What is Everia?
Everia is an AI-native project management platform built specifically for engineering and product teams. It is built in Sweden, offers an EU region on every plan, and is GDPR compliant by design. It replaces the Atlassian stack (Jira for tickets, Zephyr or Xray for QA, Confluence for docs, Tempo for time tracking) with a single connected workspace where Everia AI has full project context from day one.
- Board
- Test Cases
- Test Runs
- Nexus
- Releases
- Time Log
Everia's three core differentiators from Jira:
AI with full project context
Everia AI reads your complete workspace history: every ticket, sprint, test run and comment, including ones left months ago. It answers analytical questions from real project data, flags risks before they become blockers, drafts sprint updates and finds patterns across sprints. It doesn't need a briefing because it already knows the project.
Native QA in the delivery workflow
Test cases are generated from requirements, linked to tickets and tracked through test runs, in the same workspace as the sprint board. Coverage gaps are flagged before the PR merges. A Release Readiness Score tells the team whether a feature is ready to ship, not just whether the ticket is closed.
EU hosting from a Swedish company
Everia is a Swedish company, and the EU region is available on every plan. Because Everia is not incorporated in the US, it does not carry the CLOUD Act exposure that affects Atlassian, which redomiciled to Delaware in 2022, regardless of where its servers are.
What is Jira?
Jira is the enterprise standard for project and issue tracking in software engineering. It has the deepest ecosystem in the category: thousands of Marketplace apps, deep integration with Bitbucket, Confluence and Atlassian's broader product suite, and it is the reference implementation for agile project management at scale.
Jira is particularly well suited for:
- Large organisations with dedicated Jira administrators who manage the configuration
- Teams deeply embedded in the Atlassian ecosystem: Confluence, Bitbucket, Jira Service Management
- Companies that need cross-project portfolio roadmaps across hundreds of teams
- Organisations where the switching cost from a deeply configured instance outweighs the alternatives
1. AI with full project context vs AI that comes with the platform
This is the capability difference that affects day-to-day work most directly, and the two tools take opposite positions on it.
Jira's approach. Atlassian's AI is Rovo. It is bundled into every paid Jira and Confluence plan, with AI credits allotted per user. Admins can switch individual AI features off, but Rovo itself stays part of the platform, and Atlassian's community forum has threads from users asking how to remove Rovo prompts from work items. Rovo searches, summarises and generates content across Jira and Confluence. It has no test cases or test runs to read, so questions about quality depend on data held in Xray or Zephyr.
Everia's approach. Everia AI appears when you call it. It works through the same permissions as the member using it, asks for confirmation before anything is written or deleted, and its credits belong to the workspace, never to a seat. It reads the complete delivery record, including test runs, and does not train on your data.
- Three tickets were reopened after requirement changes that never reached QA.
- A dependency flagged in a comment six weeks earlier was never escalated.
- Two engineers had overlapping work on the same module.
Rovo can find the reopened issues and summarise the comment thread. The rest of the answer lives in other products:
AI capability, row by row
| AI capability | Everia AI | Jira (Rovo) |
|---|---|---|
| Reads full sprint and ticket history | Yes | Search across issues |
| Reads test runs, coverage and release data | Yes | NoNo native QA data |
| Answers cite their sources | YesCitation chips | Links to matching content |
| Reads comments from months ago | Yes | Via search |
| Flags risks before they become blockers | Proactively | Via configured agents |
| Cross-sprint pattern analysis | Yes | No |
| Drafts sprint updates from live data | YesBefore standup | Summaries on request |
| Generates test cases from requirements | Yes | No |
| Ticket summarisation | Yes | Yes |
| Content generation | Yes | Yes |
| Can be fully removed | Yes | NoFeatures can be switched off, Rovo remains |
| Trains on customer data | No | From 17 Aug 2026Default on for Free and Standard |
| How AI credits are allotted | Per workspace3,000 a month on Team | Per user |
Ask Everia what caused the delay in your last release. It reads the sprint history, ticket changelogs, requirement changes and blocker flags, and answers specifically: three tickets reopened because requirement changes weren't passed to QA, a dependency flagged six weeks earlier was never escalated, two engineers overlapped on the same module. All of that was in the data. Ask Rovo the same question and it can surface matching issues and comments, but it can't connect them to the test results that sit in a separate QA add-on.
2. Native QA vs QA as an add-on
Jira has no native test case management. Teams doing active QA install Xray or Zephyr Scale from the Atlassian Marketplace. Cloud Marketplace apps are licensed for every user on the Jira site, not just the testers, on top of the Jira licence. That causes three consistent problems: additional subscription cost, manual syncing between ticket status in Jira and test status in the add-on, and no automatic connection between requirements and the test cases that verify them.
Everia includes test case management as a core part of the platform. It is not a plugin or a Marketplace app. It sits alongside tickets, sprints and documentation in the same data model.
| QA capability | Everia | Jira |
|---|---|---|
| Native test case management | Yes | NoXray or Zephyr add-on |
| Test runs inside the platform | Yes | Add-on required |
| Test cases generated from requirements | Yes | No |
| Test cases linked to tickets | Automatic | Manual, via add-on |
| Coverage gaps flagged before release | Yes | No |
| Release Readiness Score | YesCalculated from real data | No |
| Feature Stability Score across sprints | Yes | No |
| Import test cases from Excel | Yes | Not applicable |
| Extra cost for QA | Included | YesLicensed for every Jira user |
The Release Readiness Score
The Release Readiness Score gives every release a score out of 100 from ticket completion, test case coverage, test run outcomes and open bug count. A feature at 100% ticket completion with no linked test runs scores well below 100.
The gap between "the ticket is Done" and "the feature is ready to ship" is where most production incidents start. The score surfaces that gap before the deployment happens.
3. EU data sovereignty: Swedish company vs US-domiciled since 2022
Most comparison pages skip this. For European teams in regulated industries it is increasingly the deciding factor.
Atlassian Corporation Plc (UK) became Atlassian Corporation, a Delaware company.
Atlassian sets out how customer data from its cloud products will be used to train Rovo and Rovo Dev.
Roughly 300,000 customers affected. Defaults and opt-outs depend on plan.
The CLOUD Act
As a Delaware corporation, Atlassian is a US person under the CLOUD Act. US federal authorities can compel it to produce data it controls, wherever that data is stored. A Jira workspace with EU data residency is still legally reachable under a CLOUD Act order: the data is physically in Europe but not under EU-exclusive jurisdiction.
Atlassian's data residency also needs deliberate configuration. It is not the default, and teams that never enabled it may assume their data is in the EU when it isn't.
Everia's position. Everia is incorporated in Sweden and is not subject to the CLOUD Act. You choose the EU region (Sweden) or the Global region when you create the workspace, on every plan including Free, at the same price.
What Atlassian's AI training change covers
From 17 August 2026, Atlassian uses two kinds of customer data to train its AI. In-app data is the content itself: issue titles, descriptions and comments, Confluence pages, workflow names. Metadata covers derived signals such as story points, sprint end dates and task classifications. Which one you can switch off depends on your plan.
| Atlassian plan | In-app content | Metadata |
|---|---|---|
| Free, Standard | On by defaultAdmin can opt out | On, no opt-out |
| Premium | Off by default | On, no opt-out |
| Enterprise | Off by default | On by defaultAdmin can opt out |
Atlassian's data residency covers data at rest. Teams with EU residency elected should confirm with Atlassian whether their AI training pipeline stays in the EU, and opt out of in-app collection if their plan allows it.
Data and compliance
| Data and compliance | Everia | Jira (Atlassian) |
|---|---|---|
| EU data hosting | Every planEU region (Sweden), chosen at signup | Paid plansMust be configured |
| Dedicated EU instance or on-premises | Enterprise, on request | Data Center, self-hosted |
| Corporate jurisdiction | Sweden (EU) | USA (Delaware since 2022) |
| US CLOUD Act exposure | None | YesDelaware corporation |
| GDPR compliant | Yes | Yes |
| Data Processing Agreement | Yes | Yes |
| Sub-processors named | YesBy name, per region | Yes |
| AI training on customer data | No | From 17 Aug 2026Opt-outs vary by plan |
| Free workspace expiry | No expiry | Inactive sites can be deactivated |
What each tool costs in 2026
Jira is cheaper per seat, and free for up to 10 users. The bill changes once you add Confluence, a QA app, and seats for everyone who only needs to read.
Everia
EUR · annual billing gives 2 months free- Every module included
- 1 project
- Up to 10 viewers
- 500 Everia AI credits a month
- No card, nothing expires
- Board, sprints, Gantt, retrospectives
- Test cases, test runs, traceability
- Nexus, releases, time log
- GitHub, GitLab, Slack, Telegram, WhatsApp
- SSO, audit trail and export, never gated
- 3,000 AI credits a month per workspace
- Up to 25 viewers, free
- Everything in Team
- Signed DPA and security review
- SCIM and domain claiming
- Audit retention, SIEM streaming
- AI approval policies
- Dedicated EU instance or on-premises
Jira
USD · list price per user, small-team tier- 2 GB storage
- 100 automation runs a month
- No project-level permissions
- Roles and permissions
- Rovo, with per-user credits
- 1,700 automation runs a month
- Data residency
- Cross-project planning
- Unlimited storage
- 24/7 critical support
- Multiple sites
- Metadata training opt-out
- Enterprise security
15 members × €12. 10 viewers free. Docs, QA and AI included.
25 licensed users (15 + 10 readers) × $13.33. QA and time tracking apps extra.
Full feature comparison
| Capability | Everia | Jira |
|---|---|---|
| Setup and administration | ||
| Time to first sprint | Hours | Days to weeks |
| Admin required | NoTeam manages its own setup | OftenCertified admin or consultant |
| Workflow configuration | Per project, by the team | Schemes, complex and centralised |
| Onboarding | Guided setup with a sample project | Self-directed, steep learning curve |
| Import from Jira | YesBacklog import | Not applicable |
| Read-only access | Free viewers10 on Free, 25 on Team | Every user is a paid seat |
| Documentation | ||
| Built-in documentation | Nexus, included | Confluence, separate product |
| Separate billing | No | Yes |
| Requirements link to tickets | Automatic | Manual |
| Requirements generate test cases | Automatic | No |
| AI search with cited answers | Yes | Rovo search |
| Stale content flagging | Yes | No |
| Integrations | ||
| Slack | Native | Native |
| GitHub / GitLab | YesCommits and PRs recorded on the ticket | Yes |
| Telegram | Native, two-way | No |
| Native, two-way | No | |
| Bitbucket | No | Deep integration |
| Marketplace ecosystem | Core engineering set | Thousands of apps |
| Time tracking | ||
| Built-in time tracking | Yes | Basic work log |
| Time vs estimate reports | Yes | Add-onTempo or similar |
| Billable / non-billable split | Yes | Add-on |
| Export for billing | YesPDF export from Time Log | Add-on |
Feature checklist
What Everia includes out of the box, and what Jira needs an add-on or a separate product for.
Everia, included
- Planning
- Sprint planning and Kanban boardIncluded
- Backlog and Gantt viewIncluded
- Retrospectives with action-to-ticket conversionIncluded
- Everia AI
- Full project history and contextIncluded
- Sprint updates from live dataIncluded
- Proactive risk flagging, cross-sprint patternsIncluded
- Quality
- Test cases and test runsIncluded
- Release Readiness and Feature Stability ScoresIncluded
- Knowledge, time, integrations
- Nexus documentation, linked to ticketsIncluded
- Time tracking with billing exportIncluded
- Slack, Telegram, WhatsApp, GitHub, GitLabIncluded
- Access and data
- EU region on every planIncluded
- Free viewersIncluded
- Free plan with no expiryIncluded
Jira, needs extra
- Quality
- Test case managementXray or Zephyr
- Test runsAdd-on
- Release Readiness ScoreNot available
- Knowledge and time
- DocumentationConfluence
- Time tracking reportsTempo or similar
- RetrospectivesConfluence templates
- Integrations and access
- Telegram / WhatsAppNot available
- Free read-only accessEvery user is paid
- Opt-out of AI training metadataEnterprise only
Moving from Jira to Everia
Everia supports direct import from Jira. Most teams run their first sprint on Everia within an afternoon.
- Open and closed issues
- Sprint and backlog data
- Assignee information
- Standard field data
- Epic and story hierarchy
- Complex Jira workflow schemes
- Marketplace app configurations
- Historical time logs from Tempo
- Export your Jira project as CSV, or use Everia's Jira importer.
- Create a free Everia workspace at everia.io. No card required. Choose the EU or Global region here.
- Import your backlog. The guided process takes minutes.
- Invite your team. Viewers join for free.
- Run one sprint in parallel with Jira before fully committing.
The Free plan covers up to 3 members, 1 project, 10 viewers and 500 Everia AI credits a month, with no card and no expiry. That's enough to run a real sprint and compare on actual output rather than a demo.
Who should choose which
eChoose Everia if
- Your team is 10–100 people and you don't want to hire a Jira admin to run your project tool
- You run Jira alongside Xray or Zephyr for QA and want to consolidate
- You pay for Jira and Confluence separately and want both in one place
- You are a European team with GDPR requirements, or enterprise clients asking about data residency
- You want AI that knows your actual project: full sprint history, old comments, cross-sprint patterns
- You want stakeholders to have real visibility without paying for more seats
- You don't want your project data used to train an AI model
Choose Jira if
- You run several hundred engineers across business units, with an admin who has tuned your instance over years
- Your Bitbucket, Confluence and Jira Service Management setup is deeply integrated and the switching cost is prohibitive
- You need cross-project portfolio roadmaps across dozens of teams today
- Marketplace apps are a core part of how your team works
- You are a team of 10 or fewer and Jira's free plan covers what you need
Frequently asked questions
Does Everia replace Confluence as well as Jira?
Yes. Nexus is built into the same workspace as your tickets and test cases. Requirements written in Nexus generate linked tickets and test cases, and when a requirement changes, affected test cases are flagged. For teams paying for both Jira and Confluence, that is one workspace and one subscription.
Does Everia replace Xray or Zephyr Scale?
For most engineering teams, yes. Everia includes native test case management with folders, priority levels, Excel import, and test runs with pass/fail tracking. Test cases link automatically to requirements and tickets, and the Release Readiness Score flags whether a feature is actually ready to ship.
Teams running highly specialised QA workflows with advanced test plan structures may find dedicated QA tools more configurable. Most product engineering teams find Everia's QA layer sufficient, with QA and project management in the same workspace.
What changed with Atlassian's AI training in August 2026?
From 17 August 2026, Atlassian uses customer data from Jira, Confluence, Jira Service Management and other cloud products to train Rovo and Rovo Dev. About 300,000 customers are affected. In-app content collection is on by default for Free and Standard, and off by default for Premium and Enterprise. Metadata collection can only be switched off on Enterprise.
Data residency covers data at rest, so EU-resident teams should confirm with Atlassian how training data is handled. Everia does not train on customer data.
Is EU hosting available on Everia's free plan?
Yes. You choose the EU region (Sweden) or the Global region when you create the workspace, on every plan including Free, at the same price. Enterprise adds a dedicated EU instance or on-premises hosting on request. Because Everia is a Swedish company, the CLOUD Act issue that affects Atlassian regardless of server location does not apply.
How does viewer access compare?
Viewers in Everia (stakeholders, clients and executives who read and comment but don't edit work) are free: 10 on Free, 25 on Team. In Jira, every person with product access is a licensed user on paid plans, which leads teams to ration access and share screenshots instead of giving stakeholders real visibility.
Can I run Everia alongside Jira during the transition?
Yes. The Free plan is designed for this: run one real project on Everia while Jira stays active, compare actual sprint output, then decide. No time limit, no credit card.
What does the Release Readiness Score measure?
It scores each release out of 100 from four inputs: ticket completion percentage, test case coverage per ticket, test run outcomes (pass/fail ratio), and open bugs linked to the release.
A feature at 100% ticket completion with no linked test runs scores well below 100, as intended. The score surfaces the gap between "the ticket is closed" and "the feature is ready to ship".
Is Everia suitable for non-engineering teams?
Yes. Marketing, operations, HR and agency teams use Everia for project and campaign management. The QA features are engineering-specific and don't get in the way. Free viewers mean clients and stakeholders can join without seat costs.
What is Everia's free plan?
Up to 3 members, 1 project, 10 free viewers and 500 Everia AI credits a month, with every module included. There is no time limit and no credit card. Unlike Jira's free tier, Everia does not deactivate or delete inactive free workspaces.
Does Everia have a Marketplace like Jira?
No. Everia's integrations cover the core engineering workflow: Slack, GitHub, GitLab, Telegram and WhatsApp. If your team relies on Jira Marketplace apps for specific workflows, that is a real advantage Jira keeps over Everia.
Jira and Everia serve different needs
Jira is the right choice for large engineering organisations with dedicated administrators, deep Atlassian dependencies, and portfolio management at scale. Its Marketplace, Bitbucket integration and enterprise configurability are real strengths Everia does not match. Everia is the right choice for engineering teams where three things matter most:
Full sprint history, old comments and cross-sprint patterns, available when you call it and never trained on your data.
Native test cases and test runs connected to the requirements and tickets they came from, not a per-user Marketplace line item.
A Swedish company without CLOUD Act exposure, an EU region on every plan, and a free plan that doesn't expire.
Page last updated: September 2026. Everia prices from everia.io/pricing. Jira and Confluence prices are Atlassian's displayed list prices per user per month for small teams as of September 2026; rates vary by user tier and billing cycle. AI training details per Atlassian's 2026 data contribution policy. Verify current details at everia.io and atlassian.com before making a purchasing decision.