Inspari
Copenhagen, Denmark
About
Inspari is a Danish Microsoft data and AI consultancy in greater Copenhagen, delivering data strategy, analytics and AI for enterprise clients.
Who They Work With
Nordic enterprises already running a Microsoft or Snowflake data platform that want AI built on top of it, not a standalone pilot.
Based on 3 client engagements with a source URL · researched 20 Sept 2026
Our Take
The Danske Fragtmænd engagement is the one to read: Inspari's data scientists built a Python model on the client's Snowflake platform that matches GPS pings from about 1,300 trucks, sent every 15 seconds, against geo-JSON maps of tolled roads and Brobizz transaction data—scoped in October 2024, live for the January 2025 road-toll law, and running daily at roughly 98% accuracy.
Energinet's KriterioBot went from start to launch in under six months and drafts award criteria, weightings and prose for EU tenders out of the utility's own tender history on OpenAI models, citing the source documents behind every suggestion—the case reports hours saved but publishes no figure.
Those two sit inside a published index of roughly 60 cases that is mostly Microsoft Fabric, Power BI and cloud platform work: the Uhrenholt cross-sell model was still with a test group when its case was written, and the three generative-AI studies published without a client name carry no numbers at all.
The weaker fit is buyers who want a standalone AI team—the visible AI work is built on data platforms Inspari also designs and operates, most of them Microsoft or Snowflake.
Key strengths
- Case studies quote the client's own executives by name and title—Danske Fragtmænd's Head of BI & ERP and Energinet's Director of Commercial Legal are both on the record
- Microsoft depth is corroborated rather than claimed: 210 Microsoft certifications across the bench, two MVPs and five Partner of the Year awards, alongside Snowflake and Databricks delivery
- The automation cases publish their own numbers: 40 hours a month saved on invoice handling at Eventyrsport and 280 hours a year at Flexo Wash, both robotic process automation rather than AI
Good to know
- Ask which AI case has an outcome figure behind it: only the Danske Fragtmænd accuracy number is published, and the hours saved at Energinet are described but never quantified
- Two published cases—Toyota's conversational AI and Swarovski's planning solution—are labeled 'powered by valantic', the group Inspari belongs to; ask which entity would staff yours
- The site names its leadership but no ML engineers or data scientists; ask for the named people who would build and retrain your model, and who operates it after handover
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 20 Sept 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
Notable Clients
Documented engagements: Danske Fragtmænd, Energinet, Uhrenholt, Danske Shoppingcentre, and Pandora. All 5 carry a source URL on file.
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