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FeatureBase

OLAP database built entirely on bitmaps

FeatureBase logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Analytics
  • SaaS
  • Data Analysis
Market District, Austin, TX

Company mission

To foster a community that leverages bitmaps to build and maintain the fastest, simplest, and most efficient analytical data technologies.

27% employee growth in 12 months

Our take

The majority of business executives recognize that AI will be essential to sustaining a competitive advantage in the future, but despite its rise in use, AI is not easy to prepare. Machine learning must be applied to enormous quantities of complex data sets, and this has caused widespread concern in AI’s ability to analyze data.

Austin-based FeatureBase works to build and maintain the most efficient analytical data technologies in existence. The company has taken an interesting approach to AI, recognizing the complex process of setting up machine learning algorithms for the average business. FeatureBase provides its tools to allow AI to be easier to set up, which the startup believes will increase the accessibility of AI and its rate of development.

Whilst the company has primarily focused on refining its core product, it is now developing its FeatureBase Cloud product, a no-maintenance SaaS deployment option. Aided by series A funding, the company is improving the user experience and functionality of FeatureBase Cloud.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Benefits

  • Medical, Dental, and Vision
  • Unlimited PTO
  • Competitive Salary, Equity & 401(k) Plans
  • Life & Disability Insurance
  • Remote First Workforce
  • Vibrant Office in Austin, TX

Funding (last 2 of 3 rounds)

Sep 2022

$10m

SERIES A

Jan 2021

$17.6m

SERIES A

Total funding: $33.6m

Leadership

They started their career by founding HOMEnterprises as CEO, before starting RateGenius, Universal Computing, FlightLock, and Finetooth. They spent over 13 years at The Texas Institute and Umbel, before founding Molecula as CEO in May 2017.