Stop Waiting. Start Modeling.

The only data science platform that cuts iteration time in half.

PUFF: The Ultimate Data Science Platform

Find Out How
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Fed up with this?

Screenshot of an error message from a Python script indicating that the function 'train_multilinear_regression_final' was called, but the variable 'training_coefficients' is not defined.

How about this?

Screenshot of a Reddit post from r/datascience titled 'Nobody talks about all of the waiting in Data Science,' discussing the long waiting times when executing queries or training models on large datasets, and the author's current experience with waiting for a query to finish on a table with billions of rows.
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Data Science Is A Lot of Waiting

50-60% of the job is iteration, not insight

(a conservative estimate)

  • 45%-60% of Data Scientist time is spent on data prep (BigDatawire, Forbes/Trifecta)

  • 10-20% of developer time is lost to slow builds, slow runs, environment waiting or blocked execution (GitHub, McKinsey)

  • Only 20-30% of DS time is spent “modelling” (Kaggle/BurtchWorks) and modelling includes heavy iteration.

All that time waiting is pretty boring… and pretty frustrating…

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PUFF is created BY data scientists FOR data scientists

It’s a one stop shop for data science tooling and productionisation. It’s designed to cut waiting time in half, doubling your capacity for interesting work and decreasing the amount of coffees you drink just for something to do while waiting.

We reduce dead time through:

  • Reduction of iterations via detecting typos and bugs earlier in the process

  • Intelligent caching to reduce re-calculating slow running functions unnecessarily

  • Multithreading. How is this not a universal thing in Python already?

  • Standardised formats for painless pipeline handoffs

  • Unit & measure typing (no more adding Celsius to metres)

  • Full meta data lineage, licensing and encryption handled automatically

  • Many more things we’re not allowed to talk about yet….

Want to get your paws on it? Open beta launches in Feb. Join the waitlist now.

Sign Up for the Closed Beta
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