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Lexunit

Budapest, Hungary

10-49€45-85/hrFounded 2017
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About

Lexunit is a Budapest software and AI firm building machine vision for production lines, document and legislation monitoring, and data pipelines for industrial, insurance and legal clients.

Who They Work With

Industrial and legal-publishing operators buying a machine-vision or document-automation system to run on their own premises.

Based on 13 client engagements with a source URL · researched 27 Sept 2026

Our Take

The Astotec study is the clearest deployment: a two-model machine-vision line in an auto-parts assembly plant that identifies the box type, counts the parts at 10 frames per second and drives an OK/NOT OK display at the workstation, built to run on-premise without internet access.

The Wolters Kluwer Hungary tool that crawls, classifies and ranks web articles on legislation changes and the Nature Conservancy pipeline that pre-filtered 2.3 million papers to 1.28 million with ML and topic modeling are both delivered systems, but only the research pipeline publishes a result (evidence-map creation cut from years to weeks), and the Atlas Copco tray optimizer stops at verification on legacy data.

All ten case studies carry an August 2023 date and the insurance-claims photo checker (850 training cars) was presented to the client as a mobile-app demo, so ask for a 2025 or 2026 engagement before assuming the AI practice is current.

The weaker fit is buyers who need LLM-era product work with published metrics—the visible portfolio is classical computer vision, NLP and optimization, and the strongest numbers belong to a research client rather than an operator.

Key strengths

  • Named testimonials from named people at Rolls-Royce Hungary, Atlas Copco Hungary, Wolters Kluwer Hungary, Hyundai Technologies Center Hungary and Profession.hu
  • Published rates of €45–85/h for a portfolio with three named delivered systems
  • Case studies state the deployment constraints—on-premise, off-grid, 10 fps, weekly plan cadence—which is what an industrial buyer needs to judge fit

Good to know

  • Case-study pages are dated August 2023 and the footer copyright reads 2023—ask for a recent reference
  • The team page names a CEO, founder, CTO and head of growth and describes the team as founders, IT professionals and PhDs—ask who built the Astotec vision models and whether they are still on staff
  • The Atlas Copco optimizer was verified on legacy data only—if you are buying a scheduling or optimization system, confirm it went live
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 3 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: Astotec, Wolters Kluwer Hungary, The Nature Conservancy, Atlas Copco Hungary, Rolls-Royce Hungary Kft., Atotal Insurtech, WE3Lab (Stanford University), Hyundai Technologies Center Hungary, and Profession.hu. All 9 carry a source URL on file.

AstotecTwo-model machine-vision quality control at an auto-parts assembly plant: box-type recognition plus object-detection part counting, real-time OK/NOT OK display, on-premiseSource
Wolters Kluwer HungaryInternal tool that crawls, classifies (article/not article) and ranks web articles on legislation changes with ML models; named testimonial from the head of content managementSource
The Nature ConservancySemi-supervised literature-review pipeline: 2.3M papers pre-filtered to 1.28M, LLM embeddings and topic modeling, 120-plus extracted fields per paper, years-to-weeks turnaroundSource
Atlas Copco HungarySimulated-annealing tray-swap optimizer for a component warehouse, verified on legacy data with a BI metrics interface; named testimonialSource
Rolls-Royce Hungary Kft.Internal cloud engineering-simulation product for Rolls-Royce Electrical (software delivery, not AI); named testimonial from the cloud operations leaderSource
Atotal InsurtechCar-wreck auction platform and car-inspection web application for a Generali-owned claims settlement company (software delivery, not AI)Source
WE3Lab (Stanford University)Cloud-based energy-flexibility modeling MVP for wastewater treatment plants on AWS and Prefect, using the client's optimization software (software delivery, not AI)Source
Hyundai Technologies Center HungaryNamed testimonial from a team leader on a data-science engagement; no case study published
Profession.huNamed testimonial on a product-development project; no case study publishedSource

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