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Why does a company need a logo? A logo is like a brand's superhero emblem. It's a visual cue that triggers certain vibes and feelings among your audience. Initially, a strong branding strategy helps to create a recognisable trademark that will be associated with a particular business and attract customers. Later on, branding (when it’s well-designed) can be the main reason for the increase in customer loyalty. This means that customers will be more loyal to the brand and come back for a repeat purchase. Nearly everyone today can identify the logos of Apple or Toyota, but what makes these symbols so distinct? The answer is that we see these logos all over the place on phones, cars, media and advertising. However, these logos didn't always hold the recognition they do now. Every company, even the most prosperous ones, had humble beginnings. How can I get a logo for my start-up? Professional Design Studio This option seems to be the most reliable and traditional one. From year to year, professional studios have been executing thousands of company logo orders. The design studio develops a project that takes into account all the wishes of the client, and also studies all the features of the business industry. Let's see the pros and cons of working with a design studio. You can find design studios on or . Behance Dribbble Pros: With vast experience working with diverse companies, professional design studios typically offer a custom approach to logo development, ensuring a design that best complements the brand. . Uniqueness . Professional designers use state-of-the-art software and advanced technology to create a top-notch logo. Quality . Design studios create a logo, taking into account its display in different environments. This means that the logo can easily be used on any medium from a business card to a billboard. Adaptability . Having a logo designed by a professional studio signals a business's serious commitment and professional approach to its brand image. Reputation Cons: . Let's talk numbers. Logos made by pro design studios can have you shelling out anywhere from $5,000 to $15,000 and beyond. Now, if you're a fledgling startup, you might think twice before dropping that kind of cash on a logo. There could be other, more immediate areas that need your financial attention. Cost Factor . The clock is ticking, and in the startup world, time is as good as gold. The average design studio might take weeks. To some, that might seem like a millennium compared to other faster (but maybe less refined) options. And don't forget, there's some legwork to be done on your part too, choosing the right studio is going to eat up some hours. Time Investment The average time it takes a professional design studio to devise a logo is around 2-4 weeks, which might seem a bit too long compared to other options. On top of that, you will have to spend a certain amount of time on choosing which studio to contact. Time. I think all startups would like to order a logo design from a design studio, but it is too expensive and time-consuming. In addition, at the initial stage, many companies make a pivot in development, which can mean a change of brand. Freelancer Freelancers are either designers alone, or small groups of designers who work remotely and are willing to do small orders. Freelance exchanges are now plentiful, and it is relatively easy to find the right contractor. However, there might be a tremendous difference between two seemingly similar freelancers - anyone who has ever worked with a freelancer knows this. If you aim to find a person who will make a decent logo for a reasonable price and you actually find one, you are definitely lucky. Most popular freelancer marketplaces to hire freelancers are , and . 99designs Fiverr Upwork Pros: . The average price that freelancers charge for their work is lower than that of a studio. It can start with $50 and reach $1000, if a freelancer is experienced and has a good portfolio Price . In general, freelancers present a finished logo much faster than a design studio, which might be crucial in case you need your logo ASAP. Time . A freelancer can work with you at your convenience and strictly according to your requirements. Flexibility . Modern freelancers tend to have experience in versatile areas of design and that is why they can offer you a unique and creative approach to your logo. Experience Cons: . Freelancers don't usually provide guarantees for their work, which can lead to problems once the logo is received. In the worst case, you might even face the risk of copyright infringement. No guarantee of design uniqueness Freelancers may offer a limited selection of styles and colours, which not always meets your requirements. Or even worse, freelancers may use some of the pre-made templates, making your logo an ordinary and boring picture. Limited choice. As a rule, the work of a freelancer includes 2-3 edits (revisions) of the design. You have to pay extra for additional revisions. Limited number of edits. . Not all freelancers get their work done on time; sometimes, they might simply forget about your order or complete tasks that are a higher priority for them. Failing to meet the deadline AI Logo Generator Creating a logo online without human involvement is a service that has become available with the rapid development of Internet technology. Now, when AI programs are slowly but surely taking over entirely different markets, finding a worthy AI logo generator (such as the one I made, ) is as easy as one-two-three. Turbologo Pros: Automatic logo generators usually offer their services at a low cost, which makes them affordable for all companies, especially for start-ups. Sometimes, the use of a logo generator is completely free of charge, but typically they require to pay to download results from $20 to $100. Price. Designing a high-quality logo for an automatic generator is only a matter of a few seconds. Time. All the leading logo generators charge their clients only if they are satisfied with the result obtained. In case you don’t like the generated logo, you can simply leave the website without paying anything. Post-pay. Logo generators can create logos for companies representing completely different industries, from esports to cotton candy production. Versatility. Most of the modern logo generators have a simple and friendly interface and don’t require special design knowledge. It means that you can create a masterpiece within a few mouse clicks. User-friendliness. Cons: . Logo generators usually offer a limited choice of designs that may not exactly fit the company's needs and its brand. Moreover, some of the generated designs turn out to be standardised templates. Limited choice of designs Some logo generators don’t allow changes (even the smallest ones) to the design, which may result in the need to make an additional order and pay extra money, respectively. But it really depends on the service, so it’s better to make sure that Making adjustments. adjustments are free of charge. Unfortunately, there are unfair logo generators on the market which use commercial fonts or icons without a proper licence. An even worse scenario is if a generator sells you a logo that is protected by copyright and you only realise it after you have bought it. So be sure to check the licences of the fonts and icons used in your logo. Copyrights or licences issues. Which option to use? Depending on your personal situation, you might find any of the options listed suitable for your needs. Undoubtedly, each described way of ordering a logo for your company has the right to exist. However, if you are only starting your own business and don’t have infinite resources, I would highly recommend you to try the logo generator method. Not only is it extremely cheap (or maybe even free), but it will almost certainly provide you with a suitable solution to your logo-searching problem - I have tried it myself several times. Nowadays, there are plenty of different automatic logo generators, but the most popular are , , or . Turbologo Looka Canva TailorBrands Conclusion Logo generators are convenient and accessible tools for aspiring entrepreneurs seeking distinctive logos. AI-powered generators offer a range of templates, colors, fonts, and design elements to customize according to specific needs. They also enable the creation of prototypes, ensuring alignment with expectations and business identity. With logo generators, business owners can swiftly craft professional and appealing logos that differentiate their brand and yield a competitive edge. Even the most successful companies started somewhere, and using an AI-generated logo as a startup's initial branding is a proven and practical solution in today's market.

How an AI Logo Generator Can Help Start-up Businesses

When asked what advice he'd give to world leaders, Elon Musk replied, "Implement a protocol to ." control the development of Artificial Intelligence If left unchecked, he reasoned that machine learning technology would outgrow its developer and see it (us) as no longer an essential part of the process. And as few technologies are more progressive or disruptive in their advancement, he might have a point! But before ML pulls a terminator on us, it's shaking up the corporate landscape, unlocking once closed markets, leveling playing fields by providing innovative solutions to long-standing problems, and making it easier for the little guys to compete with the corporate goliaths. And that's pretty cool. In this article, we'll uncover how it's happening and look at 8 companies using machine learning in cool ways that change our lives, even if we don't know it yet. 1. Facebook – The Rise of The Chatbots! Chatbots not only match their human counterparts when it comes to customer service but have the potential to far exceed us, and Facebook's leading the way in discovering how. Facebook Messenger is now a testing ground for chatbots, and if you use it, you're the subject, and you might not have even noticed it! Chatbots are quickly becoming indistinguishable from humans when chatting via text because they have access to an immeasurable number of customer-related data points and can detect repetitive problems, patterns, and predict user issues. Meaning they are perfectly equipped for customer service agent roles and are an invaluable addition to modern business. Facebook's also enabling SME to avail of the advantages by allowing third-party developers to submit a chatbot inclusion in Messenger. So, even if your resources are limited, you can still provide an excellent customer service level leveraging chatbots. Nice one, Facebook. 2. Twitter's Algorithmic feed Might Be Missing the Point Contentious, controversial, and borderline are some of the terms; users have chosen to describe Twitter algorithmically curated timelines. So, why's it cool? It's how Twitter's works out which tweets to promote first. Machine Learning technology Twitter's Artificial Intelligence evaluates your tweets in real-time and rates them according to various metrics and your individual preferences. Ultimately, it's all about increasing your usage time, so they choose the tweets most likely to drive engagements. Algorithmically curated feeds are a contentious issue. While the Twitter ML is highly innovative, you can't help but think it's missing the point, as users love Twitter for its spontaneity, or they thought they did! 3. Google – Dreaming Of Neural Networks Google's mission is to enable every business to have access to Machine Learning technology. And they're using their Neural Network (computing systems loosely based on the biological neural networks of an animal's brain) research to ensure it happens. Recent research that got everyone talking was Google's Deep Dream computer vision program (released in 2014) that uses their neural network to develop dream-like psychedelic images. But their research in this area goes much deeper. Google calls it "classic algorithms," and it reaches into virtually all aspects of machine learning, such as speech translation, language processing, breast cancer research, wind farm technology, and of course, predictive search ranking systems. Expect much more to come. 4. Yelp – Saying It With A Picture While other review sites have come and gone, has remained the reviewer's favorite. And now, they're reinforcing their position by incorporating machine learning into their platform. Their goal is to enhance the user's experience even further by improving its image processing capabilities. Yelp Its machine learning algorithms enable the company's human element, its staff, to use its picture classification technology to categorize and label millions of photos in a fraction of the time. Improving efficiency and helping businesses like yours; here's how: Yelp tells us that businesses with over ten photos on their page get a massive 12 times more monthly customer connections. Further-more you can use your images to show potential customers your business's personal side and highlight your USP, products, and services. Ultimately leading to an increased ROI, it doesn't get much cooler than that! 5. Tailor Brands – AI Designers at Your Fingertips Since arriving in 2014, has quickly become a champion for SME wanting to create or improve their logos. In 2018 Tailor brands took their platform to the next level by raising $15.5 million to grow and expand it with AI technology, the result being a platform that does far more than logos. Tailor Brands Their ML system now enables small businesses to create their entire branding strategy, from logos to websites, and even more importantly, a social media marketing tool kit. Tailor Brands uses machine learning to match logo designs, fonts, and colors with brands and their market place. You provide the platform with your relevant company and marketplace information. It uses its extensive and self-updating system to find and match what elements are proven to work for you. It's an excellent example of how AI can level the playing field and make products and services affordable to everyone. 6. Baidu – Deep Voice Technology is the Chinese equivalent to Google. They are also increasing their use of machine learning technology; one such development is their Deep voice technology that can create synthetic human voices using deep neural networks. Baidu Baidu's R&D lab Deep voice ML system can learn to replicate and reproduce the components that make up the human voice, such as accent, pitch, and pronunciation, in just three seconds. And apparently, it's almost impossible to distinguish from the real thing. The technology has the potential for improving virtual assistants like Alexa, Google Assistant, and Siri. It could have a massive impact on personalizing human-machine interfaces and the natural language processing systems used for voice search and voice recognition, along with numerous other uses, such as biometric security and real-time translation. However, the central area is healthcare, as Baidu claims it will help those who've lost their voice communicate again, and that's very cool. 7. HubSpot – Cleaning Up Your Data HubSpot bought the artificial intelligence and machine learning startup Kemvi back in 2017. The acquisition's focal point was its proprietary algorithm, DeepGraph, designed to equip salespeople with the tools required to improve relationships with prospective customers. HubSpot tells us it's all about Data cleanliness; let's look at the features and benefits: HubSpot's belief is the cleaner the data, the more-free time sales and marketing teams will have to do their job by converting leads into deals, and it, of course, makes perfect sense. It does it by identifying potential sales prospects and collecting their contact information. The CRM also locates new market segments, creates and sends emails, integrates with Outlook, Gmail, Salesforce, and other software, and follows up and nurtures potential prospect relationships until they're ready for contact by the salesperson. Now that's handy. 8. IBMs Watson's No Ordinary Butler IBM may be one of the oldest tech companies. Still, their highly renowned ML-based "Watson" natural language question and the answering system ensure they keep up with modern developments, and in turn, creating new revenue markets within healthcare. Watson's now used in medical centers and hospitals worldwide and helps physicians diagnose and treat potential symptoms by inputting the patient's data. It's also now being used within the retail sector to identify shoppers, provide recommendations, and alternative upsell options. As with all ML, Watson shows no signs of slowing down with its development. What was it Elon said about ML again?!

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