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Layer

Metadata store for production ML

Layer logo
21-100 employees
  • B2B
  • Big data
  • Machine Learning
  • Cloud Computing
City of London, London, UK

Company mission

To serve as a collaboration-first metadata store that helps users build, train and track all their machine learning project metadata.

Our take

Building, training and tracking machine learning data can be overwhelming and complex. Layer solves this problem by making it easier for users to log, display and compare their machine learning megadata sets.

With Layer, users can build, train, and track ML projects from a single platform, making collaboration and onboarding more streamlined for teams. Users can also access cloud resources if they need to boost their computing power. Companies like Neptune and ForePaaS already offer similar capabilities - but where Layer comes into its own, is that users can also easily share and search other public projects on the Layer platform, which has recently also gone open source.

This is an interesting move following the platformโ€™s soft launch in early 2022, and perhaps indicates that Layer is looking now to position itself as something like the GitHub for ML teams. It may be a smart way for the company to distinguish itself from competitors - and certainly, there appear to be no obvious rivals so far.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • $40 social budget per month
  • A budget to purchase your remote working setup
  • All-remote work style, work anywhere. Currently, we prefer teammates to be within UTC to UTC+5
  • $1000 L&D budget per year
  • Healthcare
  • Equity plan
  • Access for global co-working spaces
  • Company credit card

Company values

  • ๐Ÿš€ Execute Pragmatically: We approach work with speed and practicality in mind. We take individual ownership over our work, and we trust each other to deliver, but we avoid working in isolation. We strive to be excellent at what we do and will take time to deepen our knowledge of our craft; the more we learn, the better we can execute!
  • ๐Ÿ’“ Be Open: At Layer, openness applies to both the business and the people who work within it. We are continually open to giving and receiving feedback and learning new things from each other. We communicate openly and honestly. We are humble and kind and acknowledge that we are not always right
  • ๐ŸŒŽ Think Global: we are committed to being not just a fully remote business but a fully global one. We want people worldwide to work with Layer and thrive as employees, partners, customers, and members of our community

Funding (2 rounds)

Nov 2023

$1.8m

SEED

Nov 2020

$5m

SEED

Total funding: $6.8m

This company has top investors

Leadership

Previously founded Oyun Studyosu, and co-founded Gram Games, serving as CEO of both companies.