Verified company details
EXCOIN is a brand of the Czech company Excoin s.r.o., company identification number 29682223, registered at Uzbecká 1463/1, 101 00 Prague 10, Czech Republic. Our areas of work include custom software, fintech and trading systems, data integration, AI and application operations. Each area requires different design questions and different evidence that an outcome works. This site describes the offering and our engineering approach without unsupported claims about past client work.
You will not find invented references, client counts, team size or unsupported certification claims here. Such information is valuable evidence only when it is real, current and relevant to the problem at hand. When the underlying proof is not available, we prefer a useful explanation of the scenario and a clear account of what must be checked in a particular project. Accuracy matters more than impressive wording that cannot be substantiated.
Why the content starts with the problem
A digital product can be technically competent yet miss the need it was meant to address. An early list of screens often fails to reveal who makes manual corrections, how decisions are taken with incomplete data or what happens when a dependent service is unavailable. The EXCOIN articles therefore start with questions about goals, workflows, data sources and accountability. They are intended to help a reader prepare a better brief before choosing technology or a commercial model.
A well-defined problem also makes alternative routes visible. Custom development may be right for a differentiating process, but a standard capability can often be bought or integrated. An old system may not require a complete rewrite when a particular part can be changed safely. Generative AI may not be the best answer where documentation is poor or rules-based automation is sufficient. Compare those options by their outcome and long-term consequences rather than the appeal of their names.
Accountability after launch
Software lives longer than its first release. Rules change, new integrations appear and exceptions emerge that could not all be predicted. A sound design therefore includes a way to observe behavior, make safe changes and reverse a release if necessary. For data flows, we need a source of truth and a correction procedure. For user actions, we need to distinguish success, rejection and unknown status. For operations, someone must own incidents and know where recovery information lives.
These questions do not imply that every project needs elaborate infrastructure. A small application can be operated well with simple deployment, clear ownership and a backup that is actually tested. Complexity should follow concrete requirements. Security, accessibility and handover are part of the decision, not decorations that can be added without cost at the end. The public material describes these as a working framework, not a guarantee of results without understanding the assignment.
How we approach AI
AI can assist with information work, exploring options and automating repeatable tasks. Model output can nevertheless be wrong or unsuitable for the situation. A sensible process starts with the task, the quality of inputs, the cost of error and rules for when a person must intervene. Internal knowledge work also depends on permissions, source freshness and the ability to support an answer with evidence. A pilot should test those assumptions on real questions and measure value against the current process.
We distinguish between proposing, verifying and deciding when we use AI. A model can organize material or suggest alternatives, but significant claims need traceable sources and a person accountable for them. The same principle applies to a client solution: assess answer quality on real tasks, examine failures and define where human review belongs. Automation should make work faster without hiding uncertainty or handing consequential decisions to output that nobody can inspect.
What the site contains
Services explain the type of engineering work that may address a need and the limits of that work. Solutions start with an operating situation and bring several disciplines together. Guides are intended to help compare choices before an important decision. Articles examine narrower technical questions, examples and sources. The four layers complement each other: a useful question need not start with the correct service name, but it should lead to an informed next step.
Each language version should give the reader a useful text on its own. Localization is more than substituting words; terminology, examples and meaning must work in Czech, English and Spanish. Services, solutions, guides and technical articles connect through the question a reader is trying to answer. You can start with a situation, move to a detailed engineering analysis and then discuss a concrete brief with us.
Prepare a useful first conversation
An initial conversation does not need a large specification. Briefly describe who uses the present process, where it fails, which systems participate and what should change. Include known constraints such as sensitive data, availability needs, timing, internal capacity or reliance on another provider. You do not need to know the technical solution in advance. It is more useful to identify the question blocking the next decision and the person who can provide evidence to answer it.
For an initial conversation, use the form on the Contact page or the chat attached to the page. A brief account of the problem, current process and desired change is enough; do not include passwords or sensitive data. For a broad topic, start with one important question and we can identify which facts need checking. Company facts are kept distinct from general engineering principles so that claims about EXCOIN do not become confused with decisions that depend on your particular project.