# Dear Future

> Dear Future is a reviewed AI agency in Copenhagen, Denmark, listed in the AIAgencies.eu register and last assessed 2026-09-09.

Canonical page: https://www.aiagencies.eu/agency/dear-future
Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Copenhagen, Denmark
- Website: https://www.dearfuture.dk
- Hourly rate: not published
- Team size: 50-249
- Founded: 2005
- Services: AI SEO, AI Consulting, AI Development
- Industries: E-commerce, SaaS & B2B
- LinkedIn: https://www.linkedin.com/company/iih-nordic

## About
Dear Future (formerly IIH Nordic, founded 2005) is a Copenhagen AI and data consultancy combining search, digital analytics and machine learning for Nordic and international brands.

## Documented clients
Documented engagements: Bonnier Publications, Pandora, Atrium, and Behandlingscenter Tjele. All 4 carry a source URL on file.

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

This is the most measured portfolio in the Copenhagen roster. For Bonnier Publications, customer data from the CRM, Google Analytics and the newsletter platform was consolidated into BigQuery, a purchase-propensity model segmented 33.3 million users into five groups, and the segments were activated directly in search and display: 53 percent growth in digital subscription sales, 18 percent higher conversion, 327 million predictions generated.

The pattern repeats at smaller scale. Atrium's course-demand model predicts registrations three months out from web activity joined to CRM and booking data, returning 45 percent better marketing performance and two to three hours a day off manual monitoring. A clinically trained chatbot for the addiction treatment center Tjele produced 354 conversations and 25 qualified calls in three months, a 14 percent conversion, against telephone inquiries falling 20 to 30 percent.

The Pandora engagement is the honest counterweight: the client had already built a customer-lifetime-value model that its national marketing teams were not using, and the work was activation and roadmapping rather than modeling.

The weaker fit is a buyer who needs a model built from research rather than from commercial data already in the stack.

### Key strengths
- Outcomes are published with the mechanism attached—33.3 million users into five segments, 327 million predictions, 53 percent subscription growth for Bonnier Publications
- The data path is named on each engagement: CRM, analytics and platform data consolidated into BigQuery before any model is trained
- Twelve case studies, every one with a named client, spanning media, retail, healthcare and education

### Good to know
- The work sits on commercial first-party data—if your problem needs a model trained on something else, ask for that engagement specifically
- The Pandora case is activation of a model the client already had; check which of your candidates' studies are modeling and which are adoption
- Trading since 2005 under a former name and rebranded recently—confirm which team carried over and who would staff you

## Compared head-to-head
- Dear Future vs Alice Labs: https://www.aiagencies.eu/compare/alice-labs-vs-dear-future
- Dear Future vs Klingit: https://www.aiagencies.eu/compare/dear-future-vs-klingit

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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
