Onri AI

Onri AI is an advanced people search engine designed to help identify domain experts within organizations.
It enables users to quickly find experts by asking specific questions, streamlining the search for internal expertise.

Key Features:

• Instant Expertise: Users can easily locate experts within their organization.
• Elimination of Knowledge Silos: Facilitates the sharing of expertise across teams.
• Integration with GitHub and Jira: Uses data from these platforms to identify experts.
• Enhanced Search Results: Lists experts with relevant work history.
• Efficient Collaboration: Reduces the need for long communication threads.
• Continuous Learning: Constantly updates search results to reflect team expertise.
• Low Maintenance: Requires minimal upkeep while providing accurate results.

Advantages:

• Rapid Access to Expertise: Saves time in finding the right experts.
• Knowledge Sharing: Promotes a collaborative culture within the organization.
• Efficient Collaboration: Streamlines communication and collaboration processes.
• Data-Driven Insights: Provides valuable insights based on GitHub and Jira data.

Limitations:

• Limited to Internal Expertise: Mainly useful for finding experts within the same organization.
• Dependence on Integration Platforms: Relies on data from GitHub and Jira for insights.

User Base:

• Targeted at organizations and teams that need to quickly identify and collaborate with internal domain experts.

What sets it apart?:

• Onri AI uniquely combines data from popular development platforms like GitHub and Jira to pinpoint experts, making it exceptionally useful for tech-based organizations and teams looking for specific skill sets.

Use Cases:

• Ideal for project managers seeking expertise for specific projects.
• Useful for HR departments in identifying skill gaps and training needs.
• Beneficial for new employees seeking mentors or guidance in specific areas.