ONES.com
ONES.com is an all-in-one platform pairing project management, a structured team wiki and an AI assistant, positioned as a Jira and Confluence alternative with matching cloud, on-premises and air-gapped deployments plus tooling to migrate existing data.
What is ONES.com?
ONES.com is a software delivery platform that brings project execution and team knowledge into a single system. It is built around three products. ONES Project handles issues, custom workflows, sprints, backlogs, milestones and deliverables, and renders the same work as Gantt charts, Kanban boards, calendars, roadmaps, trees or tables; cross-project Gantt views and baseline management extend it to portfolio-level planning. It supports Agile, Waterfall, Classic and Hybrid methodologies rather than imposing one. ONES Wiki stores strategy, product and operational documentation in spaces, categories and multi-level pages, with templates, spreadsheets, page history and rollback, watermarks, approval flows and native rendering of Mermaid and PlantUML diagrams for technical writing. Test management sits alongside them, with a test case library, test plans and executions, report templates and bug tracking.
The AI layer is ONES Assistant. It answers questions against the wiki with citations, creates and moves issues, generates weekly project reports from issue history and saves them straight into a wiki page group, summarises notifications and surfaces similar issues. Two design choices matter. The assistant only reads data the user is already allowed to see and only performs actions the user is already authorised to take, and everything it produces stays traceable in the system history. A separate ONES MCP server exposes 63 tools to external clients such as VS Code, Cursor and Claude Code; because it runs on the client's own model capacity, it is free on every plan and consumes no ONES AI credits. Organisations can also connect their own internally deployed models.
Deployment is the platform's main differentiator against Atlassian. ONES.com runs as managed SaaS, on the customer's own infrastructure, in a private cloud or in an air-gapped environment, with feature parity claimed across all of them, and the same applies to the AI features. Migration tooling covers Jira users, projects, sprints, issues, permissions, attachments and history, plus Confluence spaces, pages, macros and blogs. Extensibility comes from ONEScript and an open platform offering APIs, events, extensions and a web SDK.
What it does
- Plan, track and deliver software projects across Agile, Waterfall, Classic or Hybrid methods
- Replace Jira and Confluence, migrating issues, sprints, permissions, spaces, pages and macros
- Ask questions of the team wiki and get answers with citations
- Generate weekly project reports from issue history and save them into a wiki page group
- Create, update and route issues through natural-language instructions inside existing permissions
- Drive projects from an IDE through an MCP server exposing 63 tools
- Run the whole platform, AI included, on your own infrastructure or fully air-gapped
When to use ONES.com / When not to
A quick filter to help you decide if ONES.com is the right fit.
When to use ONES.com
- R&D and software engineering teams that need planning, tracking, testing and documentation in one system
- Organisations leaving Atlassian Data Center and looking for a migration path with tooling and support
- Regulated environments that require on-premises, private-cloud or air-gapped hosting and data sovereignty
- QA teams wanting test case libraries, test plans and defect tracking wired into the same issue tracker
- Engineering leaders in automotive, financial services, manufacturing and high-tech, the industries the vendor names explicitly
When not to use ONES.com
- Very small teams after a lightweight task list: paid entry is priced per seat and billed annually
- Buyers who want a visible monthly price, since the default pricing view is annual and monthly billing costs about 30% more
- Non-engineering use cases such as marketing campaigns or CRM, which the product is not built around
- Teams that need a documented mobile app, because the terms mention one but no App Store or Google Play link is published
- Organisations requiring a written commitment that customer data never trains AI models, on which the vendor stays silent
How to use ONES.com
A typical end-to-end flow, from setup to results.
- Sign up on the free plan, which needs no credit card and covers up to 30 seats
- Or start the 14-day trial of the paid edition described in the terms of service
- Choose your deployment: managed cloud, or the on-premises quick-start guide and installation script
- Pick the products you need, ONES Project and ONES Wiki, and set the team size on the pricing page
- If you are leaving Atlassian, run the self-service migration for Jira and Confluence data
- Request the professional migration service for custom configurations, plugins and Confluence macros
- Configure administration: SAML 2.0 single sign-on, multi-factor authentication, field-level permissions and audit logs
- Connect your development tools: GitHub, GitLab, Bitbucket, SVN, Jenkins, Slack and Microsoft Teams
- Turn on ONES Assistant and, if required, connect your own internally deployed model
- Authorise an MCP client such as VS Code, Cursor or Claude Code to drive projects from your IDE
Pros & Cons
Pros
- Feature parity claimed between cloud, on-premises, private cloud and air-gapped deployments
- Named certifications: SOC 2 Type II, ISO 27001, ISO 27018, ISO 20000, ISO 9001 and CMMI Level 5
- Thorough GDPR paperwork: DPA, region-specific terms, a formal sub-processor list, a named DPO and an Article 27 representative
- The MCP server is free on every plan and does not consume AI credits
- The AI assistant is bounded by existing permissions and its output stays in the system history
- Migration tooling for Jira and Confluence is included, with a professional service for complex cases
- A permanent free plan up to 30 seats that already includes AI features and monthly credits
Cons
- Pricing is shown per seat and per year, with no monthly figure in the default view; monthly billing costs about 30% more
- The Enterprise tier still routes to a sales conversation despite an indicative per-seat price
- Nothing is published about whether customer data trains AI models, and no opt-out is documented
- The privacy policy names OpenAI and Oracle while the formal sub-processor list names Microsoft Azure OpenAI and omits Oracle
- The terms mention a mobile application, yet no App Store or Google Play link appears anywhere on the site
- The contact page is a bare form with no address or phone number
- Monthly AI credits are capped per tier, from 20 to 200 per user
Pricing & Plans
A permanent free plan is available at no cost for up to 30 seats, including AI features with 20 monthly credits per user. The cheapest paid entry point is the Standard plan at 80.50 USD per seat per year, billed annually; committing to an annual cycle is stated to be 30% cheaper than monthly billing. Fees are quoted in US dollars, and a refund may be requested by written notice within 30 days of the initial purchase.
- Free — 0 USD
- free forever
- up to 30 seats
- 20 AI credits per user per month
- Standard — 80.50 USD per seat per year
- billed annually
- 50 AI credits per user per month
- Business — 140 USD per seat per year
- billed annually
- 100 AI credits
- 99.9% uptime SLA
- Enterprise — 210 USD per seat per year
- billed annually
- 200 AI credits
- 99.95% uptime SLA
- contact sales
- ONES Desk add-on — 42 USD per seat per year
- billed annually
Data, GDPR & hosting
A consolidated view of how ONES.com handles your data.
GDPR overview
GDPR compliance is claimed in plain words in the Trust Center, not merely implied by the existence of a privacy policy. The vendor publishes a dedicated GDPR area holding five documents: a compliance commitment, a Data Processing Agreement effective 1 January 2026, region-specific terms, a formal sub-processor list and a description of technical and organisational security measures. A Data Protection Officer is named, Kid Feng, reachable at kid.f@ones.com, and an Article 27 EU representative is designated, Prighter Group, contactable through a dedicated portal. Data subject rights are enumerated in full, including access, rectification, erasure, objection, restriction, portability and withdrawal of consent, together with the right to complain to a supervisory authority. The privacy policy has been in force since 7 January 2026.
Who owns the data?
The privacy policy splits the roles explicitly. ONES acts as data controller for information about its customers, users and website visitors, and as data processor for everything customers put into the platform itself, which it processes solely on their behalf under a published Data Processing Agreement. Content created in projects, issues and wiki pages therefore stays with the customer organisation. Where access is granted through an employer, that organisation administers the account and can read, restrict, suspend or terminate it. One clause deserves attention: by registering, a customer grants ONES permission to display its company name and logo as a client reference, a permission that can be withdrawn on request.
Reuse rights
Customers keep the use of their own content and can export it, and the terms grant users only a limited, non-exclusive, revocable licence to the service itself, not to redistribute or resell it. On the vendor side, the stated purposes are service delivery and personalisation, research and development, service and marketing communications, support, security and legal compliance, each mapped to a legal basis under GDPR Article 6. Four sub-processors are named formally: Amazon Web Services for hosting, Microsoft for Azure AI Services including Azure OpenAI, which processes user inputs and outputs for content generation, Google for analytics and PostHog for product analytics. Sensitive data is neither processed nor allowed to be submitted.
Data retention & training
Hosting summary
Cloud customers are hosted on Amazon Web Services across several availability zones, in data centres located in North America, Japan and Southeast Asia. The infrastructure is described as protected by firewalls, DDoS mitigation, comprehensive logging, encryption in transit and at rest, least-privilege access and secure development practices, with a formal business continuity plan behind it. Availability is committed at 99.9%, rising to 99.95% on the Enterprise tier. Customers who cannot accept a shared cloud can deploy on their own servers, in a private cloud or in an air-gapped environment, keeping data entirely under their control, and the AI features can run in that same environment. Jurisdictionally, the contracting entity is Singaporean and the terms are governed by Singapore law; the privacy policy warns that personal data may be accessed from or transferred to other jurisdictions, mostly the United States, China and Singapore, under contractual clauses with overseas recipients.
Things to keep in mind
Risks and trade-offs to weigh before adopting ONES.com.
- The vendor does not say whether your projects, issues and wiki pages are used to train AI models, and documents no way to opt out
- AI prompts and outputs are processed by a third-party provider, so treat the assistant as an external processor when handling confidential work
- The company's own pages disagree on which AI provider is used, which weakens the audit trail for a procurement review
- Registering grants the vendor permission to display your company name and logo as a client reference until you withdraw it
- Where the account is provided by an employer, administrators can read, restrict, suspend or terminate it and access its content
- Generated reports and summaries read as finished work; leaving them unreviewed lets errors in issue data propagate into decisions
- Business data can be deleted 30 days after a subscription ends or lapses, so plan an export before letting a contract expire
Setup & Integrations
Technical difficulty
Low for the cloud edition: signing up takes minutes, needs no credit card and the vendor advertises instant onboarding. Moderate for on-premises, where a quick-start guide and a single shell installation command cover standard servers or mainstream clouds. The heavier work is migration and administration: moving Jira and Confluence data, then configuring SAML 2.0 single sign-on, multi-factor authentication and field-level permissions. Support scales with the plan, from email and community on the free tier to a dedicated account manager and 30-minute critical response on Enterprise.
Deployment
Integrations
Supported languages
Behind ONES.com
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement ONES.com.
Frequently asked questions
Is there a free plan?
How much does the cheapest paid plan cost?
Can ONES.com be self-hosted?
Where is the data hosted?
Is there an API?
Is ONES.com GDPR compliant?
What is the minimum age to use it?
Is customer data used to train AI models?
What is the refund policy?
Which tools does ONES.com compare itself with?
Should you pick ONES.com?
ONES.com is a substantial, well-documented product rather than a landing page with promises. The publisher is a registered Singapore company, the legal pages are dated and versioned, the GDPR area holds a data processing agreement and a formal sub-processor list, the pricing grid carries real numbers across four tiers, and the product documentation lives on its own site with a developer reference. Its clearest strength is deployment freedom: managed cloud, on-premises, private cloud or air-gapped, with the AI layer able to run inside the customer's own environment and to use a customer-supplied model. That combination, together with included migration tooling, is what makes the Atlassian replacement pitch credible for regulated or sovereignty-sensitive organisations, and the announced end of Jira and Confluence Data Center gives it a real window.
The reservations are mostly about disclosure rather than capability. The vendor never states whether customer data is used to train AI models, and documents no opt-out, which is a gap for anyone conducting a serious procurement review. Its own pages disagree on which AI provider is used, the privacy policy naming OpenAI and Oracle while the formal sub-processor list names Microsoft Azure OpenAI. Pricing is legible only in annual, per-seat terms, which suits a structured engineering organisation far better than a small team testing the water. Smaller inconsistencies accumulate too: a mobile application mentioned in the terms but linked nowhere, structured data declaring a Chinese country of establishment against Singaporean legal pages, and two broken logo URLs. None of these undermine the product, but together they suggest a site maintained faster than it is proofread. Evaluate it on the deployment model first, and put the AI training question to the sales team before signing.
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