Atlassian launched Rovo as an AI-powered assistant for Jira and Confluence in 2024, and it's genuinely useful — it can search across your Atlassian data, answer questions about projects, and help teams find information faster. But Rovo has a fundamental limitation that makes it a non-starter for many organizations: it processes your data in Atlassian's cloud. For teams in government, healthcare, finance, defense, or any industry with strict data residency requirements, that's a dealbreaker. Your Jira tickets and Confluence pages contain sensitive project details, customer information, and proprietary business logic that cannot leave your network.
What is a self-hosted Rovo alternative?
A self-hosted Rovo alternative is an AI assistant that provides the same capabilities as Rovo — natural language search across Jira, Confluence, and Bitbucket, AI-powered answers to questions about your projects, and intelligent automation of repetitive tasks — but runs entirely on your own infrastructure. Instead of sending your Atlassian data to a cloud-hosted AI service, a self-hosted solution deploys as a container on your servers, processes everything locally, and ensures your data never crosses your network boundary. This is the core difference: with Rovo, Atlassian controls the AI and sees your data; with a self-hosted alternative, you control both.
Why does Foxbridge exist?
Foxbridge was built specifically to solve the data sovereignty problem that Rovo creates. It's a self-hosted Docker application that connects Jira, Confluence, and Bitbucket to the AI provider of your choice — Anthropic Claude, OpenAI, Azure OpenAI, or Ollama for fully air-gapped environments where no external network connection is allowed. Foxbridge provides 40+ AI-powered tools through a web chat interface and an MCP transport endpoint for IDE integration with Claude Code, VS Code, and Cursor. It is purpose-built for Atlassian Data Center (all versions, no application tunnels required), supports API token and PAT authentication, and includes PII scrubbing for regulated industries. Teams typically have it running in under five minutes with Docker Compose.
How does Foxbridge compare to Rovo?
The most important difference is where your data goes. Rovo processes your Atlassian data on Atlassian's servers — even for Data Center customers, Rovo's DC support (added in late 2025, requiring Jira DC 11.3+ and application tunnels) sends your data to the cloud for AI processing. Foxbridge runs on your network and your data stays there. Beyond data sovereignty, Foxbridge lets you choose your AI provider instead of being locked into Atlassian's built-in AI, includes Bitbucket integration and PII scrubbing that Rovo doesn't offer, and costs significantly less — Foxbridge starts at $300/month for 25 users compared to Rovo's $20/user/month ($500/month for the same team size).
What are the evaluation criteria for choosing a Rovo alternative?
Not all Rovo alternatives are equal. Before committing to a platform, evaluate candidates against these six criteria — they cover the gaps that matter most when moving away from Atlassian's built-in AI.
Data residency compliance. The entire point of seeking an alternative is keeping data under your control. Verify that the solution deploys on your infrastructure — your VPC, your on-prem servers, or your air-gapped network — and that no telemetry, query logs, or document content leaves your environment. Foxbridge runs as a single Docker container on your network and never phones home. All AI processing happens between your Foxbridge instance and the AI provider you configure, with no intermediate Atlassian or third-party servers in the path.
AI provider flexibility. Being locked into a single AI vendor creates risk — pricing changes, model deprecations, and capability gaps can leave you stuck. Look for a solution that supports multiple providers and allows you to swap models without reconfiguring your deployment. Foxbridge supports Anthropic Claude, OpenAI, Azure OpenAI, and Ollama out of the box. Teams running Ollama can operate fully air-gapped with no external API calls whatsoever, while teams on Azure OpenAI can use their existing enterprise agreements and regional deployments.
Atlassian platform support. Many organizations run Atlassian Data Center and need an AI solution that works with their existing deployment — not one that requires upgrading to a specific version or setting up cloud tunnels. Foxbridge is purpose-built for Data Center and works with all versions. You configure your Atlassian base URL, authentication method (PAT or basic auth), and you're running — no version-specific builds or compatibility matrices to worry about.
Total cost at scale. Per-user pricing that looks reasonable at 25 seats can become punishing at 200 or 500. Calculate the three-year total cost of ownership including licensing, infrastructure, and AI provider API fees. Foxbridge uses a tiered model where the per-user cost drops as your team grows — from $12/user/month at 25 users down to $3/user/month at 500 users. AI provider costs (paid directly to your provider) are separate and transparent, so you can optimize them independently by choosing smaller models for routine queries.
Integration breadth. Rovo covers Jira and Confluence. If your workflows span Bitbucket repositories, Jira Assets (formerly Insight), or other Atlassian products, you need an alternative that reaches further. Foxbridge includes Bitbucket integration for searching code, pull requests, and repositories alongside Jira and Confluence data. It also supports Jira Assets queries, meaning your AI assistant can answer questions that span project management, documentation, source code, and asset inventories in a single conversation.
Deployment complexity. An alternative that requires Kubernetes clusters, custom networking, or weeks of professional services isn't practical for most teams. Evaluate how long it takes to go from zero to a working deployment with real users. Foxbridge deploys with a single docker compose up command using a two-file configuration (Docker Compose file plus environment variables). Most teams are running in under five minutes. There's no database to provision, no message queue to configure, and no external dependencies beyond your Atlassian instance and AI provider API key.
How much can you save by switching from Rovo?
Rovo's pricing is straightforward: $20 per user per month, billed annually. Foxbridge uses a tiered model where the per-user cost decreases at higher seat counts. The savings become significant as your team grows.
At 25 users, Rovo costs $6,000 per year ($20 x 25 x 12). Foxbridge Business costs $3,600 per year ($12 x 25 x 12). That's a 40% saving — meaningful, but not transformative. At this scale the primary reason to choose Foxbridge is data sovereignty, not cost.
At 100 users, the gap widens. Rovo costs $24,000 per year. Foxbridge Business costs $9,600 per year ($8 x 100 x 12). That's a 60% saving — $14,400 per year back in your budget. For a mid-size engineering organization, that's the equivalent of several months of additional tooling spend.
At 500 users, the economics become dramatic. Rovo costs $120,000 per year. Foxbridge Enterprise costs $18,000 per year ($3 x 500 x 12). That's an 85% saving — over $100,000 per year. At this scale, Foxbridge pays for its own infrastructure costs many times over, even accounting for the servers running the Docker container.
One important note: AI provider costs are separate from Foxbridge licensing and are paid directly to your chosen provider (Anthropic, OpenAI, Azure, or free with Ollama). These costs depend on usage volume and model selection. Teams running Ollama on their own hardware have zero ongoing AI costs. Teams using cloud providers typically see API costs of $2-5 per active user per month depending on query volume, which still keeps the total cost well below Rovo at every tier.
Who should use Foxbridge instead of Rovo?
Foxbridge is the right choice for organizations where data cannot leave the network — government agencies, healthcare providers, financial institutions, defense contractors, and any company operating under data residency regulations like GDPR, HIPAA, or FedRAMP. It's also the right choice for Atlassian Data Center customers who want AI capabilities without migrating to Cloud or setting up complex application tunnels. And it's the right choice for cost-conscious teams: a 100-person organization pays $24,000/year for Rovo versus $9,600/year for Foxbridge Business — a 60% saving with equivalent functionality plus additional features like Bitbucket integration and AI provider choice.
How do you migrate from Rovo to Foxbridge?
There is no data migration required when switching from Rovo to Foxbridge. Both products read from the same source — your Atlassian instance. Foxbridge doesn't copy or index your Atlassian data into a separate datastore. It connects directly to Jira, Confluence, and Bitbucket APIs at query time, which means there's no ETL pipeline to build, no data sync to maintain, and no risk of stale or duplicated information. Your Atlassian instance remains the single source of truth.
The switch follows four steps. First, sign up for a Foxbridge 14-day free trial at foxbridge.dev/pricing — no credit card required. You'll receive a license key and access to the Docker image. Second, deploy the Foxbridge Docker container on any machine that can reach your Atlassian instance. This takes a single docker compose up command with a configuration file specifying your Atlassian URL, authentication method, and AI provider API key. The container runs alongside your existing infrastructure with no changes to your Atlassian setup — no plugins to install, no admin permissions to grant, no webhooks to configure.
Third, run Foxbridge and Rovo in parallel during your evaluation period. Because Foxbridge connects read-only to your Atlassian instance, it doesn't interfere with Rovo or any other tool. Your team can use both simultaneously, comparing results and validating that Foxbridge covers their workflows. This parallel operation is risk-free — Foxbridge makes standard API calls that are indistinguishable from a user browsing Jira or Confluence in a browser.
Fourth, deactivate Rovo when you're satisfied. Disable the Rovo app in your Atlassian admin settings to stop the per-user billing. There's no export to perform, no cleanup scripts to run, and no data left behind in a third-party system. The entire migration from first Docker pull to Rovo deactivation typically takes less than two weeks, with the majority of that time spent in the parallel evaluation phase rather than technical setup.
How do you get started?
Getting started with Foxbridge takes about five minutes. Sign up for a 14-day free trial (no credit card required), create a configuration file with your Atlassian URL and AI provider API key, and run docker compose up. The setup guide walks through every step for Atlassian Data Center deployments. Once running, open http://localhost:3000 in your browser, log in with your Atlassian credentials, and start asking questions about your projects.
See the full Foxbridge vs Rovo comparison →
Related reading
- How to Add AI to Jira Data Center in 5 Minutes — step-by-step setup guide for Data Center deployments
- Why Self-Hosted AI for Atlassian Matters in 2026 — the broader case for keeping AI on your network
- Foxbridge Features — full list of 40+ AI-powered tools for Jira, Confluence, and Bitbucket