Yoku Reviews & Provider Details

Yoku is a developer-first brand and company intelligence API solution that helps software teams convert simple identifiers (such as a domain, company name, email domain, stock ticker, ISIN, national registry ID, or transaction descriptor string) into structured, normalized company context that can be used in product experiences, data pipelines, and AI systems. Designed as an infrastructure layer for B2B software, Yoku aggregates and standardizes brand identity data (logos, colors, typography, screenshots), legal and registry identifiers across jurisdictions, corporate relationships, financial and workforce indicators, industry classifications, reputation signals, and technology stack detection into a single unified schema. This allows SaaS platforms, fintech products, CRMs, marketplaces, analytics tools, and AI applications to resolve "who is this company?" and "how should it be represented?" without maintaining multiple providers, scraping workflows, or manual brand asset collection. Yoku is commonly used for brand-aware onboarding and theming, transaction-to-merchant recognition, company enrichment in CRMs and internal tools, entity normalization across countries, and authoritative context for LLMs and AI agents to reduce off-brand or incorrect outputs. The platform operates as a multi-tenant SaaS with organization management, scoped API keys, usage tracking, rate limiting, and refresh pipelines so teams can integrate it into production systems with predictable operational controls. Key capabilities include: - Brand identity & visual assets: multi-format logos, icons, screenshots, color palettes, typography detection, and JSON-style guide extraction. - Company & legal intelligence: legal entity types, global identifier normalization (including registry IDs), and parent/subsidiary relationship modeling. - Financial, workforce, and leadership signals: normalized financial statement fields where available, workforce sizing, and executive/board roles. - Classification, reputation, and tech stack data: cross-system industry mappings (e.g., NAICS/NACE/SIC), aggregated rating signals, and detected technologies with confidence scoring. - Trust and operations layer: verification workflows, moderation and reporting, attribution tracking, webhooks, and scheduled refresh/invalidation infrastructure.