Custom applications
An internal tool, a customer portal or a new digital product. We design and build applications around your processes and the people who will use them.
A tool that fits your work, with room to evolve.
From architecture to software you can rely on.
We build custom applications, connect your tools and bring AI into your business processes. With thoughtful architecture that gives you room to grow.
From the first design to deployment.
Architecture, development and integration, working together.
We connect AI to selected knowledge and tools. Permissions, quality validation and human oversight of important steps are part of the design.
You enter the same data more than once. Search for information across applications. Or need a tool for a process unique to your business.
We start where it makes the most sense for you.
An internal tool, a customer portal or a new digital product. We design and build applications around your processes and the people who will use them.
A tool that fits your work, with room to evolve.
We connect your tools so they can exchange orders, customer records or billing information, with attention to application capabilities and transfer monitoring.
Less retyping. Visibility into whether data reached the right place.
We bring AI into the systems you already use. We design RAG over company documents, assistants and automated workflows — from validating value to integration.
AI with access to the right information, clear permissions and output validation.
When your current software no longer meets your needs, we identify why and plan the next steps: what to retain, connect and change to support your plans.
A clear modernisation plan, broken down into manageable steps.
We connect applications, data and operations. We design solutions for automation, process coordination and the development of digital services.
Orders, warehouse applications and automated equipment.
We design integration services that connect order flows with warehouse automation, supported by operator applications and links between systems.
Multi-step operations, reservations and dependent tasks.
We build software that manages processes across services or devices. Each step has its conditions, state and rules for moving forward.
E-commerce, catalogues and business applications.
We modernise backends and design search around how your customers and employees use your offering and data.
We help you put AI to work in everyday operations. We design how it fits into your architecture, validate the results and prepare a path to production.
An assistant helps find information in internal procedures, product documentation or a knowledge base. Answers include references to the source material.
Selected sources, update processes and access rules.
Relevant document passages provide context for the answer.
Information whose sources and context can be checked.
RAG does not guarantee accuracy. We validate answers and references, access permissions and behaviour when source information is missing.
Every project starts with a specific task. We tailor the scope to its value, the available data and your resources.
Discuss AI for your businessWe choose a task and agree on how to compare quality, time and cost with your current process.
We design knowledge sources, retrieval, data updates and integration with your applications.
We define data access, answer validation and the steps that require a human decision.
We validate the solution against agreed examples, considering running costs, quality monitoring and maintenance responsibilities.
We can start by assessing your current setup, validating an idea or designing a new application. We agree on scope and deliverables up front.
We explore your goals, daily work and tools. We define the problem and how we will recognise improvement.
Agreed requirements and priorities.
We prepare an approach, scope and cost estimate. We test uncertain areas with a prototype or pilot.
Evidence for the next decision.
We deliver in agreed increments, demonstrate progress and validate the results with future users.
Working, validated parts of the solution.
We prepare deployment, documentation and handover, and clarify responsibility for operations and ongoing support.
A solution ready to use.

Behind Pfeifer corp is Václav Pfeifer, a software and solution architect with over 15 years of experience designing and building systems. He combines architecture, hands-on implementation and technical leadership.
Our work draws on experience in warehouse automation, e-commerce, financial systems and aerospace research. We understand how applications connect to real operations and explain technical decisions in terms of your goals.
Václav's doctoral research at Brno University of Technology focused on keyword detection in speech, machine learning and signal processing. This also informs our approach to AI: a well-defined task, validation against data and thoughtful integration into operations.
Our core expertise is C# and .NET, distributed systems and integration. We work with technologies including Kafka, RabbitMQ, SQL, Elasticsearch, Redis, Docker and Kubernetes. We choose tools to suit the solution and its operating requirements.
No. We start with your work, the tools you use and what you want to change. Together, we define goals, priorities and a practical first step.
First, we assess their integration options. We look at available interfaces, data access and vendor requirements. Then we recommend what to retain, connect or extend.
RAG combines a language model with retrieval from selected sources. For each question, the system finds relevant material and gives it to the model as context for its answer. It can help with tasks such as searching company documents. Answer quality and source references still need to be checked; RAG alone does not guarantee accuracy.
We identify the data needed for the task and who may access it. We discuss deployment, model provider terms, data storage and operational logs. Permissions are considered both when retrieving information and when taking actions.
We select a specific task and compare the current workflow with a pilot solution. We measure time, output quality, corrections and operating costs. The results guide the next step — sometimes conventional automation is a better fit.
It depends on the scope, complexity and integrations involved. Once requirements are clear, we propose an approach and a cost estimate. Before deployment, we also agree on responsibility for operations, maintenance and further development.
A new application, connected systems or AI working with your data.
Let's start with where you want to go.
Tell us briefly what you are dealing with and what you would like to change. We will work out the technical requirements together.
Email us pfeifercorp@gmail.com