Reduce Risk
A PoC saves you from investing large resources in the wrong direction. We quickly test the feasibility so you fail fast or succeed early – either way, you learn what works.
In AI, big ideas often carry big risks. An AI Proof of Concept is like a test drive for your idea – a short project where we build a small-scale version of your AI solution to prove it can deliver value.
In just a few weeks, you'll understand if your concept is technically feasible, valuable, and worth scaling. It's the safest way to embark on your AI journey: think big, start small, and move fast.
When we say “custom”, we mean it. Your project isn’t handed to a generic delivery pipeline – we assemble a dedicated team that learns the ins and outs of your business challenge. We have you covered from the first brainstorming workshop to the moment the solution goes live (and beyond).
We ensure the solution is yours – custom-made, owned by you, and designed to create lasting value.
We follow a focused methodology designed for speed and clarity. This ensures we test your core assumptions quickly and provide actionable results.
We start with a kickoff workshop to clarify your idea, success criteria, and data sources. Together, we set a clear goal: what question must the PoC answer? We also identify any needed technical setup or data preparation upfront.
Next, our engineers and data scientists quickly build the core of the solution. Using agile methods, we might develop a simple model, a snippet of code, or a demo app – whatever form answers the question.
A PoC must be grounded in reality. We test our prototype with real (or realistically simulated) data from your business. This stage reveals the true potential – and any bottlenecks. We often discover insights about your data quality or system integration needs, which is exactly why doing a PoC is so useful.
Finally, we present you with the results. We provide both report and a live demo. You can see the AI in action – whether it’s a dashboard, an app, or a prediction output. We’ll give honest recommendations – if the PoC indicates strong potential, we outline a path to scale it up. If not, we’ll suggest tweaks or alternate approaches.
You have in hand a prototype and results. We sit down with you to interpret them. If the PoC met or exceeded expectations, we’ll discuss how to transition to a full-scale project (see our Custom AI/ML Development service). If results were below the target, we’ll analyze why: maybe the data was insufficient or the model needs tweaking. In some cases, a second PoC iteration might be worthwhile. In others, it might save you money to pivot to a different approach entirely – that’s a win too, because the PoC prevented a costly misstep.
We ensure all the learnings are documented and handed over. Everything we built is yours to keep. Some clients use the PoC assets to secure internal buy-in or budget for the next phase – we’re happy to support that by presenting the findings to your stakeholders alongside you.
Prove your AI idea’s value quickly and cost-effectively, ensuring your resources are invested only in the most promising solutions.
Reduce Risk
A PoC saves you from investing large resources in the wrong direction. We quickly test the feasibility so you fail fast or succeed early – either way, you learn what works.
Fast Insights
In just weeks, you get data-driven evidence. No lengthy projects or guesswork – rapid results help you make swift, informed decisions.
Stakeholder Buy-In
Seeing is believing. A tangible demo or report helps you convince management and stakeholders about an AI initiative’s potential value.
Roadmap for Scaling
Along with the prototype, Codya provides a roadmap. You’ll know what to do next – whether that’s refining the model or moving to full deployment – with lessons learned during the PoC.
Cost Optimization
Investing in artificial intelligence can be costly. Starting your project with AI PoC development helps identify the best technologies and use cases, minimizing costs and maximizing ROI.
Technical Validation
Verify technical feasibility early. A PoC demonstrates if the chosen technology can solve your core problem and identifies potential hurdles before major investment.
Codya combines the technical rigor of top AI consultancies with the personal, tailored approach of a boutique team. In a Proof of Concept project, you need a partner who is agile, attentive, and invested in your success.
One thing that sets Codya apart is how we communicate during this journey. We keep things transparent and collaborative. You’ll get updates at least weekly, and we welcome your input. Our team is “direct and friendly” –if an assumption isn’t holding up, you’ll hear it from us right away, along with our plan to address it.
By choosing Codya, you get a team that’s big enough to deliver, and small enough to care. We celebrate the excitement of innovation with you, but we also share the responsibility of results.

Working Prototype or Demonstrable Demo
A fully functional prototype tailored specifically to address your core question—this could include a small app, actionable model predictions, or a compelling visual demonstration clearly proving your concept in action.
Technical Feasibility Assessment
A thorough evaluation documenting the results of your Proof of Concept. We clearly outline the value demonstrated, highlight any discovered limitations, and offer expert insight on the technical viability.
Comprehensive Data Quality & Suitability Check
An in-depth analysis of your data to evaluate its adequacy for achieving your goals. You'll receive clear guidance on whether your data is sufficient, or recommendations on additional data sources to improve the quality and reliability of your results.
Clear Roadmap for Next Steps
A detailed roadmap outlining the next steps, including architectural requirements, timelines, and budget estimates for viable concepts. If adjustments are needed, we provide transparent guidance on potential pivots or strategic recommendations to support confident decision-making.

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Together with Codya we have delivered successfully a handful of projects within data mining and AI areas. First and foremost, I value the Codya’s team attention to details and the push for common understanding of project’s scope. Practical approach with short design iterations, onboarding UX early and deep understanding of the client’s problem are definitely a recipe for success.
Head of R&D at R&D Basler Poland

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It was great working with Codya on the KYC software project. They proactively come up with possible solution designs or improvements to requirements. Communication and responsiveness with the team were always excellent. I can highly recommend working with the Codya Team.
Senior Business Consultant at CRIF

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Working with Codya is a gamechanger: their proactive approach, constant stream of fresh ideas, and willingness to challenge assumptions led to consistently productive collaborations!
Product Group Architect at Basler AG

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The Codya team put a lot of effort into developing a user-friendly application for us. The development process went smoothly and according to plan. They handled everything from gathering requirements to deployment seamlessly. Due to the excellent level of service we received, we felt like significant clients.
Co-founder & Enterprise Director at Lekta AI

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Our collaboration with Codya was defined by their exceptional flexibility and professionalism. The team consistently brought fresh ideas and constructive input, making the partnership both effective and enjoyable. We genuinely appreciated the open communication, the friendly and engaged attitude of everyone involved, and the team's highly self-organized and reliable way of working.
Systems Engineer at Basler AG
Transparent fixed-price sprints delivering comprehensive AI Proof of Concept development from workshop to working prototype with full documentation and roadmap.
An AI PoC is a short, focused project designed to act as a "test drive" for your AI idea. We build a small-scale version of your proposed AI solution to prove that it is technically feasible, can deliver business value, and is worth scaling into a full-fledged project.
It's the most effective way to test a concept with minimal risk before you invest in a full-scale implementation.
You can learn more in our article: How to safely start your AI journey with Proof of Concept.
The duration of PoC mainly depends on the complexity of the problem, the quality and availability of data, and the scope of the prototype itself.
At Codya, such a project typically lasts between 2 and 6 weeks, allowing for quick verification of an idea with minimal risk.
Yes, an idea is the perfect starting point. Before we begin a Proof of Concept, we organize a collaborative workshop to understand your business challenge, define success criteria, and outline the resources needed for implementation — including data, technology, and key stakeholders. Our process starts with an initial consultation and needs assessment, so you don’t need anything more than your concept to begin.
While testing with your real business data delivers the most accurate insights, it’s not always required. We can also validate early prototypes using realistically simulated or anonymized datasets. As part of our PoC process, we perform a data suitability check to assess the quality and availability of your data — and, if needed, recommend additional sources or preprocessing steps to ensure meaningful results.
Any data-driven industry can benefit from an AI Proof of Concept to accelerate innovation and improve efficiency. However, some sectors are especially well-suited for high-impact AI applications, including:
Data security and compliance are fundamental to our work. We handle your data with the highest level of care, strictly adhering to industry standards and regulations. This means implementing encryption, secure storage, and strict access controls to protect your information throughout the PoC process.
Our teams operate with transparency and accountability, ensuring that only authorized personnel can access sensitive data. We also conduct regular security reviews to maintain the highest level of protection. Any use of third-party AI services is carefully evaluated to ensure your data privacy remains fully protected and aligned with your compliance requirements.
The transition is a collaborative process. After presenting the PoC results, we sit down with you to interpret the findings. If the PoC is successful, the deliverable roadmap provides a clear plan to transition to a full-scale AI/ML project. All learnings and assets from the PoC are handed over to you, which can be used to secure internal support for the production phase.
This stage also serves as the ideal foundation for moving into our Custom AI/ML Solutions, where we partner with you to design, deploy, and manage a fully operational, production-ready AI system.
Every successful AI solution starts with a validated idea. Schedule your no-obligation consultation today.
