Custom software
Internal systems, web applications, backends and business portals designed around your operation.
We design and build web and mobile applications, internal systems, AI agents and integrations — from process analysis and architecture to deployment and production operations.
We do not choose technology because it is fashionable. First we understand the process, constraints and desired outcome.
Internal systems, web applications, backends and business portals designed around your operation.
AI agents, RAG, automated workflows and other AI solutions embedded in real business processes.
CRM, TMS, helpdesk, API, GPS, accounting and other business-system integrations.
Android and iOS applications connected to backends, hardware and internal systems.
We describe the work concretely while keeping sensitive client information private unless publication is approved.
Taking over an existing solution, stabilising development, migrating to a modern stack and extending integrations and operational workflows.
Architecture, business-system integrations, fallback logic, output quality and production readiness.
Turning a manual process into one clear system with explicit states, ownership and reporting.
MattPake is led by Matúš Paško, a software engineer and AI consultant with experience in banking, logistics, e-commerce and energy. His background includes mission-critical banking systems, transport mobile applications and production AI solutions. He also teaches a course focused on designing AI solutions from analysis to production.
We first establish what really happens today and where the problem originates.
We choose the simplest architecture that makes operational and economic sense.
We validate the riskiest part quickly using real data and workflows.
We connect systems, test behaviour and prepare production operations.
After launch we monitor results, errors and further automation opportunities.
We are building a public archive where each article answers a concrete question and is accessible to people, search engines and language models.
Describe the current situation. In the first discussion we can determine whether software, automation, AI — or a simpler solution — makes sense.