# Datamole > Datamole is a reviewed AI agency in Prague, Czech Republic, listed in the AIAgencies.eu register and last assessed 2026-09-20. Canonical page: https://www.aiagencies.eu/agency/datamole Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold. ## Facts - Location: Prague, Czech Republic - Website: https://www.datamole.ai - Hourly rate: not published - Team size: 50-249 - Founded: 2015 - Services: AI Development, AI Consulting, AI Automation - Industries: Manufacturing, Healthcare, SaaS & B2B - LinkedIn: https://www.linkedin.com/company/datamole ## About Datamole is a Prague data and AI company building machine learning, computer vision and IoT systems for agricultural, industrial and life-sciences clients, with a second office in Brno. ## Documented clients Documented engagements: Lely, Thermo Fisher Scientific, Agrifac, and Cup&Cino. All 4 carry a source URL on file. ## Curator assessment Reviewed 2026-09-20 by Gabor Kiss against published evidence. The deepest published work is all one client: Lely's milking-routine personalization calculates an optimal treatment per cow on every robot visit, fed by Datamole's IIoT platform collecting from more than 30,000 robots worldwide across 5 million daily milking sessions, and the write-up reports up to 80 percent fewer non-optimal milkings and 0.2 kg more milk per robot-minute. The Lely Service Support App is the second full write-up and scaled from one service center to more than 200 centers and 2,000 regular users over eight years of collaboration, though it is service analytics and an app rather than a model in the loop. Beyond those, the case index is two-sentence summaries—Agrifac sprayer telemetry, Cup&Cino device data, Thermo Fisher Scientific microscope condition monitoring—and the third full page, Calf2Cow, is a Eurostars-2 and Horizon 2020 co-funded project run with Triodor and Lely rather than a client engagement, so ask for the list behind the "100+ successful projects" and ">80% of projects deployed" figures. The weaker fit is a buyer shopping for generative or agentic AI—nothing published describes LLM work, and the visible depth is industrial IoT, predictive models and the applications built on top of them. ### Key strengths - Testimonials are attributed by name and title—Marc Biermann, CTO at Cup&Cino; Ondřej Krupka, Product Owner at Thermo Fisher Scientific; Rik Steenberger, Senior Product Engineer at Lely - Engagements run long rather than one-off: the Lely service app is documented across eight years, and the about page states most customers form a multiyear collaboration - Registered Czech entity (company number 03742709) with a named CEO and CTO who both hold technical leads, plus a Datamole AI & IoT laboratory at CTU Prague's FIT faculty ### Good to know - Client concentration is the first thing to probe—four of the eight case-index entries are Lely; ask for two speakable references outside agriculture before shortlisting - No rate is published on the site—ask for a day rate and the team composition behind it early, and check them against the European range on our rate index - No case study names a model, framework or cloud stack—ask for an architecture walkthrough and for who operates and retrains the models after handover ## Compared head-to-head - Datamole vs DataSentics: https://www.aiagencies.eu/compare/datamole-vs-datasentics - Datamole vs Geneea: https://www.aiagencies.eu/compare/datamole-vs-geneea --- 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