Intuizi conducted an interview titled Uncaged discussing the difference between LLMs and LQMs.

Intuizi provides Large Quantitative Models (LQMs) and the rich datasets they generate. Our models use de-identified consumer data from top Signal Providers, leveraging proprietary algorithms to build the Anonymous Knowledge Graph (AKG). Our signal processing platform and the Anonymized Knowledge Graph (AKG) bridge data consent owners and providers, enabling compliant, addressable insights into consumer behavior across the digital and the physical. The AKG offers a versatile way to query vast amounts of de-identified data with easy integration and diverse use cases. Signal Providers to Intuizi de-identify their consented consumer-derived data using advanced encryption, salting, and hashing — ensuring consumers remain completely de-identified. In return, they gain access to valuable insights that drive ad sales, enhance consumer understanding, and licensing revenue. Intuizi platform users derive value from de-identified data - whether for modelling, insight, audience curation or a multitude of other use cases.