Tailor Brands, an artificial intelligence startup that creates logos and develops brands for businesses, has raised a $15.5 million Series B round of funding, bringing its total financing amount to $20.6 million, according to a news release to corporate logo design.
Corporate Logo : Artificial Intelligence
The company, which has offices in New York and Tel Aviv, plans to use the money to make its service available in new languages (it’s currently available in English, Spanish, and German), to make new hires, and to add other undisclosed branding tools. Founded in 2014, Tailor Brands says it had more than 3.4 million businesses as users in 2017, and projects 12 million for 2018.
The service can make a logo simply and quickly by analyzing users’ answers to a few simple questions and visual tests. The company’s website provides a user numerous pairs of fonts, and the user must click on whichever one he or she prefers. That, and a few descriptions about what the business does, helps the A.I. system develop the corporate logo and brand, Tailor Brands says.
I decided to give the system a try, without alerting the company first. In less than 10 minutes, the A.I. system created logos for two fictional brands for me: a food truck called “Nacho Nacho, My Nacho” and a hair-dye business I called “Bob Marmalade.”
Corporate Logo : Testing Machine Learning Capability
To test its machine learning capability, and whether it would provide unique logos for each business, I selected the same fonts as my preference for both brands. The company also asks for a description of your business, which it says helps the system build a better design. I told the system that the food truck lets customers build custom nacho plates from a variety of toppings, while “Bob Marmalade” only sells orange hair dye. (You can find out what the logos look like below.)
Because I hadn’t created a user account, Tailor Brands only showed me a shaded preview of three versions of each of the logos. More choices are available if you do sign up (which is presumably where their high user numbers come from). You only get access to the license for the design, and the ability download it, if you pay for a subscription to Tailor Brand’s services. The price is $2.99 per month for a basic corporate logo plan, which tries to attract subscription users by providing seasonal logos, brand development help, and analytics. It’s $10.99 monthly for more advanced options, such as logo redesign tools and Facebook ads. Users keep the rights to their logos, which they can download from the company, even if they cancel, according to the Tailor Brands website.
In addition to creating the logos, the company says it is also working to train its algorithms to write advertising copy and develop a social media presence for customers.
A.I. is a heavily hyped and saturated sector
A.I. is a heavily hyped and saturated sector, drawing more than $10.8 billion in venture capital investment in 2017, according to PitchBook. Some applications of the technology are clearly more advanced than Tailor Brand’s logo service, such as Seattle-based Xnor.ai’s device-enhancing A.I. technology. But both companies are drawing in millions of investment dollars.
Xnor.ai is developing a technology it says will boost the capabilities of basic machines—such as cameras, sensors, watches, and more—to be able to perform the work of A.I. and machine learning tools. Xnor.ai announced a $12 million Series A funding round yesterday.
Tailor Brands’ new round of funding was led by Pitango Venture Capital Growth Fund and British Armat Group. Earlier investors Disruptive Technologies and Mangrove Capital Partners also participated.
As for the look of the logos for the two fake businesses Tailor Brands made for me—and again, these were only previews—the designs were definitely different, though not incredibly complex. And they didn’t necessarily seem to reflect the business model—Bob Marmalade’s “icon-focused” design shows an object resembling a Hoberman sphere above a reasonably orange logo (see the preview below).
And Nacho Nacho, My Nacho’s “name-based” corporate logo. This is reminiscent of a low-budget title’s font—though, maybe the dripping letters are a reference to melted cheese?
Corporate Logos From The Top Richest Companies
It’s never a bad time to start thinking seriously about that company you’ve wanted to set up, and setting the wheels in motion to turn an idea into a money making success. And what better way to aim for the moon than by taking a magnifying glass to the stars?
One of the most crucial elements of any brand, whether new or already making millions, is its logo. So if you’re in the market for a custom-designed logo for your fledgling company, taking a look at the big movers and shakers of the world can really help clarify what you need to achieve in branding. To help with that, we’ve rounded up the 100 most valuable brands of 2015, according to Forbes, and will give you a series of posts analyzing exactly what they do and don’t do, and why it may work so well for them.
At the most basic level, we can already tell successful companies tend to opt for versatile but simple designs. The majority of logos sampled are combination marks, meaning they have both a text and graphic design component. This type of design is particularly useful for creating both strong brand awareness and name recognition as well as giving it a strong visual presence with purpose-built images.
Companies like to keep it simple with their colors, with 85% of designs using only one or two colors in their logo. Designs which rely on shape and texture rather than lots of color to bring their brand across usually work better when scaled up or down on devices and in contexts where only black and white distribution is possible, like on some packaging.
Top 10 Corporate Logos According To Forbes
Apple | Technology
Microsoft | Technology
Google | Technology
Coca-Cola | Beverages
McDonalds’s | Restaurants
General Electric | Diversified
Facebook | Technology
Corporate Logo Brands – Branding Your Business With AI
Many challenges await start-up companies within the already-busy AI space. Today, it seems as if every new tech company is branding as ‘an AI company’; indeed, while VCs invested barely $415 million in AI ventures in 2012, AI spending is forecasted to grow to $37bn by 2025, according to research by Tractica. Accenture estimate that economic growth will be doubled with a productivity boost of about 4%.
The thing is, AI delivers digital consistency and puts brand insecurities to rest. A survey by The Economist revealed that 75% of the total 203 magnates are planning to incorporate AI into their business within the upcoming 3 years. It is also obvious that AI will lend companies a competitive edge in the market by giving them the ability to offer gilt-edged customer service functions. The challenge remains, however, when everyone and their grandmother is rebranding for the age of AI: how can we stand out?
AI in Branding: The State of Play
According to the Harvard Business Review, many companies are already looking to plan, organize, and implement AI technology across an array of business practices. These practices include management of non-customer external relations (28%), marketing and sales (35%), and customer services (39%), among others.
When it comes to employing AI across these practices, enterprises are turning en masse to chatbots or virtual assistants. Microsoft’s Cortana, Apple’s Siri, and Amazon’s Alexa not only act as new user interfaces and a means of automating certain aspects of customer care, but also serve as individual personalities which reinforce those companies’ brands.
Take the example of IPsoft’s Amelia. Amelia is a humanoid AI desk agent that, using algorithmic data from millions of databases, is able to automate countless business processes and serve several functions across the enterprise. Currently, Amelia appears virtually onscreen, but in the near future, holographic technology might make it possible to place a life-size Amelia at our service.
The effects of AI on branding
The applications of AI technologies within branding itself are numerous. The McKinsey Global Institute (MGI) published a recent report, Artificial Intelligence: The Next Digital Frontier?, discussing how AI is deployed by several companies and how much is invested in this evolving field. Of course, the way AI will eventually transform a brand depends on how the brand in question decides to use it.
The trend of fluid or liquid branding is emerging as businesses opt for new communication channels driven by AI technology. The liquidity or fluidity of a brand is maintained mostly through a personified tone and conversational interface for which most of the AI chatbots are programmed. AI keeps the brand adaptable and versatile, enabling it to keep evolving with time. It comes as no surprise that investment from tech giants aggregated to $18-$27 billion alone in AI technology in 2016, while external funding amounted up to $8-$12 billion.
A brand’s power is its consumers. AI technologies provide the ability to learn and develop intelligent insights from exponential sets of data – be they structured or unstructured. The machine learning aspect of AI digs deep into the myriad of data sets and retrieves information regarding consumer behavior, which enables brands to discover unanswered customer requirements. Moreover, brands can form the right structural framework by segmenting the information from data sets to define the brand approach.
A notable example is Nestle’s use of machine-learning forecast system that employs algorithms and hierarchical data to predict future sales. Nestle uses supply chain forecasting to improve global predictions, which enhanced its sales forecast by 9% in Brazil.
More creative, targeted approaches
As AI’s deep learning ability has led to a macroevolution in speech recognition, image procession, and vocal translation, indispensable creative opportunities await brands. When brands want to gain recognition of targeted audience insights, they can rely on machine learning to cater and align an array of relative consumer data from massive unstructured data sets. This way, they can use creative structured data to design the type of communication and elements appealing to their prospects.
For example, McCann Japan, a Japan-based ad agency, introduced an AI creative director in competition with a human to create an ad for Mondelez brand Clorets Mint Tab. The company accessed the database of award-winning ads in order to train the AI creative director to help it recognize the success factor. Though the human competitor won, the future for AI’s ability to learn and create ads indicates a pragmatic future, where humans create algorithms and machine learning structures them.
Machine learning isn’t just confined to recognizing consumer patterns and behaviors or analyzing algorithms. It also has the ability to align the creative interests of a brand with its respective influencer and create opportunities. Using AI to access unorganized data from social media sites, brands can recognize potential influencers as well as the key elements and content types driving their audience, creating brand awareness and advocacy opportunities.