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PillarTech�AI Solutions

�Projects Examples

Challenge 🡪 Solution 🡪 Value

Solving the impossible

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In 2019 Pillar integrate an AI services.�Pillar’s mission was to democratize AI and make it accessible to small and mid size companies that can’t afford to hire a team of data scientists. After dozens of successful projects building and implementing AI solutions for clients, we observed a common theme:

before coming to us, many of our clients evaluated off-the-shelf solutions and passed or tried to implement off-the-shelf AI solutions and failed…

Understanding these challenges, we envisioned to bring a product to market that will help organizations seamlessly transform to becoming AI-driven.

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Our Founding Story

We help companies to adopt data-centric AI transformation, while creating tangible value creation.

Making data science approachable and companies AI independent.�

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Mission :

Skills :

Contex :

• We have consolidated their customer databases, provided data visualization, customer lifetime prediction, and a marketing roadmap to allow them to scale up. We have also automated several processes in the customer acquisition funnel.

• data-science

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• data-visualization

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• automation tools

• La Brasserie Barge is a brewery in Greater Paris. It sells beer to supermarkets, bars, direct customers, and festivals.

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Mission :

Skills :

Contex :

• We worked closely with the organization to upgrade their application, using an innovative ballot system, and enhance the overall user experience. We automatically decoded the paper ballots using advanced computer vision-based algorithms.

• machine learning algorithms

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• computer vision

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• user experience

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• web-development

• The city of Paris conducts participatory budgeting each year in which inhabitants decide how to allocate part of the municipal budget. The city has roughly 100k paper ballots and 50k electronic ballots.

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Mission :

Skills :

Contex :

• We designed machine-learning-based algorithms to assess the probability that a customer is cheating. To scale with millions of frames, we used an ensemble of very lightweight deep-learning-based models. We build a dataset to evaluate our algorithms. We deploy our solutions on AWS.

• machine learning algorithms

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• computer vision

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• annotations

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• cloud computing

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• Evalmee is a startup that automatically supervises students during their examinations. They use a camera to assess whether a student is cheating or not.

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