We design, develop, and implement AI solutions

Learn how our professional services team helps bring your AI solutions to life

Learn more

Building AI Solutions requires
a different approach

With over 50 projects in 12 industries on 3 continents, we have refined our approach to 5 key steps to help you succeed with your project.
#1 DISCOVERY

We help you discover early the impact of AI for your business case

AI can improve over time with better quality data. We ask ourselves initially, how bad can the algorithms be to still achieve business outcomes and provide expected user experiences.

Discover & Define Business Outcomes

What is the value we are seeking?

Understand Expected User Experience

What's the best way to bring it into this world?

Defined Minimal Algorithmic Performance

How tolerant will users be to errors?

#2 DEFINED GOALS

Any company can start with AI.
Just define the right goals.

Whether you are a small startup or a large corporation, we love to here your big and ambitious plans for AI.
Our goal is to break down your vision down into the smallest possible deliverables with a clear business goal in mind. This makes it easier to find the best way to start and create value.

Correctly set goals
enable you to start
with the resources you have
and validate fast
#3 EXECUTION

We guide you through the R&D process

Back in 2018, Gartner reported as many as 85% of AI projects fail. While we are helping to improve that statistic, there are still many projects that stay in the lab and don't reach production, let alone achieve ROI.

What prevents companies to deliver AI-based projects

Getting stuck on data

Not doing anything until the data is "clean"

Over-engineering

Trying to make the model perfect too soon

Ignoring user experience

Not testing early in the real world

Trusting our experienced team can decrease your effort
to design, develop and deploy AI solutions by up to 80%

Here's how we can work together

Fully Managed

Outsourced R&D

Co-development

#4 VALIDATION

Model accuracy is just a small part of the validation process

What many providers won't tell you is that validation in machine learning is an iterative process. Next to model accuracy one must look at performance, operability, cost or if we are meeting expected user experience. The importance of each changes in various phases of the development.

#5 KNOWLEDGE TRANSFER

We share everything we know about machine learning

We are strongly focused on knowledge sharing because we believe that it's the best way that the technology we love can grow and do amazing things.

Don't miss out on the AI opportunity

AI will be a game changer

Some predict that it will be as common as the relational database, practically meaning it will be in every piece of software we write. Leading companies know that you need to bring business innovation together with the AI technology. So how do we do that?

We provide you the right skills at the right time

We bring to your project an expetional team with the right skillsets for each stage of development process. Plus they are generally really cool people to hang around.

We apply our in-depth discovery process

Customers typically have a hard time fully explaining themselves. Deep understanding of pains and gains is essential. We go as far as testing the experience ourselves.

We search for the best sustainable outcome

With over 50 projects in 12 industries, we know our work doesn't end with delivery. Through education and knowledge sharing, we give you the power to sustain and even improve the solution over time.

Bringing big ideas to life

We love big ideas, but to succeed with a large scale AI project you need move forward in small steps, considering both the model performance and the way you bring those results into the real world.

Reimagine construction safety with computer vision

A construction site is a constantly changing environment. How can you efficiently monitor it? How can it help reduce injuries? An AI model alone doesn't solve the problem. These questions eventually lead to building a full blown product.
Autonomous drones included :)

I'd like to explore this concept

Are you fully taking advantage of the AI opportunity?

Not sure. Tell me more.

More examples of our work

Kapnetix - AI for faster motion capture editing

We created Kapnetix.ai which makes the mocap process more than 10x faster without compromising on quality.

The solution for Burger King in France

Our application makes running an international fast food chain easier with realtime insights and recommendations