CUBIG

Seongnam, South Korea · ≈11 employees · cubig.ai

CUBIG builds the AI-Ready Data Operating Layer between enterprise data management and AI execution. A model or agent may work in one test, then behave differently when the data, prompt, policy, permissions, or operating environment changes. CUBIG helps teams determine whether a data state fits a defined AI task and maintain the evidence needed as that task moves into operation. 3 domains of AI readiness → Baseline: diagnose general Core Readiness across six axes → Qualification: define the Target, refine the relevant data, generate Proof Run evidence, and issue a Qualification Result → Assurance: connect Releases to actual runs, record relevant changes, and determine when Requalification is required 1 platform. 2 ways to start. Syntitan is CUBIG’s AI-Ready Data Platform and the long-term operating destination for teams managing repeated Runs, Releases, Changes, and Requalification. Teams can also start independently with: → DTS : an AI-ready data transformation engine → LLM Capsule : a context-preserving data layer for AI Both remain core capabilities within CUBIG’s Syntitan-centered strategy. Follow CUBIG for practical guidance on AI-ready data, product updates, implementation evidence, and the operating decisions behind repeatable enterprise AI.