# DareData > DareData is a reviewed AI agency in Lisbon, Portugal, listed in the AIAgencies.eu register and last assessed 2026-09-03. Canonical page: https://www.aiagencies.eu/agency/daredata Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold. ## Facts - Location: Lisbon, Portugal - Website: https://www.daredata.ai - Hourly rate: €45-85/hr (directory-listed) - Team size: 50-249 - Founded: 2019 - Services: AI Development, AI Consulting, Generative AI - Industries: Manufacturing, FinTech - LinkedIn: https://www.linkedin.com/company/daredata-engineering ## About DareData is a Lisbon machine-learning and generative-AI engineering firm building production models, document and process automation and data platforms for enterprises in Europe and the Americas. ## Documented clients Documented engagements: NOS, NOS (contact center), Heineken, COFICAB, Greenvolt, Sonae Sierra, WOO, BERD, Euronext, Worten, EDP, and Roche. 10 of 12 carry a source URL on file. ## Curator assessment Reviewed 2026-09-03 by Gabor Kiss against published evidence. The NOS work is the anchor: a GenOS-orchestrated invoice pipeline that now handles around 65% of roughly 20,000 supplier invoices a month end to end, matching them to SAP purchase orders and routing the ambiguous rest to a 20-person review team, plus UVA, a retrieval assistant over 15,000-plus documentation pages that operators rate at 87% answer accuracy on the 20% of calls where it is used. Outside the telco, the Heineken routing engine (an OSRM duration matrix plus constraint optimization) reports €100k in fuel savings and 10% more locations visited per day, and the COFICAB cable-design platform runs surrogate models and an optimizer over 50,000-plus geometry and material combinations, with the engineers on each study named. Two things to weigh: NOS acquired 20% of DareData, so the four NOS studies are partly work for a shareholder, and the COFICAB and UVA pages both label their outcomes as still under measurement, so the hard numbers sit mostly in the invoice and routing work. The weaker fit is buyers who want a model-level technical narrative—the studies name integrations, volumes and team members, not the language models or evaluation setup behind GenOS. ### Key strengths - Directory rates of €45–85/h against named enterprise production systems - Engineering writing with substance: a nugget-based RAG evaluation piece drawn from production work (August 2026) and a LiteLLM supply-chain advisory, next to 18 published success stories - Third-party signals: Clutch 100 fastest-growing 2023, Deloitte Fast 50 Portugal 2025, Google Cloud, Microsoft and NVIDIA partner badges, and 130-plus specialists reported in March 2026 ### Good to know - NOS holds a 20% stake in DareData and supplies four of the 18 published studies—ask for a speakable reference outside the NOS group - The homepage claims 95% production deployments and €100M-plus value generated with nothing on the site behind either figure—ask how they are counted - GenOS is the firm's own platform and sits under the invoice, legal and Greenvolt work—confirm licensing terms and what your team can operate if the engagement ends ## Compared head-to-head - DareData vs Altar.io: https://www.aiagencies.eu/compare/altar-io-vs-daredata - DareData vs Twistag: https://www.aiagencies.eu/compare/daredata-vs-twistag --- 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