Comparison updated · Newest review
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 | Dmlab | Hiflylabs |
|---|---|---|
| Editorial score | 61.8/100 | 61.8/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | 10-49 | Larger team: 250+ |
| Location | Budapest, Hungary | Budapest, Hungary |
| Founded | 2007 | 2015 |
| Last reviewed | More recent review: Sep 9, 2026 | Sep 3, 2026 |
What we said about each
Our take on Dmlab
The energy-trading system is the one to read, and it is a full operational platform rather than a model handed over. Built for Central Energy Trade Hungary Group, it collects production, consumption and weather data in real time, forecasts solar-farm output and customer demand with machine learning, trades on the power exchange against those forecasts, issues the invoices, and raises an alert when it stops behaving. The business case is stated the way an operator states it: better forecasts…
Reviewed Sep 9, 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 Dmlab if you need
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce
Choose Hiflylabs if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Legal
- broader service offering — also covers AI Automation
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Dmlab
Strengths
- The energy platform is documented as an operating system, not a model: real-time ingestion, forecasting, exchange trading against the forecast, invoicing, monitoring and alerting
- The economic mechanism is named—forecast accuracy reduces the balancing energy bought to cover a shortfall—rather than left as efficiency language
- Trading since 2007, with clients across pharmaceutical manufacturing, logistics and banking on the reference list
Watch-outs
- Two engagements are written up against a much longer client list—ask what was delivered for Egis, Waberer's or K&H
- Neither case study publishes a figure; ask what the forecast error was before and after, since that is where the value sits
- Everything is published in Hungarian and no rate is listed—confirm working language and pricing before scoping
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.
Frequently asked questions
- Which has more FinTech experience, Dmlab or Hiflylabs?
- Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: Dmlab and Hiflylabs.
- Which scores higher overall, Dmlab or Hiflylabs?
- Both score equally well overall (61.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.
- Which is faster to engage, Dmlab or Hiflylabs?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. Dmlab 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 Dmlab and Hiflylabs?
- Consider running parallel discovery briefs with Dmlab 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.