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R-Szoft

Budapest, Hungary

10-49€20-40/hrFounded 2018
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About

R-Szoft is a Budapest software firm building generative-AI and agentic back-office automation for document processing, quotation, customer service and HR workflows, including on-premise open-model deployments.

Who They Work With

Hungarian companies that need a software house for business-system builds, with on-premise AI document automation added.

Based on 3 client engagements with a source URL · researched 23 Sept 2026

Our Take

R-Szoft's AI evidence is its own products plus six anonymized scenarios: IDP AI extracts Hungarian invoice fields with the open Qwen3-Vision model and reports an 86% straight-through processing rate, and RAITEST, a QA agent built for internal use, reports 90%+ of its generated tests succeeding against a live multi-portal SaaS application.

The case-study page credits unnamed clients with large results—a construction firm's quote preparation time down 75% and bid win rate up 35%, a manufacturer's first-time fix rate up 80%—but names no client, date or stack, so none of it can be checked.

Every case study that does name a client—Vodafone, Xella, Indivizo—describes conventional software work in Angular, Vaadin, Spring Boot or Go, with no AI component.

The weaker fit is buyers who need a named reference running an R-Szoft AI system, or who want the published percentages shown as measurements from a client deployment rather than scenario summaries.

Key strengths

  • Named enterprise delivery with technical detail: a recursive query engine and Angular front end for Vodafone, and a SAP-integrated B2B ordering platform on Vaadin and Spring Boot for Xella
  • IDP AI publishes its stack and controls: Qwen3-Vision, Keycloak OIDC, audit logging, and per-field confidence scores that send only low-confidence fields to human review, deployable on-premise
  • The RAITEST write-up explains its mechanics rather than asserting them: Jira-triggered test plans, Playwright exploration, a three-level self-healing locator, and local or cloud models

Good to know

  • None of the six AI case studies names a client—ask for one reference you can call whose AI system is still running, and how the 75% and 85% figures were measured
  • The homepage says several large Hungarian companies use its ChatGPT alternative, AtheneAI, but names none—ask for a customer reference and which models it runs
  • No team page names the engineers—ask who on your project has shipped LLM systems, since the named project history is Java, Angular and Go development
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 23 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Vodafone, Xella, and Indivizo. All 3 carry a source URL on file.

VodafoneRecursive query engine and custom Angular components letting marketing and analytics staff build complex relational queries without schema changes, used for customer survey and market research campaigns; no AI componentSource
XellaRedesign of the B2B building-materials ordering platform on Vaadin, Spring Boot and PostgreSQL with SAP order-management integration and one-click ordering, taken over from a previous development team; no AI componentSource
IndivizoTwo engagements for the recruitment platform: React refactoring, AWS-to-Azure migration and a versioned Go REST API delivered in three months, then a browser-based video interviewing service on Daily.co; no AI built by R-SzoftSource

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