Dedicated AI

Sometimes it is not easy to find a ready-made automation and AI solution that meets all the requirements and expectations. In this case, you may need to create an AI solution from scratch. This service is aimed at companies and organizations that want to build their own systems - whether you want to create one for business, medicine, education, entertainment or something else

Do you want to create your own system based on artificial intelligence (AI) and machine learning (ML)?

We will help you accomplish this task quickly and cost-effectively. We have many years of experience in the development and implementation of this type of solutions and we offer our clients access to qualified specialists in this area who will help advise on which AI and ML technologies they should bet on and prototype the planned solutions. So you can quickly verify your ideas and create cutting-edge software based on AI and ML algorithms.

See where AI can help you?

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Increase your revenue
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Improving sales and marketing
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Better customer service
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Speeding up the product development process
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Streamlining the production process
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Shortening the recruitment process
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Different AI systems may have different goals, applications, and deployment methods. What unites them is a coherent and clear creation process that we have mastered to perfection. In five steps, we'll walk you through the process of creating artificial intelligence from scratch:

  • Together we will define the problem and objectives. The first step is to determine what problem you want to solve with AI and what kind of AI system you want to build. For example, do you want to create a chatbot, recommendation system, facial recognition system, or something else? What are the inputs and outputs of an AI system? What are the success criteria and evaluation indicators of an AI system?
  • Data collection and pre-processing. The second step is to collect the data that the AI system will use to learn and perform its tasks. Depending on the problem area, you may need to collect data from a variety of sources, such as websites, databases, sensors, or user feedback. It is also necessary to pre-process the data to make it suitable for the development of artificial intelligence, such as cleaning, labeling, transforming or extending data.
  • Choosing the right tools and platforms. The third step is to choose the tools and platforms that will help you develop an artificial intelligence system. This includes choosing a programming language, framework, library or platform that suits your needs and preferences. For example, you can use Python, R, Java, or C++ as a programming language; TensorFlow, PyTorch, Keras, or Scikit-learn as a framework or library; or Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Watson as a cloud platform.
  • Development of AI models. The fourth step is to create AI models that will enable the AI system to perform its tasks. This involves choosing the right algorithm or technique for a given problem, such as machine learning or deep learning. Machine learning is a branch of artificial intelligence that allows computers to learn from data without explicit programming. Deep learning is a subset of machine learning that uses neural networks to learn from complex and multidimensional data. AI models should also be trained and evaluated using collected and pre-processed data. ‍
  • Implementation and monitoring of the AI system. The fifth step is to deploy the AI system in the real world and monitor its performance and behavior. This involves the integration of the AI system with other systems or applications, such as web servers, mobile applications or IoT devices. You should also ensure that the AI system is reliable, secure, ethical, and scalable. It may be necessary to update or improve the AI system based on user feedback or new data.

We will realize your unique ideas

If you are interested in our services or want to know more about them, please contact us. We will be happy to answer all your questions and offer a free consultation and an individual quote.

Take the first step towards automation and AI - contact us and find out what else we can do for you

Build your own AI from the ground up

See where AI can help you?

Increase your revenue

AI can increase revenue by providing customers with personalized product recommendations based on their preferences, behaviors, and feedback. AI can also help optimize price and inventory management by analyzing demand, supply, and market conditions.

Better customer service

AI can improve customer service by automating repetitive tasks such as answering frequently asked questions, booking appointments, or processing orders. AI can also help provide faster and more consistent customer experience with chatbots, voice assistants, or sentiment analysis.

Streamlining the production process

AI can streamline the production process by helping to automate production, monitor quality, and detect defects. AI can also help reduce waste, energy consumption and environmental impact through the use of intelligent sensors and predictive analytics.

Improving sales and marketing

AI can improve sales and marketing by generating valuable insights from customer data such as their needs, ailments, interests, and satisfaction. AI can also help you create engaging and relevant content for your target audience, such as blog posts, social media posts, emails, and ads.

Accelerate the product development process

AI can streamline the product development process by helping to generate new ideas, test prototypes, and verify feedback. AI can also help you optimize product features, design, and performance using data-driven methods and tools.

Shortening the recruitment process

Artificial intelligence can streamline the recruitment process by helping you find and attract qualified candidates, check resumes, and conduct interviews. AI can also help reduce bias, improve diversity, and increase employee engagement through the use of data-driven assessments and feedback.

We always analyze your idea first!

Sometimes AI projects fail

and we're not pretending otherwise. AI projects usually fail due to poorly defined goals, lack of data, and insufficient resources. If we notice that in your case AI does not make sense, we will reject the project and tell you about it openly. Instead of promising the moon, we will advise you where in your company AI has the potential for a better return on investment.

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Ready to take off?

Stop just thinking about automation and artificial intelligence and take the first step - contact us! This will help you answer the most important questions and discover how automation and artificial intelligence can support the work of your company.

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Click Here, fill out the form, schedule an interview or email us. Describe your idea and our specialists will contact you within 24 hours.

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