# Ultra Tendency > Ultra Tendency is a reviewed AI agency in Berlin, Germany, listed in the AIAgencies.eu register and last assessed 2026-09-09. Canonical page: https://www.aiagencies.eu/agency/ultra-tendency Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold. ## Facts - Location: Berlin, Germany - Website: https://www.ultratendency.com - Hourly rate: not published - Team size: 50-249 - Founded: 2010 - Services: AI Development, AI Consulting, Generative AI - Industries: Manufacturing, FinTech, Public Sector - LinkedIn: https://www.linkedin.com/company/ultra-tendency ## About Ultra Tendency is a big-data and AI engineering firm with a Berlin office, building data platforms, language-model systems and MLOps for automotive, insurance and public-sector clients. ## Documented clients Documented engagements: European Central Bank, HUK-COBURG, Vattenfall, Deutsche Telekom, and Brose Group. 3 of 5 carry a source URL on file. ## Curator assessment Reviewed 2026-09-09 by Gabor Kiss against published evidence. The European Central Bank engagement is the one that settles the credibility question. SPACE, the statistical production platform replacing a twenty-five-year-old system, takes KPI submissions from every eurozone national central bank and carries more than a thousand data scientists and statisticians working in parallel. Ultra Tendency states it is wholly responsible for the architecture, the implementation and the testing, with ninety-six business processes migrated alongside T-Systems, on HBase, Kafka, Spark and Kubernetes. The HUK-COBURG telematics platform has run since 2016 for Germany's largest motor insurer, on Cloudera clusters with an active-active second site and traffic spikes absorbed by AWS. The insurer's own DevOps lead is quoted saying there has not been a single service interruption since implementation, which is a client-side claim rather than a supplier one. Read the portfolio for what it actually is. This is data platform and streaming engineering—ingestion, clusters, migration, monitoring—and the published work does not describe a model, an evaluation or an accuracy figure anywhere. Best for institutions buying the data layer underneath analytics at a scale where downtime is the risk, rather than a team to build and validate models on top of it. ### Key strengths - The European Central Bank platform is described with scope attached: wholly owned architecture and testing, ninety-six migrated business processes, and every eurozone national central bank feeding it - Client-side people are quoted by name at HUK-COBURG and Vattenfall, including the insurer's DevOps lead on uninterrupted service since 2016 - The Vattenfall engagement includes training so the client's own teams can run the platform, with the migration designed for zero downtime and the old cluster retired ### Good to know - The published case studies are data infrastructure—no model, evaluation or accuracy figure appears in any of them; ask for a machine-learning engagement specifically - Headquarters is Colbitz with Berlin as one of several offices—confirm which office staffs your engagement and in which time zone - No team page, headcount or rate is published; ask who the named architects are on a platform you expect to run for years ## Compared head-to-head - Ultra Tendency vs dida: https://www.aiagencies.eu/compare/dida-vs-ultra-tendency - Ultra Tendency vs Merantix Momentum: https://www.aiagencies.eu/compare/merantix-momentum-vs-ultra-tendency --- 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