Atlassian Jira / Bitbucket

An AI platform that provides search, chat, and agentic capabilities across Atlassian and third-party SaaS applications, enabling teams to access organizational knowledge and automate workflows.

Agentic AI capabilities within Rovo that automate workflows and tasks, such as routing backlogs to agents or generating reports, enabling teams to reduce repetitive work.

A browser extension that provides access to Rovo functionality across web applications and enables users to interact with Rovo while working in their browser.

Integration connectors that enable Rovo to connect with and index data from third-party SaaS applications including Gmail, Google Drive, GitHub, Figma, Zendesk, Azure DevOps, and others.

Support for Model Context Protocol (MCP) connections enabling Rovo to integrate with external AI models and systems.

A search capability within Rovo that enables employees to seamlessly access and discover global knowledge across Atlassian and non-Atlassian tools.

A capability within Rovo that enables customization and configuration of AI-powered workflows and automations for teams.

AI agents built into Jira for planning, execution, and work delivery. Agents operate alongside teams to automate reporting, knowledge retrieval, and repetitive task elimination.

Curated apps and AI agents on a secure, compliant platform designed for teamwork, strategy, service, software, and product workflows.

Bundled collection of Rovo, Jira, Confluence, and Loom that brings AI-powered insights to projects, knowledge management, and video communication in one integrated platform.

An integrated platform combining Jira, Confluence, Loom, and Rovo designed for AI orchestration, planning, knowledge management, and work delivery at scale.

Enhanced Jira planning and execution platform where teams and AI agents collaborate to plan, execute, and deliver outcomes together.

AI-powered chat interface within Rovo that allows users to query and retrieve information from across connected apps and organizational knowledge bases.

Command-line interface for Rovo enabling developers and power users to access Rovo capabilities from the terminal and integrate into automation scripts.

Model Context Protocol (MCP) integration enabling Rovo to integrate with Claude and other AI systems via standardized protocols.

Mobile application version of Rovo enabling access to AI-powered search, chat, and automation on iOS and Android devices.

Data intelligence layer that connects teams, work, and apps on a single platform, providing Rovo with contextual business knowledge to deliver accurate insights.