To better understand how complex systems work, professional data scientists in follow a systematic approach to generate, combine and analyze hundreds of possible variables involved in these processes with the ultimate goal of testing their hypotheses.

To have an idea of what this means, a researcher in a mid-sized project tackles with over 100.000 possible interactions but JUST ONE may be the key of the future discovery.

So if they don’t check all them over, it is very likely that they miss it.

The tools that are being used nowadays were not designed to explore all these combinations, at least in a efficient manner.

Being conscious of this and the scarcity of resources, researchers reduce their expectations and, consequently, their chances for real breakthroughts.

We at Butler Scientifics decided to turn that problem into an opportunity so we asked ourselves: what if we let the data tell its story?

That is the motto that drives our software engineering team to develop AutoD...
To better understand how complex systems work, professional data scientists in follow a systematic approach to generate, combine and analyze hundreds of possible variables involved in these processes with the ultimate goal of testing their hypotheses.

To have an idea of what this means, a researcher in a mid-sized project tackles with over 100.000 possible interactions but JUST ONE may be the key of the future discovery.

So if they don’t check all them over, it is very likely that they miss it.

The tools that are being used nowadays were not designed to explore all these combinations, at least in a efficient manner.

Being conscious of this and the scarcity of resources, researchers reduce their expectations and, consequently, their chances for real breakthroughts.

We at Butler Scientifics decided to turn that problem into an opportunity so we asked ourselves: what if we let the data tell its story?

That is the motto that drives our software engineering team to develop AutoDiscovery.

AutoDiscovery is an intelligent, high-throughput, automated exploratory data analysis (EDA) software that helps scientists at better understanding the underlying complexity of biological processes such as cancer development, diabetes or mental diseases.

With AutoDiscovery, scientists are now allowed to explore EVERY possibility, easily combine information from other collaborators and definitely take advantage of sirindipity to maximize their chances for great discoveries.

Our target customer is a Principal Investigator working in clinical, applied or basic research projects dealing with complex data sets.

We develop and commercialize AutoDiscovery to help them to discover more and faster.

And we get paid for that.

Specifically throught 3 different revenue streams:

1. Subscriptions to the standalone software,
2. Personalized analytic services and
3. Software components to be embedded into the customer’s technology.

To reach our customers we are using both online and offline channels.
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