# HolistiCRM

> HolistiCRM is a reviewed AI agency in Budapest, Hungary, listed in the AIAgencies.eu register and last assessed 2026-09-09.

Canonical page: https://www.aiagencies.eu/agency/holisticrm
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Budapest, Hungary
- Website: https://holisticrm.com
- Hourly rate: €20-40/hr (directory-listed)
- Team size: 2-9
- Founded: 2014
- Services: AI Automation, AI Consulting, AI Development
- Industries: FinTech, E-commerce, SaaS & B2B

## About
HolistiCRM is a Budapest machine-learning consultancy building propensity, churn and next-best-offer models and location analytics for banks, telecom operators and retail groups.

## Documented clients
Documented engagements: Delivery Hero (Netpincér), Citibank, MolGroup, OTP Bank, Rossmann, Mobiliti, and Energia Hungary. All 7 carry a source URL on file.

## Curator assessment
Reviewed 2026-09-09 by Gabor Kiss against published evidence.

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. Affinity models for Citibank's retail bank improved the booking rate more than sixfold; a response model for a utility improved it 17 percent; OTP Bank has branch-visit prediction and Rossmann daily sales prediction. The stack is the same throughout: Azure Machine Learning, Data Factory and Power BI.

The thing to establish before anything else is who delivered it. The engagements are bank and retail scale, the team is under ten people, and the company LinkedIn link resolves to a personal profile.

Everything sits on one references page with no dates and no individual write-ups, so the sequence and the recency are not visible.

HolistiCRM publishes no rate itself; the €20–40/h shown here comes from a third-party directory listing, and it is far below the European range on our rate index for work of this kind.

### Key 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

### Good to know
- 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

## Compared head-to-head
- HolistiCRM vs Dmlab: https://www.aiagencies.eu/compare/dmlab-vs-holisticrm
- HolistiCRM vs Hiflylabs: https://www.aiagencies.eu/compare/hiflylabs-vs-holisticrm

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates