{"schemaVersion":"ready-scan.discovery-surface.v1","id":"urn:readyscan:corpus:evidence:keboola-q123597745","key":"evidence:keboola-q123597745","kind":"evidence","slug":"keboola-q123597745","canonicalUrl":"https://directory.readyscan.ai/corpus/evidence/keboola-q123597745","machineUrl":"https://directory.readyscan.ai/discovery/corpus/evidence/keboola-q123597745.json","datePublished":"2026-07-29","dateModified":"2026-10-26","materialFingerprint":"fnv1a64:69b6e590e6776c4c","membershipFingerprint":"fnv1a64:4eb365109ba85438","relatedEntitySlugs":["keboola-q123597745"],"relatedSurfaceKeys":["buyer_question:keboola-q123597745-answer-050ef72b024692620d2e","buyer_question:keboola-q123597745-answer-2b377b958fcf47f9be1e","buyer_question:keboola-q123597745-answer-4086f083032b240c28ab","buyer_question:keboola-q123597745-answer-48533cc6570d223f5b0b","buyer_question:keboola-q123597745-answer-64b526b630bd92a69f38","buyer_question:keboola-q123597745-answer-784d658b191ee27062ff","buyer_question:keboola-q123597745-answer-ad4a30aedaeaa4f0c951","buyer_question:keboola-q123597745-answer-bcddb198cc65477c9043","buyer_question:keboola-q123597745-answer-cab976fbda76c329c72b","buyer_question:keboola-q123597745-answer-e80fa993c30550c686c7","relationship:keboola-q123597745-products-and-services"],"sourceIds":["ready-scan-subjects"],"provenance":[{"snapshotId":"keboola-q123597745-content-fb9b3dea8654c6d8-snapshot","sourceId":"ready-scan-subjects","sourceRecordId":"Q123597745","sourceRevisionId":"Q123597745:content:e295a6e31c2add4d","sourceContentHash":"fnv1a64:8f5c6cc9f414d840","recordRevisionId":"Q123597745:content:e295a6e31c2add4d","recordContentHash":"fnv1a64:eff9acc9edc3ba9b","sourceCanonicalUrl":"https://www.keboola.com/","sourceModifiedAt":"2026-10-26T15:48:16.283Z","observedOn":"2026-10-26","permission":{"basis":"public_information","evidenceUrl":"https://www.keboola.com/"},"attributionUrl":"https://www.keboola.com/"}],"quality":{"method":"same_kind_unique_trigram_floor","minimumUniqueTrigramRatio":0.3,"status":"passed"},"title":"Keboola — company guide","summary":"Keboola: Czech IT startup. Website: https://www.keboola.com/","facts":[{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-ad4a30aedaeaa4f0c951","label":"What is Keboola's pricing model and how does cost work?","value":"“Keboola offers aconsumption-based pricing modelcombining subscription licensing with usage billing.”","sourceUrls":["https://www.keboola.com/faqs"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-bcddb198cc65477c9043","label":"How does Keboola differentiate from competitors like Fivetran and Snowflake?","value":"“Keboola's differentiation centers onend-to-end platform scopeversus point solutions: vs. Fivetran:While Fivetran handles data ingestion only, Keboola covers ingestion, transformation, orchestration, governance, and AI automation in one unified environment vs.”","sourceUrls":["https://www.keboola.com/faqs"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-cab976fbda76c329c72b","label":"What deployment options and data warehouses does Keboola support?","value":"“Three deployment models: Multi-tenant SaaS:Keboola manages all infrastructure. Available stacks: AWS US/EU, Azure EU, GCP US/EU Multi-tenant with BYODB:Data stays in customer-owned Snowflake or BigQuery while Keboola manages orchestration Single-tenant:Complete Keboola stack within customer cloud (AWS, Azure, GCP).”","sourceUrls":["https://www.keboola.com/faqs"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-784d658b191ee27062ff","label":"Who is Keboola designed for and what are the ideal use cases?","value":"“Keboola serves three primary audiences: Data engineersbuild and manage scalable data pipelines without infrastructure overhead Data analysts and scientistsleverage SQL and Python transformations plus interactive workspaces for analysis CxOs and business leaderseliminate shadow IT/AI, consolidate fragmented data tools, and reduce time-to-insight AI and vibe coders—developers building with AI-first tools like Claude, Cursor, or Windsurf—can control Keboola entirely through natural language.”","sourceUrls":["https://www.keboola.com/faqs"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-e80fa993c30550c686c7","label":"What is Keboola and what are its core capabilities?","value":"“Keboola is aunified AI & Data Platformdesigned to support autonomous AI operations with enterprise-grade reliability and security. Unlike point solutions, Keboola integrates the entire data stack into a single governed environment.”","sourceUrls":["https://www.keboola.com/faqs"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-4086f083032b240c28ab","label":"Can we start with a pilot before rolling out to all entities?","value":"“Yes – and that's often the recommended approach.”","sourceUrls":["https://www.keboola.com/faqs"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-3d014ba3875938809925","label":"ESG Reporting & Carbon Footprint Management","value":"“Automate CSRD & GHG compliance with unified ESG data. Track carbon footprint, generate audit-ready reports, and reduce manual effort by 80%. Enterprise-grade governance built-in.”","sourceUrls":["https://www.keboola.com/solutions/esg"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-942afb54686f4817ddee","label":"Financial Services Data Platform","value":"“The auditable, governed data foundation that makes AI deployable in finance. Self-service for hundreds of users, AI agents that pass an audit, and a European data platform that never leaves the jurisdiction that regulates it.”","sourceUrls":["https://www.keboola.com/solutions/finance"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-64b526b630bd92a69f38","label":"What is a financial intelligence platform — and what is Keboola Financial Intelligence?","value":"“A financial intelligence platform pairs a governed financial data foundation with a workspace for daily finance work. Keboola Financial Intelligence connects your ERPs, spreadsheets, and operational systems into one semantic layer at journal-entry level, then brings monitoring, investigation, reporting, and planning into the CFO Daily OS — its governed finance workspace.”","sourceUrls":["https://www.keboola.com/solutions/financial-intelligence"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-050ef72b024692620d2e","label":"What is the CFO Daily OS?","value":"“The CFO Daily OS is the governed workspace inside Keboola Financial Intelligence for daily finance work: 1. Control Room dashboards on 128 server-computed finance metrics.”","sourceUrls":["https://www.keboola.com/solutions/financial-intelligence"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-2b377b958fcf47f9be1e","label":"How does intelligent planning and analytics (iP&A) differ from FP&A and xP&A?","value":"“BARC's iP&A framing connects planning and analytics continuously rather than treating them as separate cycles. FP&A typically reports and plans within finance; xP&A extends planning across departments. In Keboola, agents monitor actuals continuously, every metric resolves through one governed definition, and planning can run as Monte Carlo simulation with P10–P90 bands instead of relying only on an annual exercise.”","sourceUrls":["https://www.keboola.com/solutions/financial-intelligence"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-48533cc6570d223f5b0b","label":"Can we trust AI answers on financial data?","value":"“AI answers should be reviewed against governed definitions and lineage. When an AI agent queries through Keboola's semantic layer, it uses your company's validated metric definitions, while the underlying financial numbers remain traceable to source journal entries.”","sourceUrls":["https://www.keboola.com/solutions/financial-intelligence"]},{"id":"content-native-digital-agencies-9a2553f5f628ca3e-a-2b2d0ee4f4eea2e74b7c","label":"Marketing Agency Data Platform","value":"“The data platform behind agency-grade work. Run AI agents per client with full governance and lineage. Replace Supermetrics, Funnel, Improvado, reverse-ETL with one platform. Build MMM, attribution, and incrementality models in SQL, dbt, Python, R, or Julia. Trusted by Publicis Groupe across 50+ subsidiary offices.”","sourceUrls":["https://www.keboola.com/solutions/marketing-agency"]},{"id":"source-description","label":"About","value":"Czech IT startup.","sourceUrls":["https://www.wikidata.org/wiki/Special:EntityData/Q123597745.json?revision=2174448565"]},{"id":"source-listed-website","label":"Website","value":"https://www.keboola.com/","sourceUrls":["https://www.wikidata.org/wiki/Special:EntityData/Q123597745.json?revision=2174448565"]}]}