Onri AI

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What is Onri AI?

This product description emphasizes the ability to connect users with the appropriate individuals, thereby minimizing isolated knowledge and improving teamwork.

Onri AI Product Overview

Onri AI is a cutting-edge people search engine designed to address the challenges of identifying domain experts within organizations. This innovative tool revolutionizes the way users access expertise by providing a swift and efficient solution for connecting with the right people.

Onri AI Highlights

Onri AI is designed to provide comprehensive insights by simultaneously examining multiple documents.
It helps users understand how the answer was generated in the first place.
It allows users to navigate through dense financial information with precision.

Onri AI Features

Instant Expertise: With Onri AI, users can swiftly find experts within their organization by simply asking questions like "Who knows about …?".
Elimination of Knowledge Silos: Onri AI plays a pivotal role in reducing knowledge silos that can hinder team productivity.
Integration with GitHub and Jira: The tool seamlessly integrates with platforms like GitHub and Jira, leveraging data from code commits and tickets to learn about each teammate's expertise.
Enhanced Search Results: When a search is performed, Onri AI presents a list of domain experts along with relevant code commits and tickets associated with their work.
Efficient Collaboration: By eliminating the need for lengthy email threads and unnecessary communication barriers, Onri AI promotes efficient collaboration and ensures that expertise is shared effectively across the organization.
Continuous Learning: Onri AI operates in the background, continuously learning and updating its search results to reflect the evolving expertise within the team.
Low Maintenance: The tool requires minimal maintenance while consistently delivering fresh and accurate search results.

Onri AI Use Cases

Onri AI can be used by organizations to analyze complex financial documents.
It can be used to extract meaningful insights from inquiries across multiple documents.
Users can dive deeper into their response by viewing citations at the paragraph level.