# Intellishore

> Intellishore is a reviewed AI agency in Copenhagen, Denmark, listed in the AIAgencies.eu register and last assessed 2026-09-03.

Canonical page: https://www.aiagencies.eu/agency/intellishore
Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Copenhagen, Denmark
- Website: https://intellishore.dk
- Hourly rate: not published
- Team size: 50-249
- Founded: 2013
- Services: AI Consulting, AI Development
- Industries: Healthcare, Public Sector
- LinkedIn: https://www.linkedin.com/company/intellishore

## About
Intellishore is a Copenhagen analytics and strategy consultancy pairing strategic advisory with data-science and AI delivery, weighted toward life sciences.

## Documented clients
Documented engagements: Takeda, Novo Nordisk, and AstraZeneca. No source URL is on file for these yet.

## Curator assessment
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

The published case studies show two real production systems: a sales-forecasting workbench that reached 90-99% accuracy and was adopted in 7 of 10 target markets within 4 weeks of kickoff, and a GPT-4o-based medical-insights assistant that 87% of users say improves task performance, with an estimated €2 million in annual savings across 120 users.

Every one of the 8 published pharma case studies names the client only as "a global pharma company" or similar, and the trusted-by logos on the homepage (Takeda, Novo Nordisk, AstraZeneca, UNHCR) are never tied to a specific project, so you cannot confirm which client ran which system.

Best for life-sciences buyers who accept the anonymized-case norm common in regulated pharma work in exchange for sector-specific delivery depth; ask for a speakable reference before committing budget.

### Key strengths
- Stack is named consistently rather than left generic: XGBoost and AWS SageMaker for forecasting, GPT-4o and Power BI for the medical-insights assistant.
- Case studies read as engineering narratives, documenting the specific business trigger behind each build rather than generic marketing framing.
- A named consultant with direct phone and email is listed on every case study, giving you someone specific to reach for deployment questions.

### Good to know
- Ask which named contact on a case study actually built the system, since titles listed are account and practice roles, not confirmed engineering roles.
- Ask whether an anonymized case-study client can be referenced by name before relying on its published metrics.
- No published hourly rate—get a quote early and anchor the conversation against the European range on our rate index.

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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