Onri

Onri AI is a people search engine designed to help users quickly find experts within their organization. By simply asking “Who knows about …?”, Onri AI provides immediate assistance without the need for aimless inquiries. Unlike traditional methods such as long email threads, Onri AI eliminates the time wasted in searching for domain experts and connects the user directly to the right person. The tool leverages organizational knowledge by integrating with GitHub and Jira accounts, learning from thousands of code commits and tickets related to each teammate’s work. When a search is performed, Onri AI generates a list of domain experts, enhanced with relevant code commits and tickets, allowing the user to confidently approach the most suitable individuals. Onri AI offers several key benefits. Firstly, it significantly reduces the negative impact of knowledge silos within growing teams, helping to avoid productivity slowdowns. Secondly, the tool eliminates the need for time-consuming email threads in search of assistance, resulting in more efficient collaboration. Furthermore, Onri AI operates seamlessly in the background, continuously learning and updating its search results based on the ever-evolving expertise within the team. Finally, the tool requires minimal maintenance and provides a fresh and accurate search experience.Supported platforms include GitHub and Jira, enabling users to integrate their accounts with Onri AI. Overall, Onri AI enhances team productivity by quickly connecting users with the right experts and harnessing the collective knowledge of an organization.

7.2Expert Score

Awesome

Onri AI is a people search engine designed to help users quickly find experts within their organization. By simply asking "Who knows about ...?", Onri AI provides immediate assistance without the need for aimless inquiries.

Design

6.4

Easy to use

5.7

Price

6.8

Features

5.9

Accuracy

6.3

PROS

• Expert search within organization
• Quick identification of expertise
• Integrates with GitHub, Jira
• Learns from code commits
• Learns from Jira tickets
• Minimizes knowledge silos
• Efficient collaboration
• Operates seamlessly in background
• Requires minimal maintenance
• Results from evolving expertise
• Enhances team productivity
• Cuts through siloed knowledge
• Saves time on searches
• Immediate expert identification
• Reduces email thread dependence
• Maintains fresh search results
• Set-up time less than 3 minutes
• Leverages past work knowledge
• Design enriched with relevant data
• Always up-to-date search results
• Continuous learning mechanism
• Enriched expert profiles
• Facilitates problem solving
• Prioritizes team efficiency
• Streamlined user interface
• Results relevant to user needs
• Zero user interference while learning
• Monitors changes in team expertise
• Fosters efficient knowledge sharing

CONS

• Integrates only with GitHub, Jira
• No API mentioned
• Dependent on user input
• Requires continuous data updating
• Possible privacy concerns
• No offline functionality mentioned
• May lack in-depth expertise evaluation
• No multi-language support mentioned
• Lacks personalization features
• Dependency on istent team workflow