Learning Machine Technologies revenue hit $241K in 2024

Learning Machine Technologies generates revenue from customers

Learning Machine Technologies

United States

About Company RevenueTeamFounder/CEOCEO Net Worth

How Learning Machine Technologies hit $241K revenue with a 3 person team in 2021.

Developer of secure credentialing systems designed to leverage and ensure the longevity and interoperability of educational data. The company's systems facilitate individuals to hold the certificates that they need to document employment, membership and formal education without having to request trusted documentation each time from the respective organizations, enabling governments, companies, schools and post-secondary education providers to ease enrollment management, portfolio review and applicant tracking.

Founded

2006

Founded

Revenue

$241K

2021 Revenue

YOY

-----

YOY

Funding

$0

Funding

Learning Machine Technologies Revenue

In 2021, Learning Machine Technologies revenue run rate hit $241K in revenue.

  • 2021

    Learning Machine Technologies hit $241K in revenue in 2021

  • 2006

    Learning Machine Technologies launched in 2006 with $0 revenue

Learning Machine Technologies Funding History


No funding has been reported for Learning Machine Technologies yet.

Team

Learning Machine Technologies has 3 total employees.

DISTRIBUTION QTY
Total team size 3

Founder / CEO

Dan Hughes

Q&A

  • What's your age?

    -

  • Favorite online tool?

    -

  • Favorite book?

    -

  • Favorite CEO?

    -

  • Advice for 20 year old self

    -

Customers

Churn

Learning Machine Technologies Executives

Name Position Working Email Personal Email
Dan Hughes CEO [email protected] -

Learning Machine Technologies Employees

Name Position Working Email Personal Email
Dan Hughes CEO [email protected] -

Frequently Asked Questions about Learning Machine Technologies

  • When was Learning Machine Technologies founded?

    Learning Machine Technologies was founded in 2006.

  • How much revenue does Learning Machine Technologies generate?

    Learning Machine Technologies generates $241K in revenue.

  • Who is the CEO of Learning Machine Technologies

    The CEO of Learning Machine Technologies is Dan Hughes.

  • How much funding does Learning Machine Technologies have?

    Learning Machine Technologies raised $0.

  • How many employees does Learning Machine Technologies have?

    Learning Machine Technologies has 3 employees.

  • Where is Learning Machine Technologies headquarters?

    Learning Machine Technologies is headquartered at United States

People Also Viewed

EMIRate

EMIRate is a reporting solution for EMIR and FinfraG. It provides information and facts about EMIR and offers manual data capturing for source systems. EMIRate is used by corporates, asset managers, banks, and municipalities.

PushAssist

PushAssist is a push notification service that allows websites to send push notifications to their users on various web browsers such as Chrome, Firefox, and Safari. It offers plans and pricing options for sending unlimited website push notifications. PushAssist was founded by Richa S and is operated by Cruxoid Inc.

Kiva Logic

Developer of an ecommerce management software designed for home delivery companies. The company's software offers features such as customer portal management, order tracking, order routing and others related features, it also simplifies and automates their business by reducing the person-hours required to manage customers, orders, payments, products and inventory, enabling customers to grow their business and reduce the amount of time they spend managing it.

Goodr

Goodr is a sustainable surplus food management platform that leverages technology to reduce food waste and combat hunger.

Stargate Partners

Stargate Partner's DemandOptimizer employs predictive forecasting and actionable analytics to deeply embed your customer into the DNA of your execution processes. Picture that today's and tomorrow's customers create a long, invisible queue .

webhooks.io

SaaS Webhook management and delivery platform that manages all the technical details from scaling the delivery infrastructure for web callbacks, allowing you to add reliability and scalability to your webhooks implementation.