A New Generation of Reliable AI

qati.ai moves beyond the limitations of a single LLM to deliver corrected, improved, reliable answers.

QATI Process Flow diagram showing Step 1: Raw AI Response, Step 2: QATI Checks and Improves, and Step 3: QATI Verified Answer

Our Purpose

LLMs can produce responses that sound confident while containing errors, missing context, unsupported claims, or unclear reasoning.

qati.ai combines leading AI models with QATI technology to identify and correct those weaknesses before delivering the final answer.

What Makes qati.ai Different?

A language model is only one component of qati.ai. qati.ai adds evaluation, correction, improvement, reasoning checks, and trust assessment to create a more complete AI experience.

Corrected and Improved Answers

qati.ai identifies incorrect information, weak claims, missing context, inconsistencies, and unclear reasoning before delivering the final answer.

Confidence and Trust Indicators

Each answer may include confidence, trust level, detected issues, and status information so users can work with greater confidence.

Compare Mode

Eligible plans can display the original LLM response beside the qati.ai answer so users can see what was corrected or improved.