Damavis
Madrid, Spain
About
Damavis is a big-data and machine-learning studio with Madrid and Palma offices building data lakes, models and real-time pipelines for data-driven companies.
Our Take
Two success stories carry real substance and both are anonymized: an entity-resolution model that reconciles a hotel distributor's 400,000-property master against more than 30 supplier feeds, which the write-up describes making those matching decisions unattended every day, and a cache and data-lake rebuild for a tourism company serving over 50,000 requests a minute under 200 milliseconds, with demand and supplier-price models keeping the cache warm.
Both were published in September 2022 and nothing has followed them; the client wall carries 26 logos with no engagement description attached, and the private generative-AI assistant the site now leads with is a product page describing a RAG architecture, with no client running it named.
What is checkable is the bench: 14 named people with LinkedIn and GitHub profiles, most of them data engineers and data scientists, a public GitHub org whose Airflow-Pentaho plugin was still maintained in late 2025, and a technical blog posting one to three pieces a month through September 2026.
Best for travel and hospitality data platforms where the engineering track record matters more than a reference you can call.
Key strengths
- The cache and data-lake study publishes hard figures: 50,000-plus requests a minute under 200ms, 95% better cache efficiency and 45% fewer supplier calls, with two prediction models feeding the cache
- The team page names 14 people with LinkedIn and GitHub links, most of them data engineers and data scientists rather than sales or delivery managers
- Public engineering output is checkable: an Airflow-Pentaho plugin at 40 GitHub stars maintained into late 2025, and a Damavis entry in the Google Cloud partner directory
Good to know
- Every published case is anonymized and the newest dates to September 2022—ask for a speakable reference and a post-2023 engagement before shortlisting
- The private generative-AI assistant is presented as a product page with a demo widget, not as a delivery—ask which clients run it and on whose infrastructure
- The only address published is the registered office in Santa Margalida, Mallorca; if you need people in Madrid, confirm where the delivery team sits
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: Meliá Hotels International, Hotelbeds, and Camper. All 3 carry a source URL on file.
Services
Industries
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