Disrupting the space of developer productivity I Backed by Sequoia and Eniac

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Min Investment
Offering Date
February 02, 2023
Expected Close Date
March 01, 2023

Company Description

As language models get more complex, they also get more expensive to create and run, locking out a lot of companies. It's very hard for places with smaller budgets to get the same level of results as tech giants like Google. Additionally, building out a high performance data science team with extensive data literacy skills is a hefty investment, since the average salary for a data scientist working in the U.S. is $195K. Research indicates that the number will likely rise, as the U.S. is predicted to experience a shortage of 250K data scientists by 2024.

Key Deal Facts

Gives teams the fastest framework for post model pipeline
Recent customers include a $25B global silicon chip manufacturer
Financial projections of $500K ARR EO23 → $4M EO24 with 90% gross margins
Targets a $15B market that is experiencing non-linear growth
Seed+ round was quickly oversubscribed, so it has been extended to $1M
Already raised $2.3M from top-tier VC funds, Sequoia and Eniac, and angels
Built by alumni from Meta, WorldQuant USA, Reflektion, and more
Amount Raised : $0
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