# 2021.AI vs Dear Future

> Two top-rated AI Consulting agencies in Copenhagen. 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/2021-ai-vs-dear-future
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | 2021.AI | Dear Future |
|---|---|---|
| Editorial score | 64/100 | 61.8/100 |
| Hourly rate | €130-175/hr (directory-listed) | not published |
| Team size | 50-249 | 50-249 |
| Location | Copenhagen, Denmark | Copenhagen, Denmark |
| Founded | 2016 | 2005 |
| Last reviewed | 2026-09-03 | 2026-09-09 |
| Services | AI Consulting, AI Development, Generative AI | AI SEO, AI Consulting, AI Development |
| Industries | FinTech, Public Sector, Healthcare | E-commerce, SaaS & B2B |

## Our take on 2021.AI
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

Four named clients show completed AI systems, not pilots: a GRACE-platform virtual assistant answering patient questions live at Rigshospitalet, a computer-vision proctoring system deployed for Prometric, a recommendation engine BetterNow expects to lift average campaign performance by about 45%, and 20-plus forecasting models that improved Maersk Tankers' freight-price accuracy by 20%.

Every one of these systems runs on 2021.AI's own GRACE platform, so the technical narrative centers on governance and deployment tooling more than on model architecture or evaluation detail—ask what sits underneath GRACE if you need that level of specificity.

The weaker fit is buyers who want a bespoke build outside 2021.AI's platform, since every published deployment runs on GRACE by design.

### Key strengths
- Client testimonials come from named executives, including Maersk Tankers' Chief Digital Officer and BetterNow's CEO, not anonymous quotes.
- The Rigshospitalet assistant explicitly uses retrieval-augmented generation over clinically approved sources, with every response logged for traceability.
- Founded in 2016 with offices across five countries and 65-plus staff, more institutional depth than a single-city boutique.

### Good to know
- Ask whether your project would run on GRACE's standard workflow or require custom architecture outside the platform.
- The 84%-auto-routed email system and its 80% time-saving figure belong to an anonymized regulatory authority—ask for a speakable reference before treating that number as typical.
- Rates aren't published on the agency's site—confirm current pricing directly rather than relying on the directory's listed range.

## 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

## Which to choose
Choose 2021.AI for:
- disclosed specialization in FinTech / Public Sector
- broader service offering — also covers Generative AI
- a higher overall editorial score

Choose Dear Future for:
- disclosed specialization in E-commerce / SaaS & B2B
- broader service offering — also covers AI SEO

## Questions buyers ask

### Which scores higher overall, 2021.AI or Dear Future?
2021.AI scores 64/100, 2.2 points higher than Dear Future at 61.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### When should I consider both 2021.AI and Dear Future?
Consider running parallel discovery briefs with 2021.AI and Dear Future 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