Custom Artificial Intelligence and Machine Learning Services

Take a Step into the Future of Business with AI and Machine Learning

Artificial Intelligence and Machine Learning are two of the most critical drivers of innovative business opportunities today. These technologies are accelerating the evolution of processes, products, and services in virtually every industry and vertical in the world. And, with our help, you can leverage their full potential and seamlessly integrate them with your day-to-day operations. 

BairesDev hires the Top 1% of IT Talent in the region to provide the highest-quality software services in the market. Our goal is to help you understand and seize all of the high-value opportunities that AI and Machine Learning bring to the table. No matter the size or complexity of the project, we deliver custom-built technology solutions designed to exceed your expectations. 

Business AI

Our Services

We work with the Top 1% of IT Talent to deliver the highest-quality AI/ML solutions.

  • Custom AI-Driven Enterprise Solutions

    Access the full spectrum of artificial intelligence solutions with our enterprise services package. From personalized experiences and augmented operations to predictive models and collaborative intelligence, we deliver custom-built AI software designed to accelerate your company on the back of next-gen technology.

  • AI-Driven Processes

    Build a competitive advantage in your industry by integrating artificial intelligence and machine learning into your business processes. We design powerful systems focused on innovation, readiness, and outcome effectiveness. With AI-Driven Processes, your business will run on data-driven initiatives that generate value consistently and predictably.

  • Data Provisioning

    The best AI/ML systems have robust and scalable data infrastructures behind them. Implement a comprehensive data culture that covers all processes related to information management, including data collection, data mining, data creation, data aggregation, exploration, linguistic assets, and Natural Language Processing.

  • Machine Learning Models

    Design a custom Machine Learning model for your company or have your current implementation tested and assessed by the best AI and ML engineers in the industry. Our testing methodology guarantees the reliability and accuracy of your Machine Learning model via model testing, regional validation, testing with real-world target audiences, and performance reporting.

  • Deep Learning Technologies

    Augment the capabilities of your business, employees, products, services, and processes with cutting-edge technologies driven by AI. These include demand prediction, anomaly detection, fraud detection, medical diagnosis, face detection, object identification, optical character recognition, person tracking, augmented reality, voice recognition, text mining, sentiment analysis, and many others.

  • Human to Machine & Machine to Machine

    Automation is the future of business. We design, develop and implement custom human-to-machine and machine-to-machine AI solutions that create interactive, flexible, and secure automated processes. Interactive next-gen chatbots, digital assistants, voice recognition, intention recognition, and programmed decision making.

What Can Your Company Do With AI and Machine Learning?

A lot! Here are some of the highlights.

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    Natural Language Processing
    Process data from human language like never before.
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    Smart Assistants and Chatbots:
    Create efficient and engaging automated interactions.
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    Process Automation
    Use cutting-edge technology to maximize efficiency.
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    Smart Segmentation
    Identify and track data from customer segments automatically.
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    Smart Supply Chain
    Optimize and automate supply chain processes.
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    Software for Robotics
    Turn robots into smart robots with artificial intelligence.
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    Inventory Forecasting
    Accurately predict future inventory levels and requirements.
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    Computer Vision
    Gather complex sets of data from visual environments.
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    Recommendation Engines
    Predict and streamline the search experience of your users.
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    Predictive Monitoring
    Detect, raise flags, and prevent issues with smart monitoring.
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    Social Intelligence
    Add human-like behavior to augment AI capabilities.
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    Smart IoT
    Unleash the power of the Internet of Things with AI-driven datasets.

Our Process

This is how to transform the idea in your head into a reality


Understanding the Context

First of all, we analyze where your company is standing. The most important part of this stage is to understand the business and data requirements of the project and use them to list quantifiable goals and their consequent outcomes.

Data Engineering

With a clear picture of the context, we can begin collecting all internal and external data that is relevant to the AI implementation. This process implies curating, cleaning, and contextualizing the gathered information to build a comprehensive data lake.

AI Model Development

Now, the fun part. The AI model development starts with a Proof of Concept developed by our expert AI engineers. Our team will define the project scope, tech stack, implementation methodology, software architecture, tools, and quality assurance requirements.

AI Model Deployment

The first working version of the AI model will be deployed following the implementation methodology defined in the previous step. This will be the time to make any stabilization corrections, enhancements, and real-world testing.


After the initial deployment, we can begin to focus on the complete integration of the AI model and start the self-learning and self-improvement process. We provide continuous support on deployed models to guarantee the fulfillment of your project’s goals.

Frequently Asked Questions

Here are some FAQs on Artificial Intelligence and Machine Learning

A lot of people get these two confused, so here is the definitive answer: machine learning is a subset of artificial intelligence. AI involves all developments of technologies created to simulate human behavior. Machine learning is part of this, and what makes it unique is that ML algorithms are designed to automatically learn from past data and carry out actions that have not been programmed explicitly.

That depends on what your company is trying to achieve. Both are great technologies with unlimited potential and tons of use cases but, as established in the previous question, machine learning is a subset of artificial intelligence, so any ML project is also an AI project. By that logic, one could argue that AI is best, as it includes a wider range of technologies and implementations.

Broadly speaking, Machine Learning algorithms can be categorized into 3 types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Here’s a quick look at what each of these means. 

  • Supervised learning happens when we provide the machine with a ton of information about a case and its outcome, and we tell it whenever its results are correct—hence, all of the work done by the machine is supervised. 
  • Unsupervised learning is the opposite, as there is no help from AI engineers and the computer has to learn on its own. Unsupervised learning is extremely useful to recognize patterns in data, find anomalies, cluster problems, and help us make decisions. 
  • Reinforcement learning is probably the closest to how we as humans learn. In this case, the algorithm or the agent learns continually from its environment by interacting with it and gets a positive or a negative reward based on its action.

AI and Machine Learning are important to businesses because they are redefining the ways we all do business. Making use of these technologies has the potential to completely change how your company operates and how it relates to the customers, by harnessing the true power of data collection, data processing, automation, and all of the resulting insights. At this time, using AI and other cutting-edge technologies is defining which businesses become market leaders—and which are trying to catch up.

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