WE MAKE

ACCESSIBLE

Our goal is to make your daily business
more efficient and profitable.
READ HOW
INTRODUCTION

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We do this by integrating cutting-edge AI solutions such that you stay ahead of your competitors.

Integrating AI can seem like a large endeavor, however, we can provide steady progression by implementing it in small and valuable steps.

WHAT IS AI

Meet
the pack

iOS Developer

Pieter van Loon

Developer

Daan Streng

Data Engineer

Eddy van Beekveld

Web Developer

Martijn Ras

Front-end Developer

Nick Braat

Developer

Joey Claessen

Back-end Developer

Maarten Demandt

Designer

Sebastiaan Krijnen

Data Analyst

Jeroen van de Ven

Business Developer

Klaas de Boer

Business developer

Evert Fila

Managing Director

Edwin Hermkens

Finance & Office Manager

Christine Au

Developer

Wout de Ruiter

Project Manager

Mitchel Schouten

Human Capital Manager

Leanne Scheepers

AI-specialist

Sako Arts

Manager New Business

Pit Janssen

Concept Designer

Willemijn Mattheij

Performance Marketeer

Paul Kemper

Software Developer

Radostina Kamenova

Android Developer

Rene Floor

Project Manager

Rene le Clercq

Web Developer

Max Langerak

Developer

Evgeni Govedarov

Developer

Paul Borusas

Web Developer

Stefan Luijten

Project Manager

Wessel Prins

Software Developer

Radoslav Kostadinov

Back-end Developer

Justin Szanto

TEAM

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QUICK SCAN

Goals

In the quick scan we evaluate your business, what data you have available, the maturity of that data and the fields within your company that could potentially benefit from an AI implementation. The insights will be combined in a report that summarizes the AI applications that will be most beneficial accompanied by a tailored plan of attack.

Why

Before beginning with hands-on development it is good to have an overview of your companies current state. With a quick scan we help you get an overview on where to invest in AI, and equally important, where not to invest in AI. With the plan of attack you know what order of steps your company should take to become AI-ready.

PROOF OF CONCEPT

Goals

We use the PoC to get a better understanding of what's in the data, what the data actually describes and how to feed that information in Machine Learning algorithms. Additionally, we analyze the predictive capabilities of the data and research what type of algorithms perform best for the use case. This results in a better overview of the feasibility of the project and a more detailed project plan.

Why

Before dedicating to a big AI project it is wise to better understand the feasibility of the project. The best way to get an insight is by evaluating and processing the data, continuing with exploring a multitude of AI algorithms. Knowing what you are working with helps converging to the best possible solution.

PROJECT

Goals

The goal of a project is to make a proofed concept into a solid working, optimized and tested AI solution. The data pipeline will be documented and fortified. All results, their impact as well as the approach will be excessively reported on.

Why

In order for an algorithm to be deployed into practice the code, workings and results of the algorithm as well as the data pipeline need to be trustworthy. Documentation helps transferring knowledge, helping you to educate the necessary people in the subject. This all need to be packaged in a usable solution with an optimized algorithm at its core.

IMPLEMENTATION

Goals

During the implementation we strive to have a seamless implementation of the AI in your existing systems. The data will be loaded and transformed automatically, the AI will process the data and you system can act based on its results.

Why

With an integrated AI you will give the AI control over a part of your daily business. The system will be able to instantly react on the output of the AI without any manual labour required.

CONTINUATION

Goals

In the continuation we aim to constantly update your model according to changes in your business or data. Furthermore we monitor the performance of the model while it is in production.

Why

Updating the model ensures it to stay accurate while you business, and with that the data, gradually changes. While monitoring the AI’s performance builds trust in its operations and spots decreases in accuracy in time.

OUR APPROACH

Locate our
pack here

GIVE US A HOWL

We will howl together with you as soon as we possibly can.

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CONTACT