Comparison updated
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Hiflylabs | Lexunit |
|---|---|---|
| Editorial score | Higher score: 61.8/100 | 51/100 |
| Hourly rate | Contact for rates | €45-85/hr |
| Team size | Larger team: 250+ | 10-49 |
| Location | Budapest, Hungary | Budapest, Hungary |
| Founded | 2015 | 2017 |
| Last reviewed | Sep 3, 2026 | Sep 3, 2026 |
What we said about each
Our take on Hiflylabs
The named LLM-era work is the reason to read the case studies: Billingo's text-to-SQL and RAG agent went from proof of concept through pilot to full production on OpenAI, Snowflake and OpenSearch with prompt anonymization via MS Presidio, and Erste Bank's agentic RAG knowledge base on LangGraph and Azure AI Search reports 200-plus documents processed and 40% higher answer accuracy. The older classical work carries the hardest numbers—MOL Group's location-based pricing showed 3. 87% gross-margin…
Reviewed Sep 3, 2026
Read the full assessment →Our take on Lexunit
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.
Reviewed Sep 3, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Hiflylabs if you need
- larger team capacity for multi-stream or enterprise-scale programs
- a higher overall editorial score
Choose Lexunit if you need
- closer collaboration at a smaller team scale
- an overall editorial score of 51/100
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Hiflylabs
Strengths
- Stack is listed on every study—LangGraph, MLFlow, Azure AI Search, Databricks Apps, HuggingFace, MS Presidio—so a technical buyer can check the architecture before the first call
- Third-party standing is visible: FT1000 listing, Databricks, Snowflake Select and AWS Select partner tiers, and 50-plus Databricks-certified staff per the homepage
- Named testimonials with names and titles at Catylex, MOL Group, Cirkul, Adaptive Recognition, Semilab and Billingo, and an engineering blog dated from 2020 through August 2026 with named authors
Watch-outs
- The 99% analysis-time cut and the 6x ROI belong to anonymized clients—ask for a speakable reference behind each
- The homepage claims 500-plus projects and 200-plus clients against roughly 25 published case studies—ask for the list in your vertical
- Semilab and Adaptive Recognition are named proofs of concept—confirm what has run in production since, and who operates it
Lexunit
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, under the EU €100–200/h band, 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
Watch-outs
- 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
Service coverage
Both agencies cover the same services — on this axis there is nothing to separate them, so decide on the evidence behind the work rather than its labels.
Industry coverage
Both agencies cover the same industries — on this axis there is nothing to separate them, so decide on the evidence behind the work rather than its labels.
Pricing math
What a 12-week engagement at one full-time equivalent (~480 hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
Hiflylabs
Contact for rates
Lexunit
Rate: €45-85/hr
€21,600–€40,800
Only Lexunit publishes a rate, so there is no gap to measure. Hiflylabs quotes per engagement — ask for a rate card early, since a comparison that starts on scope and ends on price tends to end late.
Frequently asked questions
- Which has more FinTech experience, Hiflylabs or Lexunit?
- Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: Hiflylabs and Lexunit.
- Which scores higher overall, Hiflylabs or Lexunit?
- Hiflylabs scores 61.8/100, 10.8 points higher than Lexunit at 51/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- Which is faster to engage, Hiflylabs or Lexunit?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. Lexunit runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Hiflylabs runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.
- When should I consider both Hiflylabs and Lexunit?
- Consider running parallel discovery briefs with Hiflylabs and Lexunit if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.