Release notes

New features and changes in Aito

December 6th 2019

We are getting readier than ever for publicly rolling out the Aito Console, which means our users can manage their teams and API keys as well as see usage stats online. While loads of the work lately has gone to the Console, we were also putting together some educational content and as a result, tadaaa, Aito is now on Youtube! Head over to check the content our amazing Customer Success Engineer Maria has been putting together to help you take the first steps with Aito.

Soon-to-be-public Aito Console:

  • We’ve moved the Terms of Service to the console. This way you can read and accept the terms without physical contract hassle that has been a bit of a burden lately. We’re of course still available for questions, should there be any.
  • You can now request new instances right from the main page, with less clicks. Note, we are for the time being still limiting the creation of new instances, as we want to ensure the best experience and performance to those who already use Aito.

Aito CLI and integrations:

  • We have started collecting still experimental tools under aito-python-tools repository, where we have for example super useful Aito CLI tool that allows you to infer schema and quickly add data to Aito from JSON, CVS and XLS files.

Bug fixes:

  • There was an embarrassing bug where you could try to do a modulo-query on a string field and get rewarded with an Internal Server Error. Ooops! It’s been fixed now, though.
  • We’ve squashed a massive number of bugs in the console. Even before you saw them.

November 22nd 2019

  • We’ve added a new comprehensive example for showing Aito in action: the Kickstarter funding prediction. It’s available online at, live at Slush or in meetings with your favourite Aito people
  • The Aito self-service experience is function-complete. We will be rolling out access to the people in the waiting line soon, and general availability will happen within a few weeks. Stay tuned for more details.
  • We improved the update process, so we can now roll out changes and security fixes much smoother than before
  • We have improved the validation during the schema creation. Unknown analyzers are now reported correctly rather than throwing an exception
  • Representation learning is now one step closer. Basically this will allow Aito to group statistically related features automatically. As a result, the query results will improve and the explanations will get better. In short Aito will become smarter. This is a big improvement, but also a huge change. Thus, we’re rolling out the feature in selected use-cases, and step by step. There will be more details in our blog later.

October 3rd 2019

  • Better support for numeric data
    • With $numeric proposition, Aito can now detect proximity between input values

September 9th 2019

  • Extended language analyzer support:

    • support for many new languages
    • configure stop and key words
  • New text analyzers:

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