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Logojoy Shares Growth Milestones and Outlines New Feature

In the age of the side hustle, entrepreneurs have their hands in every aspect of creation, from distribution to design.

Founded in November 2016 to help consumers create inspired and artistic branding, The Toronto-based Logojoy is less than a year old but picking up speed quickly.

The company has shared new growth milestones, with over one million unique users creating more than three million logos so far.

Over 20,000 of those logos have been sold, generating over $1 million in revenue during the eight months since launch. The company has grown to 24 employees, and eyes continued growth as they launch new features and fine-tune their process.

“We have grown fast and furiously—in a smart way,” says Melissa Grosser-Granite, Logojoys director of PR.

Logojoy’s top users by country come from the U.S., U.K., Canada, Australia and South Africa, representing a real diversity around the world. The design platform is also seeing strong growth in Asia as well.

Rares Crisan, the co-founder and CTO, also outlined a new AI-driven feature that is live now. Logojoy’s goal is for elements on the page to fit together seamlessly without much interaction from the user—just like certain fonts or colors fit well, images should work off one another, creating a unified tone and feel for a logo.

“We took a couple steps to build towards everything looking good, and one of the key things is font classification,” explains Crisan. “Having our AI classify font into a category does that.

When you use Logojoy’s platform to select a font, there are categories like elegant, funky, or futuristic—not exactly design-academia terms, but perfect for newcomers into the space. The company will now be able to source fonts from every corner of the internet and use AI to sort them into these groups, providing users with more specific selection and ensuring the finished logo maintains a cohesive look.

“It’s a great thing to develop something like this,” says Crisan. “We can always add and update fonts. We can also see how users describe their fonts, and it allows us to keep evolving and see how we can group key words.”

Logojoy’s AI uses a slightly-tweaked convolutional neural network to look at how letters are formed or drawn by hand, ignoring the weighting of the font. This allows certain distinctions to be made that can then be applied to classifying images into categories as well—for example, if you want a futuristic font and a matching image, say of a maple leaf, the platform can potentially search out correctly classified matches to your request.

The goal is to improve Logojoy’s classification system as much as possible. With strong AI-driven designation, users will have design elements that adhere to exactly what they outlined, making sure their input is implemented at every step of creation.

“It’s not about drastically creating—its about the designer experience,” says Crisan. “A good designer won’t draw something and force you to use it. What they should do is navigate to your vision. Tweak away and make what you want. That’s what Logojoy does.”

Crisan and Logojoy have high hopes for the future of the company, looking to one day be the design partner for every new business, whether it be billboards or craft social media posts.

“Approaching logos as a starting point, it helps to see where we should start and see how you define design to a computer,” says Crisan. “As we add complexity and use the AI to understand more elements, eventually the hope is that this can be applied to more things.”

For now, Logojoy is satisfied with huge growth and a mission to rebrand the way logos are created.

Note: This article was updated to clarify Logojoy’s new AI feature.

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