Quarrio often gets compared to ChatGPT, but there are distinct differences. ChatGPT predicts and probabilistically generates answers to questions (guesses), whereas Quarrio has semantic understanding/comprehension and computes answers that are accurate, explainable, and verifiable. With ChatGPT, unless you know the answer beforehand, users cannot determine whether the answer is correct or incorrect or even the degree of correctness. ChatGPT is not intelligence at all — the user must have intelligence and discernment. This is not the case with Quarrio.

It’s really two different technology approaches, where Quarrio is a semantic engine (understands meaning) that delivers accuracy, explainability, and verifiability while ChatGPT is a probabilistic text generator. This difference in approach results in different use cases as well — Quarrio is applicable in operational use cases where the user seeks accurate information from structured or semi-structured data (think banking, other financial institutions, healthcare, pharma, utilities, etc.) while ChatGPT and other LLMs/Transformers are more useful l in generating marketing and other copy (media, eCommerce, etc.) and for enhancing traditional search applications to find answers from unstructured documents.