200+ connectors — every source, no latency, no code.
Contextualize, model and prepare data for every team.
Governed, lineage-traced, compliant by design.
Copilots, agents, data products and APIs that act.
Unifies L'Oréal's China market data—sales, e-commerce, retail, supply chain, and consumer insights—into a single, governed business view.
Models relationships between products, consumers, channels, competitors, and regulatory events—revealing causal chains and business drivers.
Conversationally answers leadership questions—grounded in unified, governed data, and always explainable.
Automates margin, growth, and compliance actions—posting transactions to SAP, Salesforce, Tmall, and regulatory portals.
Connects to SAP, Salesforce, Oracle, Tmall, JD.com, Douyin, WeChat, and Gov Portal—200+ pre-built connectors.
Maps and tags key business entities—products, consumers, channels, SKUs, regulatory events—across systems.
Builds business 360s and a knowledge graph—modeling relationships, causality, and incident paths.
Applies data lineage, quality, and access controls—ensuring compliance and explainability.
SCIKIQ delivers 85% faster data integration and 90% lower IT cost—no-code, AI-first, and proven in global beauty. Avoid years of custom build, unlock agentic execution in months.
SCIKIQ unifies data, models causality, and automates action—beyond dashboards. Leaders get answers and fixes, not just reports.
SCIKIQ contextualizes beauty business entities—products, consumers, channels, compliance—into a knowledge graph and agent factory, not just raw data pools.
SCIKIQ grounds GenAI in governed, explainable business data—delivering trusted, actionable answers and autonomous execution, not hallucinated chat.
Unifies sales, competitor, and regulatory data to detect margin erosion, trace root cause, and trigger dynamic pricing/campaign actions—protecting €32M gross margin.
Maps regulatory events to product SKUs, quantifies incident risk, and automates compliance resolution—avoiding up to ¥210M penalties.
Integrates inventory, sales, and campaign data to detect stockouts, reason over demand, and autonomously reallocate/replenish—protecting €12M sales.
Unifies consumer sentiment and repeat rate data, traces dips to root cause, and launches personalized campaigns—driving €8M incremental sales.
Detects competitor moves, models impact on channel share, and triggers agentic actions to recover market share across Tmall, JD.com, Douyin, and WeChat.