# Dear Future vs Klingit

> Comparing AI SEO options: Copenhagen vs Stockholm. 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/dear-future-vs-klingit
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Dear Future | Klingit |
|---|---|---|
| Editorial score | 61.8/100 | 52.8/100 |
| Hourly rate | not published | not published |
| Team size | 50-249 | 50-249 |
| Location | Copenhagen, Denmark | Stockholm, Sweden |
| Founded | 2005 | 2021 |
| Last reviewed | 2026-09-09 | 2026-08-05 |
| Services | AI SEO, AI Consulting, AI Development | AI Video, AI Marketing, AI SEO |
| Industries | E-commerce, SaaS & B2B | E-commerce, SaaS & B2B, Healthcare |

## Our take on Dear Future
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

## Our take on Klingit
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

A creative production company that delivers on subscription, and the reason it is listed here is narrow and specific: it produces campaign work generatively, and says so.

The LOOP brief is explicit—create AI-generated video for a nicotine-pouch launch, fast and within budget—and the client's marketing director is quoted by name. Häxan, a Swedish household brand from the early 1900s, ran a Halloween campaign whose imagery was generated because a photoshoot was out of reach; its co-owner is quoted saying so directly, including that dynamic visuals would otherwise have cost another $10,000.

Behind that sits an in-house generation engine for on-brand images, illustrations and 3D renders.

Everything else in the portfolio is design: visual identity for Doktera, Capway and Movement Software, brand and campaign work for Kry and foodora. This is not an AI consultancy and does not claim to be. Listed under AI Video and AI Marketing, which is what it actually does—hire it for production economics, not for a system.

### Key strengths
- Two named-client campaigns where generative production is the delivery method, both with attributed client quotes explaining the cost case
- An in-house generation engine tuned to a brand's own assets, rather than generic tooling applied per project
- A subscription model with 80-plus creatives, which suits continuous campaign output rather than one-off projects

### Good to know
- This is production, not engineering—there is no system delivered and no model built for you
- Most of the portfolio is conventional design and brand work; the AI is a method inside it, not the offer

## Which to choose
Choose Dear Future for:
- broader service offering — also covers AI Consulting and AI Development
- a higher overall editorial score

Choose Klingit for:
- disclosed specialization in Healthcare
- broader service offering — also covers AI Video and AI Marketing

## Questions buyers ask

### Which has more E-commerce experience, Dear Future or Klingit?
Both agencies show documented E-commerce work. Klingit has the broader industry stack overall, with disclosed experience in Healthcare beyond their shared focus.

### Which scores higher overall, Dear Future or Klingit?
Dear Future scores 61.8/100, 9 points higher than Klingit 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 Dear Future and Klingit?
Consider running parallel discovery briefs with Dear Future and Klingit 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