01
Software development
Websites, web applications, CRM and ERP extensions, customer portals, internal tools, integrations, and custom business software.
Technology partner
From an ideato a digitalecosystem
We clarify the business need, define the right scope, build the software, set up the infrastructure around it, connect the systems that matter, and remain responsible after launch.
What we do
Technology built around your company.
We take responsibility from clarifying the need through to stable day-to-day operation.
02
AI & automation
Corporate assistants, document processing, knowledge search, voice workflows, CRM and ERP integration, and routine automation where they earn their place.
03
Odoo & ERP
We implement and extend Odoo as a modular ERP platform so sales, operations, and finance can share one process model.
04
IT infrastructure
Reliable operation, backups, monitoring, access, security, recovery, deployment, DNS and SSL, databases, and servers, designed as part of the product.
05
Business email & communications
Domain, DNS, business email, Microsoft 365 or Google Workspace, and related communications assembled into one coherent environment.
06
Brand & digital design
Logo, visual identity, interfaces, web experience, and product presentation that stay consistent.
From idea to launch
A clear path to a working product.
We move step by step, so every technical decision supports a real business goal.
Why KONI|EU
One partner. The entire digital environment.
We take on the full technical side: idea and development through to infrastructure, integrations, and support. For the company, that means one connected environment and one accountable partner.
01. One partner instead of five
When different parts of a digital environment are handled by separate vendors, the business owner often becomes the technical coordinator.
While everything works, the setup can look fine. Trouble starts at the boundaries between vendors.
We treat the application, server, DNS, email, integrations, and monitoring as one connected environment. Different specialists may do the work, yet the client still needs one clear point of accountability.
From practice
Four vendors, and no one is accountable for the result
Site: vendor A
CRM: vendor B
Server: specialist C
Mail: vendor D
The CRM stops sending notifications. Each side says their part works, yet messages still do not reach customers. The manager is left coordinating the vendors.
Problems usually appear at the boundaries between systems. Accountability for the result must be clearly assigned.
- One clear point of accountability
- Fewer gaps between website, CRM, server, email, and integrations
- Less time spent coordinating vendors
Technical complexity should not become the client’s job.
02. Business need before code
The most expensive system does not necessarily solve the task better.
The difference between a large rollout and the right solution often becomes clear only after speaking with the person who will use the product to make decisions.
Clarify the real need. Design the architecture once that need is clear.
Project example
The proposed ERP was larger than the business actually needed.
Development: ≈ 1.5 weeks
Rollout: ≈ 3–4 days
Three quotes for a large ERP: ≈ €16,000 · ≈ €35,000 · ≈ €80,000
After speaking with the owner: < €10,000
In one specific project, much of the assumed ERP functionality was not needed. Earlier proposals were designed around excessive scope. The owner’s actual need was considerably smaller. A focused custom module solved it: only necessary logic and minimal actions. This is one project example, not a promise that every ERP costs under €10k.
The size of an IT solution should match the real need, not the length of a feature list.
- Need shapes architecture
- Minimal unnecessary actions for staff
- Solution scale follows the task
We clarify the task before we build the solution.
03. Infrastructure as part of the product
A finished interface is not yet a finished product.
A common situation: development is finished, the interface works, the client is ready to launch, and only then it becomes clear that the environment was never designed.
How the product runs, how it is deployed, backed up, monitored, accessed, and recovered belongs in the same design as the application.
From practice
The application is ready. There is nowhere to run it
Placement: Where the product runs and who owns that environment.
Data protection: How and where backups are stored.
Monitoring: How we learn about a problem before the user does.
Recovery: What we do if something actually breaks.
Without a defined runtime, launch waits on hosting, access and recovery decisions that should have been made with the application itself.
A working product includes both the application and the environment where it can run reliably.
- Runtime environment designed from the start
- Backups and monitoring are not post-release extras
- Fewer surprises in the first month
A product is ready when the environment that runs it is ready.
04. Support after launch
After launch, requirements become clearer than tests can show.
Before launch, developers and a few staff members review the product. Once people use it every day, requirements appear that tests cannot fully reveal.
It becomes visible which actions users bypass, which data leaders need, and which features turned out unused.
Support keeps project context and lets the product evolve without searching for a new vendor each time.
From practice
Requirements become clearer after launch
Launch: The product enters day-to-day operation.
Observation: We watch how people actually use it.
Correction: We remove the unnecessary and fix real problems.
Development: We add what the company now needs.
What usually changes after launch: user roles, reports, integrations, automation, and working scenarios that tests can rarely reveal in full.
Launch does not finish the project. It is the moment the product enters daily use.
- Project context remains after release
- Changes without hunting for a new vendor
- Development continues with the company
Launch opens the phase of day-to-day operation.
05. Business judgement
We do not propose a large system only because such a system exists.
We clarify which actions people truly need every day, then choose the scale of the solution.
A feature earns its place when people use it at work. A polished slide deck does not make a feature useful.
Project example
About 30 fields became roughly five
First version: ≈ 2 days
Rollout: < 1 week
Large CRM for a simple task: ≈ 30 fields
After process review: ≈ 5 necessary parameters
In one project, staff could create records more easily, managers could follow work more clearly, and the product entered daily use faster. Less time went into administrative actions. Timings shown are for this example, not a universal delivery promise.
A long list of capabilities is worthless if people do not use them.
- The tool follows the need
- Benefit assessed before rollout
- Honest advice: do / wait / do not do
Good engineering sometimes means doing less, more precisely.
06. Built to grow with the company
We try not to build a solution that will have to be thrown away tomorrow.
At the start, a simple solution is often enough. As the company grows, roles change, more people need access, and reporting and automation expand.
Good architecture does not try to guess the company’s entire future. Its job is to leave room for new processes, roles, and integrations without rebuilding what already works.
When architecture allows for growth, new capabilities can be added gradually, without an expensive rebuild of the entire setup.
From practice
From five people to thirty, without starting over
At the start
5 employees
1 market
1 process
a few roles
After growth
30+ employees
several markets
ERP / CRM
analytics
automation
integrations
The company grew. Roles changed. More people needed access. Reporting and automation expanded. Architecture had to support the next stage without a complete rebuild.
A product does not need to predict every future detail. It should not become a hard ceiling on growth.
- Room for team and market growth
- New processes without full replacement
- Expandable integrations and roles
A digital environment should withstand company growth.
01
One partner instead of five
When different parts of a digital environment are handled by separate vendors, the business owner often becomes the technical coordinator.
While everything works, the setup can look fine. Trouble starts at the boundaries between vendors.
We treat the application, server, DNS, email, integrations, and monitoring as one connected environment. Different specialists may do the work, yet the client still needs one clear point of accountability.
- One clear point of accountability
- Fewer gaps between website, CRM, server, email, and integrations
- Less time spent coordinating vendors
Technical complexity should not become the client’s job.
Technologies
Technology chosen for the job.
We choose tools for the task, the scale, and long-term support. Fashion is not a selection criterion.
Select a technology to learn what it is and when it is useful
AI — Technology field
What it is: AI (artificial intelligence) is a broad field of methods and models that help software analyse language, images, speech, and other data, classify information, search knowledge, make predictions, and support automation.
In plain terms: Software can recognise patterns in text, documents, speech, or structured data, then draft, route, or classify work that staff still supervise.
Where it came from: The term became widespread after the 1956 Dartmouth workshop. AI is a field that evolved through many methods and models over decades; there was no single release that created modern AI.
What it is used for: Language and document work, vision and speech tasks, classification, knowledge search, prediction, and automating repetitive steps when processes and data already exist.
How we use it: We embed assistants and document workflows into CRM, email, and internal tools so teams spend less time on routine handling, with results written back into existing systems.
When it is not needed: If a clear rule, form validation, or SQL query already solves the job reliably, AI adds cost and uncertainty without improving the outcome.
Python — Programming language
What it is: Python is a high-level general-purpose programming language.
In plain terms: Developers use it to process data, talk to other systems, run background jobs, and build the server-side logic behind business applications.
Where it came from: Guido van Rossum released the first public version in the early 1990s. It later became a standard choice for backends, data work, and machine-learning tooling.
What it is used for: Backend services, APIs, automation scripts, integrations, file and data processing, and services that support AI or analytics.
How we use it: We use Python when a client needs reliable server logic, clean integrations between systems, and predictable data handling without brittle one-off integrations.
When it is not needed: A simple brochure site or a narrow no-code form rarely needs a custom Python service. Another stack may deliver the same result with a simpler setup.
Odoo — Modular ERP platform
What it is: Odoo is a modular ERP and business management platform. Sales, CRM, warehouse, projects, accounting, and custom modules can share one process model.
In plain terms: It is software for running the company. One organisation may start with sales and CRM; another may also run stock, projects, and finance in the same place.
Where it came from: The project began in 2005 as TinyERP, later OpenERP, and has been developed as Odoo by Odoo S.A. since 2014.
What it is used for: Customer and sales pipelines, purchasing and inventory, project tracking, finance workflows, and connecting the platform to websites, email, and external APIs.
How we use it: We implement and extend Odoo with modules fitted to real processes, so teams share one logic instead of reconciling disconnected tools by hand.
When it is not needed: If the company only needs one narrow workflow, a full ERP rollout is usually heavier than a focused application built for that process alone.
PostgreSQL — Relational DBMS
What it is: PostgreSQL is an open-source relational database management system. It stores structured data, keeps it consistent, and retrieves it quickly on request.
In plain terms: It is where the application keeps customers, orders, statuses, and history in organised tables, so the product can find and update critical records reliably.
Where it came from: It grew from the POSTGRES research project at UC Berkeley in the 1980s and matured as open-source PostgreSQL in the 1990s.
What it is used for: Durable storage of business records, transactional applications, reporting sources, and any system where data integrity matters more than a temporary file.
How we use it: We rely on it for consistent records, clearer backups, and safer recovery after incidents in business applications and many Odoo setups.
When it is not needed: A static marketing page with no lasting records does not need its own database engine. Managed hosting content is enough until real application data appears.
Docker — Container platform
What it is: Docker is a container platform. It packages an application with its dependencies so it can run in an isolated, repeatable environment.
In plain terms: The same package can run on a developer’s machine and on a server, which reduces “it worked on my computer” surprises during deployment.
Where it came from: Docker appeared publicly in 2013 from work associated with Solomon Hykes and dotCloud, to make application packaging and startup more consistent.
What it is used for: Reproducible deployments, isolating services, aligning development with production, and simplifying updates of multi-part applications.
How we use it: We use containers when clients need predictable releases, cleaner rollbacks, and the same runtime across environments.
When it is not needed: For a tiny single-file site on managed hosting, containers can add operational load without improving reliability or speed of change.
Linux — OS / kernel
What it is: Linux is a family of operating systems built on the Linux kernel, widely used as the foundation for servers and infrastructure.
In plain terms: Most business servers run a Linux distribution. It starts applications, manages disks and network access, and stays online for users and other systems.
Where it came from: Linus Torvalds began the Linux kernel in 1991. Distributions and tooling around it now underpin a large share of internet and company infrastructure.
What it is used for: Hosting applications, databases, containers, network services, and long-running systems that must stay available outside an employee’s laptop.
How we use it: We design and maintain Linux environments as part of the product: access, updates, storage, networking, and recovery.
When it is not needed: If a managed platform already provides a stable, supported runtime for a narrow service, forcing a custom Linux server can be unnecessary overhead.
React — UI library
What it is: React is a JavaScript library for building user interfaces from reusable components.
In plain terms: Screens are assembled from blocks such as forms, tables, and panels, so complex interfaces stay structured as the product grows.
Where it came from: React was created at Facebook (now Meta) and released publicly in 2013. It became a widely used approach for interactive web interfaces.
What it is used for: Customer portals, admin panels, interactive forms, and web apps where the interface must stay responsive and maintainable over time.
How we use it: We build daily-use React interfaces so staff and customers get clear screens that can grow with new roles and processes.
When it is not needed: A mostly static brochure site rarely benefits from React. A simpler page stack is clearer to run and cheaper to keep.
Next.js — Web framework
What it is: Next.js is a web framework built on React. It adds routing, rendering options, and production structure around React’s UI components.
In plain terms: React focuses on interface pieces. Next.js turns those pieces into a full website or web application with pages, addresses, and efficient loading.
Where it came from: Created by the team behind Vercel (formerly ZEIT) and first released in 2016, to move React from UI components to complete web products.
What it is used for: Public sites, customer portals, product pages, and web services that need clear routes, solid performance, and a maintainable front-end architecture.
How we use it: We use Next.js when clients need a modern web product with predictable page delivery, clean structure, and an interface layer that remains easy to extend.
When it is not needed: An internal tool with a few screens may be better as a simpler server-rendered app. Next.js is not required for every interface.
Telegram Bots — Apps inside Telegram
What it is: Telegram bots are applications that communicate with people inside Telegram through the Bot API.
In plain terms: Staff or customers can receive alerts, submit requests, confirm steps, or start a process without opening a separate website every time.
Where it came from: Telegram opened its Bot API to developers in June 2015. Bots quickly became a practical bridge between chat and company systems.
What it is used for: Notifications, approvals, request intake, status updates, and connecting chat conversations to CRM, ticketing, or internal workflows.
How we use it: We connect bots where teams already work in Telegram, so routine actions reach the right system immediately and leave a clear trail in business tools.
When it is not needed: Complex permissions, rich forms, and detailed audits usually need a full web interface. A bot should support that process, not replace it.
Microsoft 365 — Cloud suite
What it is: Microsoft 365 is Microsoft’s cloud subscription suite for corporate email, documents, Teams collaboration, Office apps, and identity administration.
In plain terms: It is the Microsoft work environment: mail, calendars, files, meetings, and staff accounts managed under one company domain and access policy.
Where it came from: The suite evolved from Microsoft Office and Exchange into a cloud model centred on identity, mail, and collaboration services.
What it is used for: Corporate email, document collaboration, meetings, staff accounts, access policies, and linking communication to company workflows.
How we use it: When a company already works in the Microsoft ecosystem, we assemble domain, DNS, mail, and access into a coherent setup rather than scattered mailboxes.
When it is not needed: If the team is stable on another suite and migration would cost more than the gain, we keep the current environment and improve what is already in use.
Google Workspace — Cloud suite
What it is: Google Workspace is Google’s cloud suite for corporate email, Drive storage, Docs collaboration, Calendar, Meet, and user administration.
In plain terms: It is Google’s collaboration environment: Gmail, shared files, calendars, and meetings under a managed business domain.
Where it came from: Google’s business tools grew from Gmail and Docs into the administered Workspace package with shared domains and central access control.
What it is used for: Corporate mail, shared documents, calendars, collaborative editing, video meetings, and basic staff account management.
How we use it: We configure Workspace (domain, DNS, mail, and access) when Google’s collaboration model fits the team and needs to connect cleanly to company processes.
When it is not needed: We do not switch platforms for the sake of novelty. If Microsoft or another platform already fits security, cost, and habits better, we stay with that foundation.
DNS — Domain name system
What it is: DNS (Domain Name System) is the distributed naming system used to map domain names to internet resources and related service records.
In plain terms: People type a domain such as konieu.sk, and DNS helps find the right destination for the site, email, or related service.
Where it came from: DNS standards took shape in the 1980s and became invisible infrastructure for almost every website and mailbox on the internet.
What it is used for: Opening sites by domain, routing email, verifying domain ownership, and connecting services through the correct DNS records.
How we use it: We treat DNS as part of the product alongside domains, SSL, and mail, because a wrong record often looks like a down site or broken email to the company.
When it is not needed: Public websites, email, and other internet-facing services normally need DNS. The question is how carefully it is designed, not whether to use it.
Cloud — Infrastructure model
What it is: Cloud computing is a model for consuming remote computing resources and managed services over the network, with capacity that can be adjusted on demand.
In plain terms: A company can run applications and data in a provider’s data centre and adjust capacity when load changes, instead of always owning every machine.
Where it came from: Public cloud grew widely from the 2000s with virtualisation and major providers, shifting infrastructure from owned hardware toward on-demand services.
What it is used for: Launching servers and services quickly, scaling under load, managed databases, storage, and standby capacity when flexibility matters.
How we use it: We use cloud capacity when clients need faster deployment and elastic resources, while still designing access, backups, and cost control from day one.
When it is not needed: If regulation, data location, or cost requires dedicated or on-premises infrastructure, cloud is not automatic. The choice depends on the level of control required and the economics.
Servers — Compute system
What it is: A server is a physical or virtual computing system that continuously provides applications, data, or other services to users and other systems.
In plain terms: It may be a machine in a rack, a virtual machine, or a cloud instance. People rarely see it, yet websites, mail, and business applications often run there.
Where it came from: Centralised server computing has existed for decades. Hardware and rental models changed; the role stayed: keep services running for many users at once.
What it is used for: Hosting applications and sites, databases, mail and file services, background jobs, APIs, and anything that must run independently of a laptop.
How we use it: We select and maintain the server environment as part of the product: capacity, disks, network, access, updates, and recovery.
When it is not needed: A simple website on managed hosting usually does not need a dedicated server. A serious business application, however, always needs a clearly managed environment in which to run.
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01
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