# Adastra vs Netcompany

> Comparing AI Consulting options: Frankfurt vs 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/adastra-vs-netcompany
Generated: 2026-09-20 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Adastra | Netcompany |
|---|---|---|
| Editorial score | 74.8/100 | 74.8/100 |
| Hourly rate | not published | not published |
| Team size | 250+ | 250+ |
| Location | Frankfurt, Germany | Copenhagen, Denmark |
| Founded | 2000 | 2000 |
| Last reviewed | 2026-09-16 | 2026-09-20 |
| Services | AI Consulting, AI Development, Generative AI | AI Development, Generative AI, AI Consulting |
| Industries | FinTech, Manufacturing, Public Sector | Public Sector, FinTech |

## Our take on Adastra
Reviewed 2026-09-16 by Gabor Kiss against published evidence.

NLB is the study that settles the deployment question: the Slovenian bank put an agentic-AI control layer and its first use case into production in five months, with identity-based approvals through Entra ID, separated development, test and production environments, cost monitoring on Grafana dashboards and a published 80% cut in the time and cost of standing up each further use case.

Two more named systems sit behind it—GenAI enterprise search for KWS on Amazon Bedrock, OpenSearch and SageMaker, delivered inside a Microsoft Teams channel, and a print-bundling optimizer for GZ Media that went from proof of concept to a production application with errors reported down to zero.

Depth across the rest of the library is uneven: much of it is Power BI, Microsoft Fabric and Databricks reporting work rather than AI, the Magna Bohemia planning story is written in the future tense with no measured outcome, and the GZ Media headline states a six-month ROI that its own body describes as the proof of concept's projection.

The weaker fit is buyers who want a small senior team on one model end to end—the pattern here is platform and governance work staffed from a practice the site puts at more than 150 AI specialists across six countries.

### Key strengths
- Client executives go on the record by name and title—NLB's CIO and AI architect, GZ Media's print production director, Magna Bohemia's CEO—so references are traceable before the first call
- German delivery is not a sales address: four offices with street addresses in Frankfurt, Wolfsburg, Munich and Hannover, a named German CEO and a named German AI lead
- The German-language index lists further AI engagements at E.ON, KUKA, ams OSRAM and Hyundai, so the German book is not one story deep

### Good to know
- No rate is published anywhere read—ask for a blended day rate and for the split between German and Czech or Slovak delivery before comparing bids
- The 150-plus AI specialists and 20-plus years are the firm's own figures—ask how many sit in the German practice and who would staff your engagement
- Governance is the visible strength; if you need the model built and evaluated, ask for the evaluation method and accuracy numbers behind a delivered use case

## Our take on Netcompany
Reviewed 2026-09-20 by Gabor Kiss against published evidence.

Three named AI systems are documented as running rather than piloted: DSB's train-delay swarm, a model per railway line orchestrated by the firm's PULSE platform, which predicts arrival to within three minutes at 95 percent accuracy; Topdanmark's TopGPT, which masks personal data on locally hosted models before a retrieval step reads the customer's own policy, live around the clock since April 2024 and past 80,000 conversations by that November; and Copenhagen Airport's luggage-timestamp model, in production since 2016 and retrained whenever it drifts.

The AI work is a minority of what the firm publishes—the case index is dominated by large public-sector and enterprise IT delivery for the European Commission, NHS England and the UK Ministry of Defence—and the European Commission's FERMI disinformation tool has completed three police pilots on live data rather than a full deployment.

What raises confidence is what the write-ups admit: the Copenhagen Airport study records the queue-prediction model that never reached production beside the two that did, so ask for the same candor about your own use case.

The weaker fit is a buyer wanting one scoped model from a small team—this is a listed group of more than 9,500 people that builds on its own platforms and expects to operate what it builds, so settle minimum engagement size and account staffing before scoping.

### Key strengths
- Case studies name the firm's own engineers—Mathias Engel on the DSB swarm, Sine Abildgaard Rosenberg on Copenhagen Airport's hazard models—so you can see who built the work, not only who sold it
- Operational detail is published rather than implied: the airport's hazard model is re-evaluated every six months, and TopGPT is audited continuously through a generative-AI evaluation framework
- Facts check out away from the site: Netcompany Group A/S is a listed Danish company, CVR 39488914, founded in Copenhagen in 2000 and reporting 9,500-plus staff across more than 10 countries

### Good to know
- Nothing published indicates cost or minimum engagement size—ask for a commercial frame early, since the documented work runs in years and at national scale (Copenhagen Airport 2015–2023)
- The three AI systems carrying figures are all Danish; if your brief sits in another country, ask which local team delivered the closest comparable and ask to speak to it
- Delivery runs on the firm's own platforms—PULSE, EASLEY AI, PERSEUS—so confirm what you would owe operationally, and on what terms, if you later move off them

## Which to choose
Choose Adastra for:
- disclosed specialization in Manufacturing
- an overall editorial score of 74.8/100

Choose Netcompany for:
- an overall editorial score of 74.8/100

## Questions buyers ask

### Which has more FinTech experience, Adastra or Netcompany?
Both agencies show documented FinTech work. Adastra has the broader industry stack overall, with disclosed experience in Manufacturing beyond their shared focus.

### Which scores higher overall, Adastra or Netcompany?
Both score equally well overall (74.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.

### When should I consider both Adastra and Netcompany?
Consider running parallel discovery briefs with Adastra and Netcompany 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