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.
Clarify the goal
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.
Rapid prototype
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.
Real Data Testing
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.
Show and tell
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.
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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
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 and Business 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 and business 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.
Case studies
Every successful AI solution starts with a validated idea. Schedule your no-obligation consultation today.