Manot

Manot gives AI teams the ability to build more accurate and reliable Large Language Models (LLMs) that meet end-user expectations by using user feedback to explain and resolve problems. The platform automates 80% of the feedback loop, which means you can build more robust and accurate products.

Manot aggregates end-user feedback from multiple sources, prioritizes issues, explains the root cause and recommends actions to resolve issues quickly. The result is higher end-user satisfaction, faster product time-to-market and higher AI team productivity.

Some of the key benefits include:

• Automated Feedback Loop: Connects with product teams to continuously improve models.
• Advanced Scoring Mechanism: Identifies potential model accuracy issues and speeds up troubleshooting.
• Model Agnostic Approach: Works across multiple projects and provides clear, visual insights to inform decisions.

Manot can benefit different teams within an organization:

• Engineering: Speeds up troubleshooting and model refinement.
• Product Management: Provides actionable insights to guide development and understand model performance.
• Sales and Business Development: Shows cost savings and efficiency in model development, and concrete examples of model improvement and accuracy.
• C-Level and Business Owners: Gives them accurate insights to improve model performance, reduce customer churn and accelerate time to market.

With Manot, teams can build more reliable and accurate LLMs that meet end-user needs while improving efficiency and reducing development costs. To learn more and schedule a demo, visit the Manot website.

Published on June 14, 2024