We grow based on verifiable science, not just ideas. As a Deep Tech company, CREAIM continuously produces proprietary research, experiments, and internal verification reports (Whitepapers) on core technologies, with some research preparing for global top conference submission.
Proposes an autonomous design-verification feedback loop structure where AI receives natural language requirements, generates RTL, and relearns from PPA (Power, Performance, Area) simulation feedback.
Proposes a new architecture suppressing hallucination rate below 0.1% by verifying factuality, logic, and evidence at the kernel layer when AI generates answers.
Describes an AI-dedicated long-term memory system storing relationships, structures, and contexts beyond vector DBs.
Defines Visual DNA (Style & Structure Vector) to solve character and style consistency collapse in generative models, introducing consistency control technology based on it.