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 | AGIgent | Hiflylabs |
|---|---|---|
| Editorial score | 42/100 | Higher score: 61.8/100 |
| Hourly rate | €85-130/hr | Contact for rates |
| Team size | 2-9 | Larger team: 250+ |
| Location | Budapest, Hungary | Budapest, Hungary |
| Founded | 2024 | 2015 |
| Last reviewed | Sep 3, 2026 | Sep 3, 2026 |
What we said about each
Our take on AGIgent
The one published study with numbers is anonymized: a CLIP pre-filter cascaded in front of a real-estate data provider's legacy image-matching algorithm, routing 90% of comparisons away from it for a 70-80% cut in processing cost at a 1% rise in error rate. The rest of the visible portfolio is staged research work—the GRIDFOR grid-forecasting project completed an ESA Kick-Start in August 2025 and lists its feasibility study as in execution, the PACAI antenna-calibration work is described as…
Reviewed Sep 3, 2026
Read the full assessment →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 →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 AGIgent if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector
- broader service offering — also covers AI Agents
Choose Hiflylabs if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech / Legal
- broader service offering — also covers AI Automation
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
AGIgent
Strengths
- Partner roster names ESA and RAL Space (STFC, UKRI), with AGIgent as prime contractor on the ML4QS quantum-magnetometer denoising work
- Three named founders with LinkedIn profiles, a stated address at Faulhorn Labs in Budapest and a named investor (Stockhorn Capital)
- The engineering writing explains method choices—the cascade design in the image study, the tokenization and transparent-model posts—rather than name-dropping models
Watch-outs
- The founder cards on the homepage still carry lorem-ipsum placeholder quotes and the blog stops in mid-2024—ask what the team looks like beyond the three founders
- MAVIR, E.ON Hungária, ELMŰ, HungaroMet, ALTEO and Veolia appear as feasibility-study participants, not as paying clients—confirm the commercial relationship before counting them as references
- The image-comparison study names no client and the RF signal work is under confidentiality—ask for a speakable reference
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
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
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.
AGIgent
Rate: €85-130/hr
€40,800–€62,400
Hiflylabs
Contact for rates
Only AGIgent 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 Manufacturing experience, AGIgent or Hiflylabs?
- Both agencies show documented Manufacturing work. Hiflylabs has the broader industry stack overall, with disclosed experience in FinTech, Legal beyond their shared focus.
- Which scores higher overall, AGIgent or Hiflylabs?
- Hiflylabs scores 61.8/100, 19.8 points higher than AGIgent at 42/100. See our methodology for how scores are calculated.
- Which is faster to engage, AGIgent or Hiflylabs?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. AGIgent 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 AGIgent and Hiflylabs?
- Consider running parallel discovery briefs with AGIgent and Hiflylabs 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.