# DEPT vs Ekimetrics

> Comparing AI Marketing options: Amsterdam vs London. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/dept-vs-ekimetrics
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | DEPT | Ekimetrics |
|---|---|---|
| Editorial score | 64/100 | 52.8/100 |
| Hourly rate | €130-170/hr (directory-listed) | not published |
| Team size | 1000-9999 | 50-249 |
| Location | Amsterdam, Netherlands | London, United Kingdom |
| Founded | 2016 | 2006 |
| Last reviewed | 2026-08-06 | 2026-09-07 |
| Services | AI Development, AI Marketing, Generative AI | AI Consulting, AI Marketing, Generative AI |
| Industries | SaaS & B2B | E-commerce, Manufacturing, FinTech |

## Our take on DEPT
Reviewed 2026-08-06 by Gabor Kiss against published evidence.

Signs is the most visible AI work here: a sign-language learning platform using computer vision to check the learner's signing, which reached more than 20 million people in its first week and recorded 20,000 signs learned in ten days. It is a collaboration with NVIDIA and the American Society for Deaf Children rather than a commissioned client project, which is worth knowing when you read it as evidence.

The commissioned AI work is more ordinary and more useful as a guide: a return-value prediction model for the fashion retailer Omoda that fed its marketing hub, Clair for CaryHealth, a reference app its own case study credits with 90% faster clinical search, and nine CGI avatars generated for Inter's INTERISTA fan platform, published as 13.5 times faster and 92% cheaper than the comparable manual workflow.

Size is the real variable: DEPT operates across many markets, so who staffs your project matters more here than at a twenty-person firm.

The weaker fit is an enterprise wanting a production AI system governed and operated long-term; this bench is strongest where AI meets the audience.

### Key strengths
- Named clients with figures attached across three sectors: retail returns, clinical search, sports fan engagement
- Computer vision applied to genuinely hard interaction problems, not generative demos
- International delivery capacity, so multi-market rollouts do not need a second agency

### Good to know
- Signs is collaborative work with NVIDIA, not a client engagement—judge the commissioned cases separately
- Published AI work is weighted toward audience-facing products—ask for an operated system with an SLA if that is what you need
- At this scale, insist on knowing the named team, not the agency's aggregate credentials

## Our take on Ekimetrics
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

Ekimetrics has 20 years of marketing-mix modeling behind it and 13 named clients on the site—Nestlé, Estée Lauder, Renault, Groupe SEB and Blablacar among them—but the named clients and the published case studies are not the same set.

The two most detailed cases are anonymous: a climate-risk engine consolidating more than 200 data points per assessment across 1,023 ISIC-coded industries using LLM-generated vulnerability assessments with expert validation, and a beauty-sector formulation system built to take a manufacturer from 50 to 500 approved formulas a year against a reformulation deadline covering 1,500+ products.

Both describe real method—the climate work anchors physical risk scoring in the INFORM Risk Index, the formulation work pairs Design of Experiments with the models—but neither says whose problem it solved.

The headline claim of $10 billion in gains delivered has no working shown, so treat the cases as the evidence and the aggregate as marketing.

### Key strengths
- Twenty years of marketing-mix modeling, with a Google Measurement Partner listing and a Microsoft solutions-partner designation in AI and Machine Learning
- The climate-risk work publishes its method: INFORM Risk Index for physical risk scoring, ISIC-compliant classification across 1,023 industries, expert validation before deployment
- Named clients span consumer, automotive and industrial brands—Nestlé, Estée Lauder, Renault, Groupe SEB

### Good to know
- The named clients and the published case studies are different sets—ask for a case study with the client's name on it
- The "$10B gains delivered and measured" figure is an aggregate with no methodology attached—ask how it is calculated
- The head office is Paris and London is one office—ask where your team sits and who leads the engagement

## Which to choose
Choose DEPT for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in SaaS & B2B
- broader service offering — also covers AI Development
- a higher overall editorial score

Choose Ekimetrics for:
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce / Manufacturing
- broader service offering — also covers AI Consulting

## Questions buyers ask

### Which scores higher overall, DEPT or Ekimetrics?
DEPT scores 64/100, 11.2 points higher than Ekimetrics at 52.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### When should I consider both DEPT and Ekimetrics?
Consider running parallel discovery briefs with DEPT and Ekimetrics 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.

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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