services including GitHub, WordPress, Salesforce, and more. Explore Learning Machine's tech stack below.

  • Communication And Collaboration
  • Content Management System
  • Customer Relationship Management
  • Google Fonts API
    Font Scripts
  • Marketing Automation
  • PHP
    Programming Languages
  • TypeScript
    Programming Languages
  • MediaElement.js
    Video Players

Media & News

Learning Machine's Email Address Formats

Learning Machine uses at least 2 email formats:
Learning Machine Email FormatsExamplePercentage
FLast@learningmachine.comJDoe@learningmachine.com
73%
First@learningmachine.comJohn@learningmachine.com
27%

Frequently Asked Questions

What is Learning Machine's phone number?

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You can contact Learning Machine's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

What is Learning Machine's official website and social media links?

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Learning Machine's official website is learningmachine.com and has social profiles on LinkedIn and Crunchbase.

How much revenue does Learning Machine generate?

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As of August 2026, Learning Machine's annual revenue is estimated to be $1M - $10M.

What is Learning Machine's NAICS code?

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Learning Machine's NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does Learning Machine have currently?

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As of August 2026, Learning Machine has approximately 4 employees across 5 continents, including North America, Europe and Africa. Key team members include Director Quality Assurance: J. K. and Manager: M. R. Explore Learning Machine's employee directory with LeadIQ.

What industry does Learning Machine belong to?

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Learning Machine operates in the Technology, Information and Internet industry.

What technology does Learning Machine use?

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Learning Machine's tech stack includes GitHub, WordPress, Salesforce, Google Fonts API, HubSpot, PHP, TypeScript and MediaElement.js.

What is Learning Machine's email format?

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Learning Machine's email format typically follows the pattern of FLast@learningmachine.com. Find more Learning Machine email formats with LeadIQ.

How much funding has Learning Machine raised to date?

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As of August 2026, Learning Machine has raised $3M in funding. The last funding round occurred on May 07, 2018 for $3M.

When was Learning Machine founded?

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Learning Machine was founded in 2017.
Learning Machine logo

Learning Machine

Technology, Information and InternetUnited States2-10 Employees

Learning Machine provides digital credentialing services that attach official records to a blockchain-backed format, making them resistant to tampering, easy to share, and independently verifiable. Its client base includes government entities, private-sector organizations, and educational institutions that need trusted, portable credentials. The approach addresses credential forgery and verification challenges by delivering verifiable proofs that can be independently checked.

The company operates in the technology, information, and internet sector, focusing on blockchain-enabled credentialing solutions. It is based in the United States and runs as a small team. Notable collaborations include a partnership with Maryville University to issue blockchain-secured diplomas.

Section iconCompany Overview

Phone number
NAICS Code
5415 - Computer Systems Design and Related Services
Founded
2017
Employees
2-10

Section iconFunding & Financials

  • $3M

    Learning Machine has raised a total of $3M of funding over 1 rounds. Their latest funding round was raised on May 07, 2018 in the amount of $3M as a Seed.

  • $1M - $10M

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

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