What is Atlassian Rovo?
Driven by the capabilities of generative AI, Rovo significantly improves team decision-making and speeds up the achievement of goals. It empowers teams to quickly retrieve information from their preferred SaaS applications, allowing for continuous learning and adaptation of knowledge throughout their tasks while virtual agents provide prompt responses. As organizational data becomes more extensive and widely spread, Rovo guarantees you access to the most relevant information from your selected SaaS tools, all seamlessly integrated into your daily operations. Gaining a thorough understanding of organizational issues often involves numerous inquiries; however, by utilizing Rovo chat, you can easily connect with the right teams to uncover essential insights until you feel fully informed. High-performing teams can also gain valuable assistance, as Rovo Agents are specifically designed to tackle complex tasks and perform necessary actions to help you meet your goals. Users have the option to utilize pre-built specialized agents available in the Atlassian marketplace or to create custom solutions tailored to their unique needs. Furthermore, Rovo aids in the generation, review, and refinement of various types of content, such as product specifications and goal-setting documents, which keeps your team aligned and focused on achieving success. This comprehensive strategy not only simplifies processes but also encourages enhanced collaboration throughout the organization, leading to greater overall productivity. Ultimately, Rovo transforms the way teams interact with information, paving the way for smarter decision-making and improved outcomes.
Integrations
Similar Software to Atlassian Rovo
Planview Software Product Delivery Solution is an advanced enterprise delivery intelligence platform designed to bridge the gap between strategy and execution across modern development environments. It integrates with widely used tools such as Azure DevOps, GitHub, and Jira to aggregate real-time data from multiple teams and workflows into a unified view. This centralized visibility enables technology leaders to monitor delivery performance, track progress, and make data-driven decisions. The platform offers robust capabilities including cross-team dependency management, capacity planning, and agile planning at both team and portfolio levels. It provides detailed flow analysis to identify bottlenecks and improve overall delivery efficiency. Built-in analytics, including DORA metrics, help organizations measure engineering performance and outcomes effectively.
AI-powered roadmapping supports strategic planning by aligning development efforts with business priorities. Connected OKRs ensure that teams remain focused on achieving organizational goals. Portfolio-level investment planning and scenario modeling allow leaders to evaluate different approaches and optimize resource allocation. The platform also surfaces early risk signals through configurable thresholds and flow metrics, enabling proactive issue resolution. Real-time dashboards replace manual reporting, providing executives with clear, evidence-based insights. By streamlining workflows and improving transparency, it enhances collaboration across teams.
The solution is designed to scale with enterprise needs, supporting complex delivery environments. Ultimately, Planview empowers organizations to deliver digital products faster, more efficiently, and with greater confidence.
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Haystack bridges the gap between every employee in your organization and the essential people, resources, and information necessary for their growth and success. By offering a fun, intuitive, and informative way to kick off the day, Haystack transforms the employee experience. Its customizable branding and modular design allow organizations to easily showcase key resources, foster a strong cultural identity, and share valuable knowledge. With automated multi-channel delivery and insightful analytics, reaching employees at optimal moments becomes effortless. This approach enables staff to spend less time searching for information and more time focusing on their objectives. Haystack simplifies knowledge sharing, ensuring that employees can access vital materials from anywhere in the world. As teams expand and evolve, maintaining connections can become challenging, but Haystack’s comprehensive employee profiles and company directory create a sense of proximity among colleagues, making them feel as if they are just a room away. Ultimately, this platform not only enhances productivity but also cultivates a cohesive company culture.
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Tempo Timesheets
Tempo Timesheets is the #1 time-tracking app in the Atlassian Marketplace, trusted by over 30,000 organizations including one-third of the Fortune 500. It replaces manual spreadsheets with automated time logging natively inside Jira. AI-powered suggestions draft timesheets from IDE activity and calendar events (Google Workspace, Office 365). Teams can differentiate billable and non-billable hours, track CapEx/OpEx for accounting compliance, and generate audit-ready records. Custom work attributes capture granular details such as overtime, travel time, and project phases. Managers review and approve timesheets, build dynamic reports, and measure planned vs. actual effort to support capacity planning and financial forecasting.
From software and professional services teams billing client hours to finance leaders preparing for audits, Tempo Timesheets gives every role a single, trusted source of time data. Teams adopting AI can use Tempo's Rovo agents, built on Atlassian's GenAI platform: the Timesheets Worklog Assistant logs time in natural language from any Jira page, the Timesheets Summary Analyzer reports on what a team worked on, Time Insights for Jira surfaces how time is spent, and the Sprint Performance Assistant adds delivery insight – without building a report by hand.
Timesheets is also one piece of Tempo's modular, Jira-native suite for Strategic Portfolio Management. Pair it with Capacity Planner for resourcing, Financial Manager for project cost and margin, Structure PPM for portfolio reporting, and Custom Charts for dashboards. Start with time tracking alone, then expand across planning, cost, and portfolio management as needs grow – every app native to Jira, with no separate platform to maintain. Tempo Timesheets is Cloud Fortified on the Atlassian Marketplace and runs on Jira Cloud, Data Center, and Server.
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Muse Spark 1.2
Muse Spark 1.2 is a coding-focused AI model from Meta designed to support advanced software engineering tasks through Muse Code and the Meta Model API. The model builds on Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan repository changes, write code, validate outputs, and work across large codebases. Muse Code uses persistent async background agents that stay active throughout a session to reduce redundant information gathering and support difficult multi-step work. The runtime uses a local event log where model calls, tool runs, approvals, and edits are appended, making sessions replay-exact and restart-safe. Muse Spark 1.2 was co-trained with Muse Code so the model can take advantage of its toolset, harness workflows, goals, compaction, and subagent architecture. Meta significantly scaled training compute on coding tasks and expanded training environment diversity to improve the model’s engineering capabilities. The model was also trained on long-horizon coding tasks, including whole-repository generation, large end-to-end projects, auto-research, and extended iterative work. Its training approach uses planning, goal conditioning, context compaction, rejection-sampled harness trajectories, and self-improvement data generated with Muse Spark 1.1. Meta also tested Muse Spark 1.2 on long-running GPU kernel optimization workflows where the model wrote, compiled, profiled, and improved Triton kernels over many tool calls. By combining coding-focused training, agentic runtime integration, persistent subagents, long-horizon reasoning, replay-safe execution, and API availability, Muse Spark 1.2 helps developers and AI agents complete complex software engineering work with less intervention.
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Screenshots and Video
Company Facts
Company Name:
Atlassian
Date Founded:
2002
Company Location:
Australia
Company Website:
www.atlassian.com/software/rovo
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Video Library
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English