Custom Software Development for Companies and Institutions

Build when the way you work is your edge over competitors, when an off-the-shelf tool needs so much customisation that you pay for both the licence and the development, or when you need to connect systems that don't talk to each other. For standard work such as accounting, payroll or email, a ready-made tool is almost always the better choice.

Buy when:

• the process looks the same as in most companies (accounting, payroll, email, a basic CRM)
• the tool covers what you need with minor adjustments
• licence costs grow more slowly than the value the tool brings

Build when:

• the way you work is why customers choose you, and an off-the-shelf tool would make you work like everyone else
• customising the product needs developers, so you pay for the licence and the development
• licences are charged per user and your team is growing
• your data is scattered across tools that don't connect
• you need full ownership of the code and the data

Most often the answer is a mix: accounting and payroll stay in a ready-made product, and the part that is specific to you, plus the layer that connects everything else, is built to measure. That way you only pay for development where you are different.

It depends on scope, but a typical path looks like this: process analysis takes one to two weeks, the first usable module a few weeks, and a complete system two to six months. We build module by module, so the first part is working and useful before everything is finished. We confirm the real timeline in writing after the analysis, not before.

What makes it longer:

• the number of modules and user roles
• connections to systems we don't control (banks, government services, a legacy ERP)
• migrating and cleaning existing data
• how quickly decisions and approvals come from your side

What makes it shorter:

• a clear first scope built around one process
• available data and one person on your side who decides
• a phased approach: the most painful part first, the rest later

The durations above are typical ranges, not a fixed promise. Each phase has its own timeline and price, which you confirm before it starts, and ends with your sign-off.

Check who will actually write the code, who owns the code and the data, how price and scope are agreed, and what happens after handover. A good agency gives you a written scope, a fixed price per phase with your sign-off, repository access from day one and documentation that lets another team take the system over.

Questions worth asking before you sign:

• Who works on the project? Are you in contact with the person who writes the code, or with sales who pass the work on?
• Who owns the code? Code, domain, servers and accounts should be in your name. Ask for repository access from the start, not at the end.
• How does the price change? A fixed price per phase and a written estimate of every change before work starts protect you from an invoice that quietly grows.
• How is it tested? Ask how they check that the system works on your data before launch.
• What happens after handover? Documentation and maintenance, but also the option for another team to take over, with no lock-in to one vendor.
• Personal data: a GDPR data processing agreement and a clear rule on who can see what.
• References: real projects you can look at, not anonymous stories.

That is how we work too: every project has engineers with 5+ years of experience, the price is fixed per phase with your sign-off, and the code is yours. You can see what we have delivered in our case studies.

A custom ERP/CRM integration is a centralised business system that connects sales, inventory, finance, and customer data into a single platform built around your existing workflows. Data silos, where departments operate on disconnected systems that do not share information, are the root cause of duplicate data entry, reporting inconsistencies, and decision-making delays in enterprises with 50+ employees.

We build software that mirrors your proven processes rather than forcing adaptation to a vendor's template. Sales orders flow directly into inventory and invoicing. Customer interactions in the CRM are visible to support, finance, and management simultaneously.

By eliminating manual data re-entry between disconnected systems, you get a measurable gain in administrative efficiency and fewer human errors.

All integrations use REST APIs and PostgreSQL databases with real-time sync, ensuring data consistency across departments without batch processing delays.

AI-powered process automation applies large language models and document intelligence to cognitive tasks that previously required human judgment: invoice reading, contract analysis, report generation, and data classification. Unlike traditional automation that follows rigid rules, AI automation handles unstructured inputs (scanned documents, free-text emails, varied PDF formats) with high accuracy on standardised business documents.

We build automation pipelines using n8n, TypeScript, and LangChain.js that integrate directly with your existing systems:

• An AI agent reads incoming vendor invoices, extracts line items, matches them against purchase orders in the ERP, and routes approved invoices for payment, so nobody retypes them by hand
• Customer support emails are classified by topic, urgency, and sentiment, then routed to the correct department with priority flags
• Monthly reports aggregate data from multiple sources and generate formatted summaries with key metrics highlighted

Each automation includes human-in-the-loop checkpoints for high-stakes decisions, error handling, retry logic, and monitoring dashboards. Your team maintains oversight without performing the repetitive execution.

A custom intranet portal is a centralised internal web platform where employees access company documents, submit HR requests, collaborate on projects, and find institutional knowledge in a single searchable interface. McKinsey research shows that employees spend an average of 1.8 hours per day searching for information. Custom intranets with structured content and good search cut that time significantly.

We build intranet portals that include:

• Document management with version control, department-level access restrictions, and full-text search
• HR self-service for leave requests, expense submissions, and payroll information
• Knowledge base with categorised articles, procedure manuals, and onboarding materials
• Internal communication: announcements, team channels, and project updates

Portals are mobile-responsive, ensuring field staff and office staff operate from the same source of truth regardless of location. Single Sign-On (SSO) with Microsoft Azure AD, Google Workspace, or Okta provides secure access without additional login credentials.

The result: reduced information search time, faster onboarding for new employees, and consistent processes across departments and locations.

An enterprise headless CMS is a content management architecture that separates content creation from frontend presentation, allowing marketing teams to publish across websites, mobile apps, and digital channels without developer involvement, while maintaining the security and performance standards enterprise IT requires. Enterprises still running WordPress or legacy PHP sites face ongoing security exposure, performance limitations, and high maintenance overhead.

We implement Sanity or Strapi as the content layer, paired with a Next.js 16 frontend that delivers pages via CDN in under 100ms. The architecture scales to millions of visitors without server-side bottlenecks.

Multilingual content management with next-intl supports publishing in multiple languages from a single admin interface. Each locale gets its own URL structure, hreflang annotations, and localised SEO metadata, critical for enterprises operating across EU markets.

Marketing teams gain full editorial independence: publish blog posts, update service descriptions, manage landing pages, and modify SEO metadata, all without filing a development ticket. Role-based access ensures content quality without slowing down publication speed.

Predictive analytics is the application of machine learning models to historical business data (sales figures, inventory movements, customer behaviour, seasonal patterns) to forecast future outcomes and inform strategic decisions. Predictive analytics beats intuition-based planning, directly reducing inventory waste and marketing overspend.

We build custom AI dashboards using TypeScript, LangChain.js, and PostgreSQL that analyse your specific business data:

• Demand forecasting: Predict inventory needs based on historical sales patterns, seasonal trends, and leading indicators
• Customer churn prediction: Identify accounts at risk of churning based on engagement metrics and usage patterns, triggering retention workflows before the customer leaves
• Revenue forecasting: Project monthly and quarterly revenue based on pipeline velocity, historical close rates, and market conditions

All models are trained on your data exclusively. Predictions include confidence intervals so decision-makers understand the certainty level of each forecast.

The shift from reactive to data-driven decision-making is measurable: optimised stock levels, better-timed marketing campaigns, and proactive retention efforts that protect revenue before it is lost.

Enterprise digitisation is the systematic replacement of manual processes, disconnected tools, and legacy systems with integrated digital infrastructure. Digitisation fails most often not because of technology, but because of sequencing: replacing everything at once causes disruption; doing nothing causes stagnation. Our phased approach delivers measurable value at each step while managing organisational change.

Phase 1. Digital Audit: We map every tool your company uses, every manual process, every data handoff point. Output: a prioritised list of interventions ranked by ROI and implementation risk. Most companies are surprised by how many quick wins exist before any custom build is needed.

Phase 2. Quick Wins and Integration (4–8 weeks): Connect existing tools that are not sharing data. Automate the highest-volume manual tasks with n8n workflows. This is usually where the first hours come back to your team.

Phase 3. Core System Build (2–6 months depending on scope): Custom ERP modules, CRM, or intranet built to your specific business logic. We build modularly so each component is usable as soon as it is ready, not as a monolithic release at the end.

Phase 4. AI Layer (ongoing): Once data flows are clean and centralised, AI integration becomes straightforward. Predictive analytics, document automation, and intelligent reporting are added on a solid data foundation.

Phase 5. Scale and Optimise: Ongoing monitoring, module expansion, and performance tuning. Your system grows with your headcount, your revenue, and your operational complexity, without forcing a rebuild every three years.

Every company's starting point is different: the phase lengths above are typical ranges, not a fixed promise. The Digital Audit is what confirms your real timeline and sequencing before any custom build begins.