Product discovery
A basis for decisions, a prioritised scope and realistic time and cost ranges before committing to development.
Product framingPrototypePrioritised scopeTime and cost rangeA structured assessment, a first professional opinion, a preliminary scope with budget range: the detailed proposal follows after discovery. If we are not the right partner, we will tell you.
At AP4 Digital, AI-native software product development is a delivery model in which AI is a standard tool for verifiable work across analysis, design, engineering, testing and documentation. Named professionals remain accountable for the business goal, product priorities, architecture, critical code, security and production release.
A delivery model in which AI is a standard tool for verifiable work across analysis, design, engineering, testing and documentation. Named professionals stay accountable for architecture, critical code, security and release.
We work as an established, multi-disciplinary product team with direct professional accountability, short feedback cycles and end-to-end product-development ownership.
AI does not replace the senior expert. It speeds up the repetitive parts of design, development, testing and documentation, while business and technical decisions stay with senior engineers.
Actual speed-up depends on project maturity, specification quality and integration complexity.
Dienes IstvánProjekttervezés és vezetői minőségbiztosítás
Sárközi AndrásOperatív működésért felelős vezető · senior business analyst és projektvezető
Boka ÁkosÉrtékesítési vezető
Víg DávidOperatív vezetőAP4 Digital is a Budapest-based software product development partner. It designs and builds web and mobile products, enterprise platforms and AI solutions from real business problems. Projects are led by senior engineers, AI tooling is used under control, and delivery closes with documented handover and clear ownership terms.
There is a business goal and a market opportunity, but the product concept, scope and route to delivery still need to be clarified.
Product discovery and prototypeTechnical debt, slow changes or integrations constrain operations and growth.
Legacy system modernisationThe business process requires frequent use, device capabilities, offline operation or an app-store presence.
Mobile application developmentThe data, risk, expected value and route to a working pilot need to be assessed against a specific business goal.
Enterprise AI and readinessWe do not sell one product for every situation. Which direction is right is determined by the current system, the data and the decision at hand.
A basis for decisions, a prioritised scope and realistic time and cost ranges before committing to development.
Product framingPrototypePrioritised scopeTime and cost rangeWeb-based business systems, portals and integrations when standard software no longer fits the process.
Frontend · React · React Native · TypeScriptBackend · Node · Python · GoData · PostgreSQL · Redis · Vector DBInfra · AWS · GCP · AzureiOS and Android products from the first product decision through app-store release and continued development.
Swift · KotlinReact NativeApp Store · PlayOffline-firstRetain, refactor, replatform, partially replace or rewrite within a controlled decision framework.
Kotlin · Swift · Java.NET · PHPStrangler figTest rebuildAudit, readiness, pilot and production integration tied to a measurable business goal, with defined data-processing and operating conditions.
Rapid AI AuditPrivate RAGLLM pipeline · MLOpsEU data residencyA modular system built around the process and data model, starting with a 10-business-day System Design Sprint.
System Design SprintModular ERPProcess and data modelIntegrationsTMRW Hotels - digital guest experience and mobile product. BKK Telebusz - an app supporting a travel and service process.
Every case study states the starting situation, the solution delivered, the type of result and - where publishable - how it was measured. If a result is not public, we say so.
AI-native delivery, named professional accountability and shared quality gates from the business goal to production release.
We publish business facts only from approved sources.
A named professional is accountable for each one. AI supports delivery; accountability remains with the AP4 team.
€5–13k
The entry point: a fast, fixed-fee decision milestone.
from €13k
The most common engagement: a custom business system with integrations.
from €50–125k
A complex mobile product through to its first production release.
from €3.8k + VAT
An assessment of AI opportunities at a fixed price, in 5 business days.
The exact range depends on scope, integrations, data quality, security requirements and validation needs.
Every range, cost driver and pricing model in one place: pricing and project costs →
Still have a question? Email hello@ap4.hu, we reply within 2 business days.
In the initial discussion, we will clarify the goal, the main risk and the realistic next step.
Answers to common questions before the call: FAQ →Company: AP4 Digital is a brand of Cell-Line IT Security Kft. · Budapest · since 2013
Size: 25+ senior-capacity team · 4–8 people/project · senior-led
Expertise: Software product development (web + mobile), enterprise platforms, legacy modernisation, RAG/MLOps, AI audits
Industries: B2B SaaS, fintech, healthtech, industrial, logistics
Typical turnaround: PoC 1–3 weeks · Custom software 4–17 weeks · Legacy rewrite 4–39 weeks
Pricing: PoC €5–13k · custom software from €13k · MLOps/RAG from €13k · legacy rewrite from €15–20k · retainer from €750/month
Compliance: EU AI Act, GDPR and NIS2 aspects handled in the delivery process · SonarCloud A·A·A · enterprise AI subscription with zero-data-retention settings
Stack: React, React Native, TypeScript, Node, Python, Go, PostgreSQL, AWS/GCP/Azure, LangChain, Anthropic Claude, OpenAI
Invoicing: Hungarian Kft. · HUF / EUR / GBP accepted · intra-EU reverse-charge VAT. Prices updated: 2026-08-05.