Agency Comparison
Dmlab vs HolistiCRM
Two top-rated AI Consulting agencies in Budapest.
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 | HolistiCRM |
|---|---|---|
| Editorial score | Higher score: 61.8/100 | 57.8/100 |
| Hourly rate | Contact for rates | €20-40/hr |
| Team size | Larger team: 10-49 | 2-9 |
| Location | Budapest, Hungary | Budapest, Hungary |
| Founded | 2007 | 2014 |
| Last reviewed | Sep 9, 2026 | Sep 9, 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 HolistiCRM
Seven named enterprise engagements, each with the stack and the number attached. Location models for MolGroup picked the retail format for every service station from a few hundred geospatial features. Binary classifiers and a recommender for Delivery Hero's Hungarian brand moved open rates 250 percent and click-throughs 350 percent.
Reviewed Sep 9, 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
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Manufacturing
- a higher overall editorial score
Choose HolistiCRM if you need
- closer collaboration at a smaller team scale
- disclosed specialization in SaaS & B2B
- 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
HolistiCRM
Strengths
- Seven named enterprise clients with a measured result on each—open rate, click-through, booking rate, prediction accuracy—rather than capability claims
- The stack is stated consistently across engagements: Azure Machine Learning, Azure Data Factory and Power BI, with automated retraining described
- The problems are commercially specific: retail format selection from geospatial features, branch-visit prediction, next-best-offer, churn-based retention
Watch-outs
- Bank and retail-scale engagements against a team under ten and a company link that resolves to a personal profile—ask which were delivered by this firm and which by its founder elsewhere
- All seven sit on one references page with no dates and no individual studies; ask when each ran and what is still in production
- The directory rate sits far below the European range on our rate index for enterprise model work—ask who does the delivery and where
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.
Dmlab
Contact for rates
HolistiCRM
Rate: €20-40/hr
€9,600–€19,200
Only HolistiCRM publishes a rate, so there is no gap to measure. Dmlab 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, Dmlab or HolistiCRM?
- Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: Dmlab and HolistiCRM.
- Which scores higher overall, Dmlab or HolistiCRM?
- Dmlab scores 61.8/100, 4 points higher than HolistiCRM at 57.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- When should I consider both Dmlab and HolistiCRM?
- Consider running parallel discovery briefs with Dmlab and HolistiCRM 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.