Customers | Fritz AI

Customers

Learn more about the amazing experiences our talented customers have built.
 

Snapchat Customers

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BW Style by Helen Breznik

Icy Tree by RYAN SHIELDS

Wild Lines by Jonah Cohn

U-R-FRACTAL by jp pirie

FOOTBALL-AI by jp pirie

Up In Smoke by Ger Killeen

Mobile Customers

Video Star Video Star

Video Star

With custom model training notebooks developed by Fritz, the Video Star team has been able to integrate the creation of new styles into their workflow. And with the ability to add tags and metadata to each custom style developed with Fritz, the team can easily manage their distribution.
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Mission

Making you and your friends the stars of awesome music videos.

Challenge

Create a stabilized style transfer system for creating flawless stylized videos.

Solution

Stable style transfer and custom training notebook.

Related Products

Fritz AI for Mobile, Style Transfer

Platforms

iOS, Core ML

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Video Star

PlantVillage Nuru PlantVillage Nuru

PlantVillage

David Hughes and his team set out to use machine learning to bring this expertise and knowledge into the hands (and smartphones) of farmers themselves. The result was PlantVillage’s Android app Nuru (meaning “light” in Swahili), which serves as an expert assistant for farmers in the field, detecting diseases in Cassava, potato, and African maize – all in real-time and without internet access.
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Mission

Helping farmers in East Africa detect and treat plant disease.

Challenge

Create a digital assistant to help farmers diagnose crop disease in the field, without an internet connection.

Solution

Custom-trained object detection models for Cassava, Potato, and Fall armyworm.

Related Products

Fritz AI for Mobile, Object Detection

Platforms

Android, TensorFlow

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PlantVillage Nuru

MDacne MDacne

MDacne

To incorporate ML into MDacne, Dr. Harth and Oded turned to the Fritz team’s years of ML expertise in creating and integrating a proprietary, protected model to make these predictions on-device and in real-time.
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Mission

Help everyone get clear skin with the world's first fully customized acne treatment kit.

Challenge

Create a personalized skin assessment and treatment plan utilizing mobile machine learning.

Solution

The MDAcne app uses computer vision and machine learning to detect cases of acne and track blemishes over time.

Related Products

Fritz AI for Mobile, Object Detection, Model Protection

Platforms

iOS, Core ML

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MDacne

Superimpose X Superimpose X

Superimpose X

To differentiate his photo editor from the rest, Pankaj focused on 2 specific components not commonly found in most photo editing mobile apps: masking and layering. These features allow users to let their imaginations run free – composite images, incredible double exposures, different worlds blended into one surreal landscape – directly inside the Superimpose X app.
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Mission

Create the best and only image editing app you'll ever need.

Challenge

Automate tedious image masking tasks with machine learning.

Solution

Auto-generate photo masks around people with Image Segmentation.

Related Products

Fritz AI for Mobile, Image Segmentation

Platforms

iOS, Core ML

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Superimpose X

GIF Maker by Momento Momento

GIF Maker by Momento

[Momento] decided to implement a machine learning model that would segment out people and allow this dynamic interaction with AR effects. But the journey towards implementation turned out to be more difficult than expected.
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Mission

Help people create and share amazing GIFs in seconds.

Challenge

Make immersive, fun AR filters and effects.

Solution

Use video segmentation to separate people from the background of a scene to composite AR effects more realistically.

Related Products

Fritz AI for Mobile, Image Segmentation

Platforms

iOS, Core ML

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GIF Maker by Momento

One Bite One Bite

One Bite

Andrew and his team realized that to manage a growing library of user-generated content, they’d have to find a way to automatically do some of this work. For the kind of real-time verification One Bite needed, embedding an ML model in the app became an obvious solution.
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Mission

Always find the best slice of pizza.

Challenge

Create an app with user-generated "one bite" pizza reviews.

Solution

Image labeling model to ensure all reviewer photos are of pizza.

Related Products

Fritz AI for Mobile, Image Labeling

Platforms

iOS, Core ML

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One Bite by Barstool Sports

InstaSaber InstaSaber

InstaSaber

With more than 15,000 app installs in the first couple of weeks, this meant he needed to monitor performance on a bunch of different devices and in different conditions. Without a team of developers at his disposal, Hart needed some help.
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Mission

Create a new entertainment experience allowing everyone to wield an AR saber.

Challenge

Use computer vision to turn an ordinary piece of paper into a virtual saber and swing it around in realtime.

Solution

Deploy and measure custom motion tracking model.

Related Products

Fritz AI for Mobile, Analytics + Monitoring

Platforms

iOS, Core ML

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InstaSaber