Compare to
Loom
Loom turns meetings and updates into async video. In Parallel turns them into a shared record of decisions, owners and risks.
Where Loom records the context, In Parallel captures the decisions -- and keeps everyone aligned on what happens next.
In short
Loom, now part of Atlassian, suits teams that share updates, walkthroughs and screen recordings as async video. Decisions inside a Loom video stay there until someone watches it, so organisations that want decisions and action items captured automatically from meetings, kept as a shared record and readable by their AI tools, should choose In Parallel.
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 recorded context to a shared decision record.
From async video to a shared decision record
Loom is excellent at replacing a meeting or an email with a short, watchable video. But the decisions and action items inside that video still live in the video -- someone has to watch it, take notes, and update the plan. In Parallel captures the decisions automatically and keeps them as a shared record, with an owner, a status and a link to the meeting.
From watching to knowing what changed
With Loom, staying current means watching recordings. The more your team relies on async video, the more there is to watch. In Parallel reads the meeting for you -- surfacing what was decided, who owns it, and what shifted -- so you see the change without watching the footage.
From Atlassian-centric to tool-agnostic coordination
Loom is now part of Atlassian and integrates most deeply with Jira. In Parallel is tool-agnostic by design -- it keeps one record of decisions whatever tools your teams actually use, and serves it to any MCP-capable AI tool, without assuming the rest of your stack lives inside one vendor's ecosystem.
From communication to execution intelligence
Loom makes communication asynchronous and clear. In Parallel makes execution visible. It is less about how you share an update and more about whether the work behind that update is on track -- captured from meetings, kept as a record with owners and status, and reflected on the workspace pages it touches.
When to choose Loom
- Async video is the best way to share updates and walkthroughs on your team
- You need screen recordings for documentation, support, or sales outreach
- Your stack is centred on Atlassian and Jira
- One-to-many communication matters more than execution tracking
When to choose In Parallel
- You need decisions and action items captured automatically, not buried in video
- You want a record of decisions and owners that stays current without manual upkeep
- Managers and executives need real-time visibility into whether work is on track
- Your teams use tools from multiple vendors, not just the Atlassian ecosystem
Frequently asked questions
Does In Parallel replace Loom?
Not exactly -- they do different jobs. Loom is for recording and sharing async video. In Parallel is for capturing the decisions and action items from your meetings and keeping them as a shared record. Many teams use Loom for communication and In Parallel for coordination.
Loom is part of Atlassian now -- how is In Parallel different from that ecosystem?
Loom gives Atlassian an async-video building block alongside Jira and Confluence. In Parallel is the intelligence layer on top: it captures decisions from meetings, keeps one shared record of decisions, and works across tools -- not just within Atlassian. See our In Parallel vs Atlassian comparison for the full ecosystem view.
Can In Parallel capture decisions from meetings the way Loom captures video?
Yes -- that is its core job. In Parallel joins your meetings, captures decisions and action items, and keeps them as a shared record, updating the workspace pages the meeting touched. Instead of a recording you have to rewatch, you get a structured, current view of what was decided and what happens next.
Does In Parallel work with Jira like Loom does?
In Parallel works alongside Jira rather than inside it, and it is tool-agnostic: it captures decisions from the meetings where work is discussed, whatever tool tracks the tickets, and the Business plan includes up to five app integrations. You are not limited to the Atlassian ecosystem to get value from it.
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.
Capture the decision, not just the video.
See how In Parallel turns every meeting into a shared decision record. 30-minute demo.