# Halfspace vs Netcompany

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

## Facts
| | Halfspace | Netcompany |
|---|---|---|
| Editorial score | 65.8/100 | 74.8/100 |
| Hourly rate | not published | not published |
| Team size | 50-249 | 250+ |
| Location | Copenhagen, Denmark | Copenhagen, Denmark |
| Founded | 2015 | 2000 |
| Last reviewed | 2026-09-20 | 2026-09-20 |
| Services | AI Consulting, AI Development, Generative AI | AI Development, Generative AI, AI Consulting |
| Industries | Manufacturing, E-commerce, FinTech | Public Sector, FinTech |

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

The Molslinjen engagement is the one to read: an arrival-forecasting and dynamic-pricing engine for a Nordic ferry operator, credited in the write-up with a DKK 22 million annual earnings increase, a 3% cut in total fuel consumption, 3.5 percentage points fewer delayed departures and 6% more available capacity per departure, with the client's CEO named and on record.

Nordisk Film Cinemas repeats the shape—a 40% cut in operating cost on its data platform, CTO quoted—and the Maersk Drilling work turned thousands of mixed safety documents into one format behind machine-learning recommendations, but no case study read here names a model, an architecture or how a delivered system is monitored afterwards, so the outcome numbers are checkable and the engineering is not.

Much of the published work stops short of a delivered system: the Novo Holdings entry reports use cases identified and a multi-year roadmap, Energinet DataHub an assessment report and quick wins, and the Jyske Bank and Per Aarsleff entries are strategy and exploration.

The weaker fit is buyers who want an independent Copenhagen firm—Accenture acquired Halfspace in March 2025 and the company joined Accenture-owned Faculty in June 2026—so settle who signs the contract, what the rate card is now, and which of the named people stay on your account.

### Key strengths
- Client executives go on record by name and title across the studies read—Molslinjen's CEO, Novo Holdings' CFO, Nordisk Film Cinemas' CTO, Energinet DataHub's VP—so references are traceable
- The team page names its scientists: Chief Scientist Pierre Pinson is an Imperial College professor and Editor-in-Chief of the International Journal of Forecasting, beside Oxford, CERN and DTU PhDs
- Third-party recognition is checkable—a 2024 Franz Edelman Award for operations research, a Børsen Gazelle growth listing and three 2024 Danish Digital Awards, with CVR 13227500 published

### Good to know
- The company page claims more than 100 AI and data projects against roughly 19 published cases—ask for the list behind the number and which of those reached production
- Published technical writing is mostly Azure and NVIDIA product explainers—ask for an engineering write-up of a delivered system if method matters to your evaluation
- No rate is published and delivery now sits inside an Accenture-owned group—ask for the rate card and set it against the European range on our rate index before scoping

## 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 Halfspace for:
- closer collaboration at a smaller team scale
- disclosed specialization in Manufacturing / E-commerce

Choose Netcompany for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Public Sector
- a higher overall editorial score

## Questions buyers ask

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

### Which scores higher overall, Halfspace or Netcompany?
Netcompany scores 74.8/100, 9 points higher than Halfspace at 65.8/100. See our methodology for how scores are calculated.

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