AI/ML Software Consulting and Development      AI Proof of Concept

Transform Your Brave Ideas into Reality

AI/ML Proof of Concept Development

Innovation starts with an idea. At Altamira, we specialise in turning your AI concepts into concrete realities through our Artificial Intelligence and Machine Learning Proof of Concept development services. Whether you have a visionary AI/ML concept in mind or need to validate the feasibility of a new AI/ML project, we have the expertise and resources to bring your ideas to life.

AI/ML PoC to quickly validate ideas and decrease expense

Minimising the risk of investment for AI/ML-powered projects is crucial, as sometimes the success of the outcome might be unpredictable. Proof of Concepts is a simple way to test out your ideas’ viability without significantly disturbing your budget.

We start our journey by translating your ideas into technical solutions and a viable prototype to assess the potential and feasibility of the initial stages of the development process.

Proof of Concept development services

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AI/ML Proof of Concept development stages

Business goals definition

Once we have a thorough understanding of the business goals we aim to achieve and the challenges we may encounter along the way, we can effectively translate these ideas into a technically viable solution.

PoC goals and targets

A Proof of Concept (PoC) should have a precisely defined scope, clear targets, and well-defined goals. Setting realistic expectations is crucial, as it plays a pivotal role in achieving the pre-defined objectives.

Solution architecture

Our approach to solution architecture is oriented towards scalability and extensibility, given the strong possibility that the Proof of Concept (PoC) may seamlessly transition into MVP development.

Development and deployment

Throughout the development stage, we adhere to the well-established Scrum methodology. This approach enables us to deliver tangible results quickly while maintaining transparency and adaptability.

Post-PoC phase helps decide about the future of the project

What are the next steps once AI/ML Proof of Concept is accomplished?

01 Results evaluation

02 Business case validation

03 MVP development

04 Continuous development roadmap

Carefully assess the results and findings of the PoC to determine whether it meets the intended objectives and provides the expected value.

Build a robust business case that justifies further investment in AI/ML. This includes outlining the potential benefits, ROI, and a clear understanding of how AI/ML can address specific business challenges.

If the PoC is promising, we proceed to develop a Minimum Viable Product (MVP). The MVP is a more comprehensive version of the AI solution that can be tested with a larger audience.

Product/project development roadmap takes into account various aspects of your business nuances and the project goals. We always think about:

  • Scalability
  • Data management
  • Regulatory compliance
  • User insights

What challenges do we solve?

  • Feasibility testing

    Before committing substantial resources, an AI/ML PoC help determine whether a proposed solution is technically and practically feasible within the existing IT infrastructure and business model.

  • Value demonstration

    A PoC allows you to learn the potential value and return on investment of AI/ML projects to stakeholders and decision-makers.

  • Technology assessment

    We help you evaluate different AI/ML technologies, tools, and platforms to determine which best meets your needs.

  • Skills evaluation

    Assess the readiness of your current team to handle AI/ML projects, identifying gaps in skills and knowledge that need to be filled either through hiring or training.

  • Market response testing

    Test how the market responds to the new technology, providing insights into user engagement and acceptance.

  • Integration challenges

    Understand the integration process of AI/ML technologies with your existing systems and workflows and plan the integration strategies in a controlled manner.

  • Scalability testing

    Reveal scalability issues and performance bottlenecks that may not be apparent during the conceptual phase but are necessary for the success of full-scale implementations.

Take the next step

Let’s treat the core problems, not symptoms.

Estimate my project

Receive a personalised project estimate and take the first step towards bringing your idea to life.

Discover success stories

Explore our case studies and find out how we have helped some of our clients from around the world.

Our solutions fit every need

For startups

AI/ML PoCs allow startups to experiment with emerging technologies without substantial investment, providing a competitive edge in their respective markets.

  • Attract funding by showcasing the potential of the technology to investors
  • Minimise the financial risk associated with developing new technologies by validating concepts before committing significant resources
  • Gauge market interest and acceptance of a new AI/ML-driven product or service, reducing market entry risks

  • For small and medium-sized businesses

    Explore AI/ML opportunities in a manageable and cost-effective way, ensuring that the technology aligns with your business objectives without disrupting operations.

  • Implement AI/ML solutions in a controlled, step-by-step approach, ensuring alignment with long-term business strategies
  • Identify and deploy AI/ML solutions that can improve operational efficiencies, such as automating routine tasks or optimising logistics
  • Evaluate potential risks in a low-stakes environment to ensure smooth integration of AI/ML solutions into existing systems

  • For enterprises

    Make informed decisions about integrating AI/ML solutions across various departments and global markets.

  • Address compliance and security concerns specific to industries and regions before full-scale deployment
  • Maximise the use of existing data assets by deploying AI/ML models that can extract valuable insights, enhancing decision-making processes
  • Deliver personalised customer experiences through targeted AI/ML applications, improving customer satisfaction and retention

  • Discover why customers choose Altamira

    Altamira produced superlative deliverables that provide valuable information to guide internal operations and support sales processes. The team was receptive to feedback, adapting resources to ensure effective collaboration.


    Ryan Crawford


    Custom-made ERP solution that provides jet brokerage services to boost jet sales and service quality.

    Services we provided

    • Web Application
    • UI/UX Design
    Communication was excellent and my original idea became real thanks to the brilliant work of Business Analysts and Project Managers. Their prompts were always on time, hence there were no misunderstandings in the process. I am absolutely satisfied with how my app looks and functions. It is exactly what I wanted to get when I decided to go with this team.

    CEO & Co-founder, Aquiline Drones

    Barry Alexander


    Android and iOS native applications that provide on-demand drone services, where users can connect with couriers and track the status of their drone order delivery.

    Services we provided

    • Mobile Application Development
    • UX/UI Design
    At first, I felt hesitant about trusting such a complex project to outsource developers. But, fortunately, my concerns appeared to be absolutely unfounded. Altamira team did amazing job! And I was pleasantly surprised by how well-established processes they have.

    CTO, Ticker Tocker

    Jonathan Kopnic


    Web, iOS, and Android trading platform that offers advanced capabilities in earning by trading, selling products via the integrated marketplace, and conducting trading live-streaming.

    Services we provided

    • Discovery
    • Tech Vendor Audit
    • Web and Mobile Application Development
    The team’s communication practices made for a rapid yet stable exchange of information, allowing for the quick resolution of all issues that arose during development.

    IT Solution Team Leader

    Dusan Barus


    Unique mobile solution that automates the process of uploading, transferring, documenting, numbering, and downloading pictures.

    Services we provided

    • Web Application Development
    • UX/UI Design
    It has been an absolute pleasure working with the team at Altamira. We have never been blocked or impeded by their work. They operate efficiently and quickly to get the job done.

    CEO, CTRL Golf

    Ian Cash


    Unique mobile application that aims to teach users to play golf according to individual playing styles and recommendations provided by specifically developed algorithms.

    Services we provided

    • Discovery
    • Mobile Application Development
    • UX/UI Design
    Altamira helped us to shape the future of music by launching our disruptive publishing tool scodo. What I appreciate most in working with them is their incredibly structured approach while keeping a strong focus on reaching our project’s goals. And of course all of that paired with highly talented and likeable people across the board.

    Head of Services, Universal Edition

    Entertainment & Media

    Electronic document delivery ecosystem development for music publishing.

    Services we provided

    • Web application development
    • Software Development

    People also asked

    What is a Proof of Concept for an AI project?

    A Proof of Concept or PoC in an AI project refers to testing the feasibility of an Artificial Intelligence idea or concept. The goal is to prove the performance of the concept in a real-world scenario before committing to a full-scale project development. Contact us to learn more about the AI proof of concept development for your business.

    What is a PoC in Generative AI?

    In the context of generative AI, a PoC is an experimental setup where a generative model is developed to test its capabilities in creating new content or data. This pilot project can include tasks like generating realistic images, texts, or sounds. The PoC in generative AI is a key to understanding the creative limits and practical applications of the generative model. To demonstrate the feasibility and potential impact of your new project, we offer to develop an AI proof of concept. Contact us to learn more.

    What is PoC in Machine Learning?

    PoC in Machine Learning refers to an early stage of the development process aimed to prove the ML algorithm can effectively learn from data and make predictions or decisions as intended. This step is inevitable for gauging the viability of the ML approach before it’s developed further. Our team diligently consults and works on developing a proof of concept for machine learning to validate the innovative algorithm’s effectiveness for your business.

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