Artificial intelligence insight tools

Towards augmenting human intelligence

Screenshot of Aiit software

Artificial intelligence insight tools are your companion in identifying opportunities for applying machine learning in your work. It aims to make machine learning more accesible to a larger audience by approaching machine learning as a design process.

Human at the heart of machine

Designed with a focus not on crunching and optimizing numbers but rather providing a sandbox to explore and to understand your problem space.

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Work visually

A big challenge in data science is translating the big pool of data into information that could be used to drive decisions. AI insight tools enables that through an big emphasis on the visualisations.

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Quick feedback loops

Machine learning is equal parts science and craft. Enabling an iterative process to get an intuition about the to the solution is at the core of AI insight tools.

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See the big picture

With multiple trials and iterations the user gets to understand the larger picture about machine learning and thus form an intuition about its possibilities in a given problem space.

Features that are simple, yet powerful

We provide a sandbox to explore and to understand your problem space. Being quick and visual means we can build prototypes for machine learning.

Screenshot of configuration screen in Aiit

Loading data files, splitting into training and test sets, and defining the learning task.

Screenshot of configuration screen in Aiit

Interactive visualizations are the key to quickly getting to know the data and understanding their potential for machine learning.

Successful machine learning results from quick trials of parameter configurations. Real-time feedback helps to quickly discard unpromising trials.

Screenshot of configuration screen in Aiit

Fine-tune the most promising tracks by visual and quantitative in-depth analysis. An export into open source learning frameworks allows for re-training on new data.

Screenshot of configuration screen in Aiit

Prepare

Loading data files, splitting into training and test sets, and defining the learning task.

Screenshot of configuration screen in Aiit

Analyse Data

Interactive visualizations are the key to quickly getting to know the data and understanding their potential for machine learning.

Configure Models

Successful machine learning results from quick trials of parameter configurations. Real-time feedback helps to quickly discard unpromising trials.

Screenshot of configuration screen in Aiit

Export

Fine-tune the most promising tracks by visual and quantitative in-depth analysis. An export into open source learning frameworks allows for re-training on new data.

Solving problems in synergy

The ideal framework for implementing and achieving the best results with the AI insight tools formed through an interplay between you as the expert in your respective domain and Intuity as your partner for design and machine learning expertise.

> Learn more how AI insight tools can be applied in your domain
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Powered by a solid stack

Built upon the best standard libraries for machine learning and visualizations the tools are engineered for the best user experience so you can focus on exploring and solving your problems. Using modular, cutting-edge technology we combine performance with agility.

Aiit technology stack

UI and visualizations built with React JS and D3

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Event-driven data model with our cloud framework wolkenkit

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AI programmed in Clojure and Python with strong libraries such as Weka, Incanter, scikit-learn, Pandas

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