Best Artificial Intelligence Companies by 2019 Ratings

  1. FugenX

    FuGenX is pioneered in bringing innovative products and ideas into Digital Space with high quality. FuGenX helps clients in identifying both risks and opportunities that address both short-term challenges as well as long-term value creation. FuGenX provides full project management support for a spectrum of IT projects from pre-concept to ongoing strategic promotion and evaluation.
  2. Tamr

    Tamr simplifies and automates data preparation for procurement analytics, customer data integration and other business problems, so organizations can get to business insights faster. The Tamr platf...
  3. Geniusee

    We are software development company Geniuseethat canhelpyou tospeed up the development processby organizing offshore software development team or develop any custom unique software products that can generate significant value for your business.
  4. NubesLab

    The Nubeslab team is home to industry leaders who uphold our commitment to innovation, quality, and sustainability. Whether a business has domestic or international aspirations, Nubeslab can help you to unlock your potential for growth through IT consulting with an emphasis on Operational Model Effectiveness. Based in Malaysia we provide services across the globe. Discover our services to get to know more about us.
  5. Twyla AI

    We provide seamless, immediate and relevant customer support, while lowering the number of support tickets and the cost of running your support team. Twyla integrates with existing helpdesk solutions, like Liveperson, Zendesk, Salesforce Servicecloud, etc... so you don't need new software begin operating at a higher level. Customer support, Customer service, Support chat, and Mobile customer service
  6. Singular Intelligence Ltd

    Based at Canary Wharf, London. Singular Intelligence Ltd provides industry specific SaaS solutions based upon SiDax technology packaged to be: Easy to adopt- Intuitive to use- Self Improving-Non disruptive. Augments legacy IT Investments- Supports the tools you prefer Model the future- monitor the present - learn from the past. Lets you consider more data, more rapidly & in greater detail
  7. Enterprise Bot

    Our solution drastically reduces contact center costs and enhances customer satisfaction. Chat Bot Development, Artificial Intelligence, Natural Language Processing, and Financial Solutions
  8. Dresslife

    Dresslife makes shopping for fashion as easy as having your own personal stylist by finding clothing that customers like and fit. We don’t require manual stylists, therefore, offer the service-on-demand in any e-commerce store. Our fashion specific artificial intelligence platform integrates human community feedback and analyzes customers across several layers. Thus, you are provided with unparalleled recommendation accuracy despite the shorter product lifecycle and complexity of human body.
  9. Amesto AccountHouse AS

    The Amesto Group is a Nordic company with over 1,000 employees. Amesto is part of The Spabo Group, owned by the Spandow family in Norway, with an annual turnover of 127 million Euros. Regardless of whether you need a new business management system, new staff, translation work, or help with your accounts, payroll and HR, we can help you.
  10. Anasup Consulting

    We deal with emerging technologies = Blockchain, IOT, Cybersecurity, AI, Cloud computing, Data analytics, Information Security audits
  11. Predictive Layer

    With Automated Machine Learning & Open-Data access, Predictive Layer delivers 'Prediction as a Service' to Energy, Utilities, Industry, Retail, Catering, Transport, Smartcities sectors.
  12. Proekspert

    We focus on giving our customers a strong competitive edge by testing new business ideas quickly while tackling the possible risks, and also taking responsibility for the whole product development process. In each phase of the collaboration our designers, technology experts, and data scientists challenge the established thinking, involve customers at every step and ensure the success of the products we develop.

How Much Does Artificial Intelligence Cost?

AI technology is a broad category that encompasses a number of different types of tools, as well as degrees of sophistication. A very complex AI system is undoubtedly going to cost more to create and implement than a simpler one. That said, artificial intelligence doesn’t cost a fortune, especially with more and more companies dedicating themselves to creating AI solutions. The increased competition in this industry has helped make these systems more affordable.

On average, you can expect to spend between $100,000 to $300,000 for an AI tool. Again, this price range fluctuates based on a number of factors. You could spend as little as $5,000 to $15,000 for a simple chatbot service. But, more customizable AI solutions will generate a much higher price tag. You could spend over $50,000 just for a rudimentary prototype.

Things To Consider When Hiring An Artificial Intelligence Company

On the surface, artificial intelligence is a fairly simple idea to understand. However, once you start digging deeper, there are much more complex, tech-heavy concepts involved. This can make hiring the right AI company difficult. You may not fully understand exactly what it is involved in the process or which questions to ask.

Here are a few things you’ll want to ask and discuss with a possible candidate:

  • What types of AI tools does the company specialize in?
  • Has this company, or AI engineer, worked on projects with needs or an end product similar to yours?
  • In order to use and implement the AI technology, do you need to invest in any software or tools?
  • How is the price of AI services justified?
  • What are the stages of development and what are the costs associated with each step?
  • What sort of schedule can be expected for each stage of the development process?
  • After the AI solution is developed, is there any ongoing maintenance or troubleshooting provided? What are these costs?

Ideally, after interviewing an AI company, you’ll have a full understanding of what their unique expertise is, how much the project will cost, a timeline and if there are any other factors you need to consider.

What To Expect When Working With An AI Developer

Developing an AI product or tool is done in phases. By exploring each of these phases, you’ll be much better prepared for the process and have a fuller understanding of what to expect when working with these types of companies and building an AI system.

The process can be broken down into four stages:

  • Discovery & Analysis: This is the preliminary stage where you’ll discuss the purpose of the AI system, what expectations you have, develop a timeline, understand if the concept is viable or not and much more. This stage can take a week or longer, depending on the scope of the project.
  • Prototype: The AI company will create a prototype that will further test the viability of your artificial intelligence system and give you a clearer understanding of what it may look like and how it will operate. Prototypes may be simple text and drawings outlining how the product will work. More sophisticated AI companies, however, may have application simulation programs that will generate a much clearer prototype.
  • Minimum Viable Product: After the prototype is approved, the company will begin developing the foundation for your AI tool and ultimately create a minimum viable product. This will have all of the features and most of the capabilities promised, but in a more simplified form. The MVP allows you to test the system, even put it in the hands of real customers, and gain feedback.
  • Final Version Release: With the testing and feedback created through the MVP, the developers can make any adjustments and implement fixes to push the product to its finished form.

Ideally, after interviewing an AI company, you’ll have a full understanding of what their unique expertise is, how much the project will cost, a timeline and if there are any other factors you need to consider.

What Are The Types Of Artificial Intelligence

AI technology manifests itself in many different ways and products on the market today. You may be interacting with an AI system and not even realize it.

Virtual Personal Assistants

Siri, Cortana, Alexa and other VPA programs are all AI systems. Not only are they programmed on how to respond to requests and interact with users, but they also have the ability to learn based on past interactions.

Chatbots

Similar to VPA systems, chatbots are another example of AI that use past interactions with customers to improve their ability to service requests.

Predictive Analytics Models

Businesses often rely on analytics tools to make sense of the mass volumes of data that they create. Intelligent analytics tools have the ability to predict trends and alert business owners when they detect issues.

Recommendation Algorithms

We see this on a lot of e-commerce websites, where the business is able to recommend products based on your past searches or purchases. These aren’t just guesses, but rather the workings of an AI algorithm that uses data from other consumers and transactions to make these choices. We also see this with social media sites and how they govern what content to populate our news feeds.

What Are The Common Myths Of AI?

Myth: AI will replace human jobs: AI tools are meant to work with human users, not in place of them.

Myth: AI is only for companies with big wallets: There are inexpensive AI solutions that even a small business owner can afford and implement.

Myth: Artificial intelligence is destined to take over the world: You’re watching too many science fiction movies.

What’s The Difference Between AI and Machine Learning?

It’s rare to see a modern conversation about artificial intelligence that doesn’t include the term, “machine learning.” Are the two concepts interchangeable? Not quite. AI is a much broader concept. Essentially, if a computer system is able to behave in a way that we feel requires a human brain, then we consider it artificial intelligence. Machine learning, on the other hand, deals with developing algorithms that allow a system to improve and “learn” based on experiences. Machine learning leads to artificial intelligence, which is why the terms are often confused for one another.

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Most Popular 'Artificial intelligence' companies