Artificial Intelligence (AI) & Machine Learning (ML) development services


Agile Dream Team develops transformative
AI and ML solutions for companies.

At Agile Dream Team, we help you leverage artificial intelligence (AI) and machine learning (ML) to transform raw data into actionable insights. Our AI implementation can also open the door to computer vision, anomaly detection, and natural language processing (NLP). We automate time-consuming processes to improve efficiency as well.

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Harness the power
of AI and ML with
Agile Dream Team

Our AI/ML experts rely on frameworks like LLMS, OpenAI, and LangChain to create effective tools for deep learning, machine learning, NLP, computer vision, and data visualization and reporting. We also make solutions for generative AI and process automation.


How you benefit from our AI/ML services

  • Piggy bank

    Our team of ML engineers and AI specialists brings a level of experience and expertise that your in-house team may lack. Our team has years of experience. We can handle complex jobs related to deep learning, NLP, and other challenges.

  • Piggy bank

    Agile Dream Team's AI/ML development services are cost-effective. You can avoid the expenses of recruiting and training talent. Our customized solutions are just as effective as you'll get from a welltrained in-house AI/ML team.

  • Shield
    Better security and compliance performance

    AI and ML tools rely on large amounts of data. Our AI/ML development pros have expertise in data privacy, security, and regulatory compliance. They ensure your tools meet the requirements of your industry. Also, we limit vulnerabilities in the system that could open the door to hackers.

  • Union
    Ongoing support
    and maintenance

    Agile Dream Team offers ongoing support and maintenance for our AI systems. In addition to updates, we assist you in continuous improvement and finding new ways to deploy your tools.


How we can help
for AI/ML solutions

We use cutting-edge AI/ML tools like, DataRobot, and Google AutoML to build and deploy AI and machine learning solutions for clients. Our Agile methodologies allow us to build and test simultaneously. We perfect algorithms for your specific needs.

Our expertise in different areas of AI helps us customize services to meet your requirements. If you need to receive fraud alerts, we can build and test an AI tool for anomaly detection. Our teams also have the tools and skills to create chatbots or autoresponders using NLP. Other solutions include testing and deploying automated forecasting and analytics software.

Our proficiency and continuous development/testing cycles will give you confidence in the results. We will also be transparent. This quality is especially important in AI. You won't have to worry about "black box" problems with us. We will lay out our plans and methods. You'll know how the applications work and what data they use.

Our services

Our team of engineers and experts has the tools and knowledge to handle complex AI and ML development projects.
Here is a closer look at these services:

  • AI AI development services
    • AI Consulting: Most projects start with strategic planning. We work with clients to understand their goals, identify opportunities, and create a comprehensive plan for AI integration.
    • Customized AI Tools: Our team designs and builds custom AI applications for everything, from fraud detection to automated data collection and forecasting.
    • AI Security and Compliance: We adapt your AI systems to meet legal requirements. In finance and healthcare, these include PCI and HIPAA rules, respectively. We audit and update systems to shield you from potential cyberattacks or compliance failures.
    • Industry-Specific AI: Our AI experts specialize in specific industries. These include (but aren't limited to) healthcare, finance, energy, and e-commerce. They offer AI solutions for the unique needs of those sectors.
  • ML ML development services
    • ML Consulting: Our machine learning experts can help you choose ML applications for your business. We work with you to define ML objectives, assess current data infrastructure, and make a plan for ML implementation.
    • Customized Machine Learning Models: Our ML team will design, develop, and train custom models for you. We handle tasks like data preprocessing, engineering customized features, algorithm selection, and testing.
    • Model Deployment and Integration: If you have fully developed ML applications, we can assist with deployment. We can test models alongside other IT tools and integrate them into your technology stack.
    • ML Maintenance and Support: We offer ongoing maintenance and support to ensure that ML models continue to perform and adapt to evolving data. We also ensure data security and compliance.

Why companies choose Agile Dream Team for AI/ML development services

  • Config
    Quality results

    We use Agile approaches like Scrum and SAFe to manage AI/ML development projects. These methods ensure functional and adaptable applications.

  • List
    Transparent planning and goals

    We offer transparent planning for each project. We'll tell you exactly what we plan to do and list benchmarks and deliverables so you can follow progress as we go.

  • Group
    A team of skilled professionals

    We have 200+ experts on our team. You'll work closely with ML engineers and AI experts. But if you need more assistance, we can also call on database or CloudOps experts.

  • Piggy Bank
    An efficient and cost-effective approach

    We use Agile methodologies to streamline our development processes. Each Agile sprint includes a testing phase. This step-by-step approach ensures end-to-end reliability. And we get these results quickly because of Agile's built-in efficiencies.

Ready to discuss your project?

You need an AI and ML partner who can listen to your needs and customize services to meet them.
Contact us to see how we can help you create applications for automation, forecasting, analytics, or NLP.

Get in touch

Technologies we use

  • LLMS AI frameworks like LLMS,
    OpenAI, and LangChain
  • Netacea Databases such as PostgreSQL, Elasticsearch, S3, MongoDB, and AWS Aurora
  • Jira PM tools like Jira, Confluence, Google Suite, ClickUp, and Looker Studio
  • Python Programming languages such as
    Python, Java, and Typescript
    • Apache Real-time data streaming tools
      from Kafka and RabbitMQ
    • Puppet Agile methodologies, including Agile Scrum, Kanban, XP, and SAFe
    • Trello Infrastructure tools like Docker, Kubernetes, Ansible, Chef, and Puppet

    Industries we serve

    Media & Telecommunications:

    NLP development helps with chatbots and autofill features, while AI can also inform personalized recommendations for streaming services.

    Technology & Startups:

    AI and ML can automate time-consuming processes, allowing new companies to work faster with fewer employees. These tools also limit human errors that could derail growth.


    E-commerce relies on AI for everything, from fraud detection to personalized
    marketing. If handling sensitive information, you need to ensure data security and privacy.


    Retailers can use AI applications for sales data collection and forecasting. They can
    also automate tasks related to inventory management and order.

    Financial Services:

    Financial services companies can use anomaly detection to prevent fraud. Also, they can rely on predictive analytics and forecasting to make informed decisions and strategic plans.

    Fintech Software Development:

    Fintech relies on AI, data analytics, cloud computing, and automation. These tools require functionality. However, you also need experts who can ensure security and compliance.


    AI helps doctors with diagnostics. Well-designed algorithms can find disease patterns invisible to the naked eye in diagnostic images. AI/ML tools can also help manage and automate healthcare data, records, and billing processes.

    Custom Healthcare Development:

    Agile Dream Team's AI experts create customized tools to meet the needs of medical specialists.

    Life Sciences:

    Researchers rely on modern embedded systems to collect data. AI helps analyze, find patterns, and forecast future trends.

    Healthcare App Development:

    Healthcare apps can use ML to train themselves to make more accurate diagnoses. Meanwhile, AI can detect unusual activity to protect user data in compliance with HIPAA regulations.


    The energy sector relies on AI and machine learning to improve efficiency. The industry also produces data that algorithms can use to assess performance and find areas for improvement.

    Oil & Gas:

    Advanced analytics, sensors, and automated processes need modernized platforms. Companies often need experts to design and deploy these systems.


    Agile Dream Team's pathway to success

    For our AI/ML design and development services, we use proven pathways to ensure we provide personalized service.

    • DNA

      First, we assess your current systems and find areas for improvement. Also, we talk to you about your goals and technical requirements.

    • Ballot

      Next, we build a development strategy and choose the right Agile framework for the project. We are always transparent about our plans. Before we write the first line of code, we list benchmarks and deliverables for you.

    • Bulb

      We select the best tools and technology for the job. Then, we deploy experts who have experience with the AI/ML applications you need.

    • Chart user

      We keep clients updated throughout the development process. The short sprints in Agile allow us to provide regular updates about progress.

    • Stats

      We deliver finished applications according to the agreed-upon goals. Once finished, we assist with deployment. If needed, we can return to update and maintain your AI/ML systems.


    Our achievements

    Industry organizations have recognized Agile Dream Team for our quality work and skills in AI and machine
    learning. We also have awards for our mastery of Agile methodologies. Here is a look at this recognition:

    • Certificate - SAFe 6 Product Owner Product Manager
    • Certificate - SAFe® 5 Agilist
    • Certificate  SAFe® Release Train Enginee
    • Certificate - IBM - Enterprise Design Thinking - Practitioner
    • Certificate - PMI Agile Certified Practitioner
    • Certificate - Scrum Alliance Certified ScrumMaster
    • Partner logo - Scaled Agile, Inc - Scaled agile partner - Bronze
    Circle circle

    Get in touch

    If you need to upgrade your AI to cut costs, improve efficiency, and make better decisions, Agile Dream Team has you covered. Contact us today to tell us about your needs. You can fill out our callback form. We'll get back to you with a cost-effective plan for adding, upgrading, or deploying AI and ML in your business.

    Get in touch

    If you need to upgrade your AI to cut costs, improve efficiency, and make better decisions, Agile Dream Team has you covered. Contact us today to tell us about your needs. You can fill out our callback form. We'll get back to you with a cost-effective plan for adding, upgrading, or deploying AI and ML in your business.

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      • What's the difference between AI and ML?

        AI is the broader field focused on mimicking human intelligence. ML is a specific approach within AI that relies on data-driven learning algorithms. It offers increasingly accurate, human-like problemsolving.

      • How do you train a machine learning system?

        Training involves giving an ML model lots of data. The information allows it to learn patterns and relationships. The model uses this information to make predictions or define trends.

      • What programming language does AI/ML use?

        AI programmers use standard computer languages like Python. They also rely on open-source libraries like TensorFlow. Knowledge of frameworks like LLMS, OpenAI, and LangChain is also essential.

      • What are some common uses for AI and ML?

        AI and ML applications include natural language processing, generative AI, computer vision, behavior analytics, fraud detection, and forecasting.

      • How can you secure data used in AI models?

        You can use encryption, access controls, and secure storage to safeguard sensitive data. You can also consider privacy-preserving techniques to anonymize personally identifiable information (PII).