About Us

Who we are, What we do, Why we do it…

A recent market research commisioned by IBM and conducted by Morning Consult (Global AI Adoption Index 2021) reveals that almost one-third of organizations are using some form of AI technology and almost half say they are “exploring AI”.

But, what does exploring AI really mean?

Does it mean that is enough to read articles and attend talks about the urgent importance of AI to then continue doing business as usual? Or, does it mean you must set up an automated bot on your website to interact with visitors and tell your boss:

“We transformed our digital substrate using innovative NLP techniques that delight our customers while collapsing costs through automation”?

Or, does it mean that everything your organization has done so far is arcaic and wrong and you should make a U-turn towards AI?

At Dojo Science we believe the answer to the above questions is:

It depends…

It depends on a multitude of factors involving - but not limited to - organizational routines, continuity strategy, change management, existing technology stack, business maturity, innovation processes, and some more.

At Dojo Science we help you navigate all the variables you should consider when “exploring AI”. We’ll teach you how to control those variables that can be controlled and how to deal with the uncontrollable ones. We’ll help you overcome barriers to adoption such as lack of skills or training to develop and manage trustworthy AI or navigate complex data systems.

We believe that there is a correct solution for everyone but not one solution that fits everyone. For this reason, we champion a tailored “startup approach” to help you succeed in exploiting AI:

  1. We collaboratively define the problem through Customer Discovery

  2. We design an MVP solution that balances feasibility (time-to-value) and alignment to your mission

  3. We put it in your hands for Testing

  4. We Learn, Pivot, Repeat

  5. We double-down on the winning solution to increase scope/scale

We are confident that our past experience, ongoing research interests and forward-thinking curiosity make us knowledgeable and prepared to assist you in the following Data Science areas:

Project Management:

  • Statistical Analysis Plans

  • Research Study Design

  • Literature and Technology Reviews

  • Archival Research

  • Case Studies

Data:

  • Data Engineering

  • Data Visualization

  • Database Development

  • Pipeline Strategy

Modeling and Simulation:

  • Exploratory Data Analysis

  • Statistical Inference

  • Network Analysis

  • Survival Analysis

  • Discrete Choice Analysis

  • NLP

Note

Through our clients, ranging from small startups to large multinational corporations and leading academic institutions, we have a track-record of successful projects in the following fields:

  • Venture Capital

  • Initial Public Offerings

  • Cleantech

  • Open Source Software

  • Sports (Football)

  • Industrial IT

  • Consumer Packaged Goods

  • Supply Chain Management and Logistics

We heavily rely on one technology:

Python Logo

But we are also Data Science polyglots and always open to learn.

We are open source software advocates, innovation believers and frontline supporters of movements fighting for equality, inclusion, diversity and sustainability. We mean it!

The Founder

Giovanni Liotta (LinkedIn)