Compare to
Atlassian
Instead of giving teams more building blocks, In Parallel keeps a shared record of what was decided across all of them.
Where Atlassian tells your teams where to put the work, In Parallel tells you what was decided, who owns it and what is still open.
In short
Atlassian’s Jira, Confluence and Loom suit organisations, especially development teams, that have standardised on Atlassian workflows. Writing meeting outcomes into tickets and pages stays manual there, so organisations using tools from several vendors should choose In Parallel, which captures decisions, owners and risks from meetings and serves them to every AI tool over MCP.
Updated
In Parallel isn't another meeting or project tool — it's the AI context layer: it gives the AI you already use your team's decisions, with the source behind every answer. Choosing an AI context layer →
What are the key differences?
From building blocks to an intelligence layer.
From ecosystem lock-in to tool-agnostic coordination
Atlassian works best when your entire organization lives within their ecosystem -- Jira, Confluence, Loom, Trello, Bitbucket. But most organizations use tools from multiple vendors. Engineering might use Jira while marketing uses Asana and leadership uses Google Slides. In Parallel works across all of them, keeping one record of meeting decisions whatever tools your teams use, readable from any AI tool over MCP.
From manual ticket creation to pages that update after each meeting
With Atlassian, someone attends a meeting, takes notes, then manually creates or updates Jira tickets, Confluence pages, and dashboards. In Parallel takes over the capture. It joins meetings, records decisions and action items with their owners, and appends what changed to the workspace pages the meeting touched, with every edit kept in version history.
From fragmented view to one shared record
Atlassian's tools each serve a purpose, but they create fragmented views of progress. Your Jira board shows one thing, Confluence shows another, and your Loom recordings capture context that never makes it into either. In Parallel keeps one shared record of decisions, owners, risks and open questions, each linked to the meeting it came from, so there is one place to check what was agreed.
From team-level tools to organisational coordination
Atlassian tools are primarily designed for teams -- especially development teams. In Parallel is designed for organizational coordination. It connects what happens in team-level meetings to the broader execution picture, so leadership sees reality across all teams without requiring a separate reporting workflow.
When to choose Atlassian
- Your entire organization standardizes on Atlassian tools
- You need a project management system for development teams
- Your teams have established workflows within Jira and Confluence
- Async video communication (Loom) is more important than meeting intelligence
When to choose In Parallel
- Your organization uses tools from multiple vendors
- Meeting decisions need to be captured without someone writing them up
- You need one record of decisions and owners across teams and tools
- Managers and executives need real-time visibility into execution -- not another dashboard to check
Frequently asked questions
Does In Parallel replace Jira or Confluence?
No. In Parallel works alongside Jira, Confluence, and other tools in your stack. It captures what was decided in meetings, who owns it and what is still open, and keeps that as a shared record your team and its AI tools can query. You keep your existing tools; In Parallel keeps the context around them.
Can In Parallel work with Atlassian tools specifically?
Yes. In Parallel is tool-agnostic by design: it captures decisions from the meetings where Jira, Confluence and Loom work gets discussed, and the Business plan includes up to five app integrations. It works across your entire stack, not just within one vendor's ecosystem.
How is In Parallel different from using Loom + Jira + Confluence together?
The Atlassian ecosystem gives you building blocks: Loom for async video, Jira for tickets, Confluence for docs. But someone still has to manually connect them -- updating Jira after a Loom, writing Confluence pages from meeting outcomes, keeping dashboards current. In Parallel takes over the capture: meetings become a structured record of decisions, owners and risks, the workspace pages they touch are updated afterwards, and everyone reads the same account.
Is In Parallel only for organizations that don't use Atlassian?
Not at all. Many organizations use Jira heavily and benefit from adding In Parallel as a coordination layer on top. In Parallel is especially valuable when you use multiple tools across teams -- for example, Jira for engineering, Asana for marketing, and Slack for communications. It gives them one shared record of what was decided.
Price the knowledge, not the people.
41% of the work week goes to coordination. In Parallel gives it back.
Plans
Professional
€29
per user / month
120 Knowledge Units per user a day. For teams under 50 users: meeting notes, chat, pages and workspaces.
Business
€69
per user / month
250 Knowledge Units per user a day. Adds sharing: give people access to a workspace, with set access rights for what they can see. Up to 5 app integrations. Automations when released.
Enterprise
Custom
One annual price, invoiced in advance. From 50 users, everyone in the company on one contract: unlimited app integrations, SSO and a named contact.
Talk to sales →On request
Custom
Dedicated EU cloud, on-premises and professional services
Shared EU cloud is standard and included. Onboarding, trainings and the named contact are always included.
Talk to sales →- Billed monthly at list price, cancel any month — or prepay a year and save 20%.
- One plan for the whole company: moving up moves everyone. Every user who signs in has a seat, including clients added to a workspace; AI agents need none.
- Reads from your own AI tools over MCP are free within fair use. When the pool runs out, 1,000 KU top-ups for €250 are added automatically, up to a cap your admin sets.
Connect the blocks with intelligence.
See how In Parallel adds a coordination layer to your existing tools. 30-minute demo.