Agency Comparison
ML6 vs Netcompany
Comparing AI Consulting options: Ghent vs Copenhagen.
Comparison updated · Newest review
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | ML6 | Netcompany |
|---|---|---|
| Editorial score | 74.8/100 | 74.8/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | 50-249 | Larger team: 250+ |
| Location | Ghent, Belgium | Copenhagen, Denmark |
| Founded | — | 2000 |
| Last reviewed | Aug 4, 2026 | More recent review: Sep 20, 2026 |
What we said about each
Our take on ML6
The published case library runs to 34 studies, and the ones read in full carry before-and-after numbers rather than adjectives—Scout24's HeyImmo assistant moved user satisfaction from 68% to 75% and first-token latency from 8 seconds to under 5, and Syngenta's lab-inspection vision model doubled analysis speed across half a million wells a year. Studies name the stack down to the component (OpenAI direct API, Pydantic agents, DataDog on Scout24's own AWS; Vertex AI for Syngenta) and describe…
Reviewed Aug 4, 2026
Read the full assessment →Our take on Netcompany
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…
Reviewed Sep 20, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose ML6 if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Manufacturing
- broader service offering — also covers AI Agents
Choose Netcompany if you need
- larger team capacity for multi-stream or enterprise-scale programs
- an overall editorial score of 74.8/100
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
ML6
Strengths
- Case studies publish client-side quotes from named engineering managers, not marketing testimonials
- Published outcomes at the national cyber security center include 3x faster vulnerability handling and 70% faster NIS2 response
- Both major clouds are in evidence—AWS and Google Vertex AI appear in separately documented builds
Watch-outs
- Two energy studies run anonymized as "Energy Company"—ask for a speakable reference if you need one in that sector
- No published rates, team size, or founding year; anchor with the European range on our rate index and ask who staffs the work
- Delivery sits across four offices—confirm which one your team would come from
Netcompany
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
Watch-outs
- 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
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which has more FinTech experience, ML6 or Netcompany?
- Both agencies show documented FinTech work. ML6 has the broader industry stack overall, with disclosed experience in Manufacturing beyond their shared focus.
- Which scores higher overall, ML6 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 ML6 and Netcompany?
- Consider running parallel discovery briefs with ML6 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.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.