# Visium vs Zühlke

> Two top-rated AI Consulting agencies in Zurich. 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/visium-vs-zuehlke
Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Visium | Zühlke |
|---|---|---|
| Editorial score | 70.8/100 | 65.8/100 |
| Hourly rate | not published | not published |
| Team size | 50-249 | 250+ |
| Location | Zurich, Switzerland | Zurich, Switzerland |
| Founded | 2018 | 1968 |
| Last reviewed | 2026-08-07 | 2026-08-07 |
| Services | AI Consulting, Generative AI, AI Development | AI Development, AI Consulting |
| Industries | Healthcare, FinTech, Manufacturing | FinTech, Healthcare, Manufacturing |

## Our take on Visium
Reviewed 2026-08-07 by Gabor Kiss against published evidence.

The case library is pharma-weighted and unusually specific: a system called DiSMOL using natural-language processing to pull patient-reported outcomes from clinical notes for Idorsia, an AI model generating chemical formulas for dsm-firmenich, sound-based machine analytics preventing downtime at Nestlé, and borehole data extraction for swisstopo.

Anonymized engagements carry the sharper numbers—pathology report abstraction 90% faster, peptide order-processing translation validated in under 60 days—and the pattern of naming the client where it can and describing the method where it cannot is the right way round.

The site publishes 250+ AI projects, 50+ enterprise clients and 70+ AI and data staff, none of which is independently verifiable, so treat the counts as claims and the case studies as evidence.

### Key strengths
- Five named clients spanning pharma, flavor chemistry, food manufacturing and Swiss federal government
- Published outcome figures on anonymized pharma work, including pathology report abstraction 90% faster
- Microsoft Solutions Partner for Data & AI, with 30 case studies published rather than three

### Good to know
- No team page names individual ML engineers—ask who builds versus who sells before scoping
- The headline project and client counts are self-reported with no breakdown; ask which of the 250 resemble yours
- Founded 2018, so there is less delivery history behind it than the older Swiss firms on this list

## Our take on Zühlke
Reviewed 2026-08-07 by Gabor Kiss against published evidence.

Seven published case studies name their client, which is rare in this market: an investment recommender for VP Bank paired with a compliance engine that filters clients automatically, generative-AI foundations at Julius Baer, a real-time Airport Operations Plan at Zurich Airport, and machine-learning churn prediction at localsearch.

What the case studies mostly do not carry is a number—the systems are described, the outcomes are not quantified, so you will be judging approach rather than measured effect.

The imprint lists separately registered entities in ten countries with a named CEO for each, which is the kind of footprint that changes how an engagement is staffed and priced.

The weaker fit is a team wanting a fast, cheap prototype; this is an engineering firm that has been trading since 1968 and scopes accordingly.

### Key strengths
- Eleven named clients across banking, aviation, health and energy, including HSBC, NHS, Kardex, UNIQA and National Grid ESO
- The VP Bank build put compliance filtering into the architecture rather than into a policy document—useful precedent if you are buying under supervision
- Swiss entity registered at Schlieren, with an engineering practice that long predates the AI practice sitting inside it

### Good to know
- Published case studies rarely include outcome metrics—ask for the before/after numbers on any engagement you are using as precedent
- No published rates; anchor against the European range on our rate index and expect this firm above it
- Delivery may be staffed from any of ten country entities—confirm which office actually holds your team

## Which to choose
Choose Visium for:
- closer collaboration at a smaller team scale
- broader service offering — also covers Generative AI
- a higher overall editorial score

Choose Zühlke for:
- larger team capacity for multi-stream or enterprise-scale programs
- an overall editorial score of 65.8/100

## Questions buyers ask

### Which has more Healthcare experience, Visium or Zühlke?
Both agencies show documented Healthcare work and have similar industry breadth. Compare directly on the agency profiles: Visium and Zühlke.

### Which scores higher overall, Visium or Zühlke?
Visium scores 70.8/100, 5 points higher than Zühlke at 65.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### When should I consider both Visium and Zühlke?
Consider running parallel discovery briefs with Visium and Zühlke 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