Release Notes

Bloomy can now answer CRM questions live from Salesforce and HubSpot. Revenue leaders get a richer pipeline view with ARR trend drill-downs. And the device pipeline now auto-labels apps and URLs every night so your productivity data stays current.

Bloomy answers CRM questions live, and your pipeline view just got a lot richer
This release brings live Salesforce and HubSpot data into Bloomy, gives revenue leaders a more powerful way to explore ARR trends, and keeps productivity metrics current with nightly AI labeling.
What's new
Bloomy can now answer live CRM questions
Bloomy connects directly to your Salesforce or HubSpot data so you can ask about deals, accounts, contacts, and pipelines in plain language without switching tabs or pulling reports.
- Ask about open deals, pipeline stages, contact history, and account timelines directly in chat
- Bloomy surfaces deal contacts even when standard contact roles are missing, using account contacts and recent email activity as fallbacks
- Pipeline stages are richer and include more context, so summaries reflect how your team actually sells
- Bloomy picks the right CRM source automatically when more than one integration is connected
RevOps pipeline view is more informative
Revenue leaders and RevOps teams have a clearer, more interactive way to explore performance and ARR trends without leaving the overview.
- Pipeline chips use clearer colors so you can scan stage mix faster
- Click any ARR KPI tile to open a detailed trend panel showing won and lost amounts, average ACV, open pipeline, and win rate
- Drill into any period directly from the trend panel to see which deals closed, sorted by amount
- Closed deals carry pipeline metadata so historical performance comparisons are more accurate
Nightly AI labeling keeps productivity data current
The device pipeline now runs an auto-labeling pass every night so newly discovered apps and URLs are categorized without waiting for a manual review cycle.
- Unlabeled apps and URLs are categorized automatically each night using AI
- Labels include category, reasoning, and a system actor attribution so the history stays traceable
- The existing manual review and labeling flows are unchanged
Bloomy sources are easier to read
When Bloomy draws from multiple documents or integrations, the source chips are now easier to scan and more accurately reflect where the answer came from.
- Provider names are normalized so duplicate or inconsistent labels are cleaned up
- Transcript-backed sources are detected from document metadata and shown more accurately
Who benefits
- Revenue and RevOps teams: live CRM answers in Bloomy and richer pipeline exploration without leaving the product
- Sales leaders: ARR trend drill-downs and closed-deal details make period reviews faster
- Admins managing integrations: CRM connections are easier to configure and the multi-connection experience is more predictable
- Teams tracking productivity: nightly labeling keeps app and URL categories current with no manual effort
Try it
- Open Bloomy and ask about a specific deal, account, or pipeline in your connected CRM
- Navigate to the RevOps overview and click an ARR KPI tile to explore the trend panel
- Drill into a recent period to see which deals closed and compare against prior periods
- Check your device agent productivity view and look for newly labeled apps or URLs from the past week

You can connect Salesforce with clearer guidance, manage device agents with more confidence, and move through matching flows with better visibility and safer actions.

Better setup guidance, stronger agent controls, and cleaner matching flows
This release helps teams connect Salesforce with less guesswork, manage device agents more confidently, and move through matching and employee cleanup workflows with better visibility.
What's new
Salesforce setup is easier to follow
Connecting Salesforce now feels more guided from the start, especially for teams handling setup for the first time.
- A clearer install-first flow helps teams understand what needs to happen before they connect
- In-product guidance makes it easier to find the setup steps and troubleshoot common connection issues
- Salesforce settings are easier to review in context once the integration is in place
Device agent management gives admins more control
Admins now have better tools to keep device agent lists clean and relevant.
- Device agent views are more capable and easier to work with
- Teams can use keyword-based auto-archive controls to reduce clutter from irrelevant agents
- Unarchive actions make it easier to bring back the right agents when activity resumes
Matching flows are easier to trust
User and device matching surfaces now do a better job of helping admins make the right decision without extra cleanup afterward.
- Matching flows make room for creating an employee when one does not already exist
- Validation and processing feedback are clearer during matching steps
- GitHub outside collaborators are easier to spot in matching views
Employee cleanup feels safer
When admins remove an employee, connected screens now stay in sync more reliably so the result is easier to understand.
- Deletion behavior is clearer across dialogs and tables
- Follow-up updates feel more immediate after the action is complete
Who benefits
- Revenue and ops teams using Salesforce: setup is easier to follow and troubleshoot
- Admins managing integrations: connection and settings flows feel clearer
- Teams with large device inventories: agent cleanup and recovery are easier to manage
- People ops and IT admins: matching and employee management workflows feel safer and more transparent
Try it
- Connect Salesforce in a workspace that has not completed setup yet and review the new guidance flow
- Open device agent management and test keyword-based cleanup controls on a small set first
- Run through a user matching flow and confirm outside collaborators and create-employee paths are easier to review
- Remove a test employee and verify related tables update the way you expect

You can now share saved org chart views, use Bloomy more comfortably on mobile, reopen chats with clearer loading feedback, and move through chat sessions with more reliable progress updates.

Share views faster, move through chats more smoothly
This release makes it easier to share how your team is structured, keep context when you open Bloomy on mobile, and trust chat progress during longer workflows.
What's new
Shareable org chart views and clearer team navigation
You can now keep the org chart in the exact state you want, then come back to it or share it with someone else. Views and filters are easier to preserve, so team reviews feel less repetitive and collaboration is faster.
- Bookmark an org chart view and return to the same setup later
- Share a link so teammates land on the same filtered view
- Keep your place more reliably after a refresh
- See a cleaner My Team layout with clearer loading states
- Preview people faster with avatar hover details in more places
Bloomy works better on phones and when reopening past chats
Bloomy is now easier to use on smaller screens and clearer when you jump back into an earlier conversation. That makes on-the-go follow-up work feel less clumsy and less guessy.
- Chat fits mobile screens more comfortably
- Past sessions show clearer loading feedback while they open
- Conversation titles update more helpfully, so older threads are easier to spot
- Long responses and thought sections are easier to follow while Bloomy is working
Chat progress feels clearer and more reliable
Longer Bloomy workflows now do a better job of staying readable from start to finish. Status updates are clearer, and progress is easier to follow when Bloomy is thinking, compacting context, or working through multiple steps.
- Clearer progress language when Bloomy compacts conversation history
- More dependable follow-through during longer tool-heavy responses
- More predictable progress display while streamed thoughts update live
A few everyday surfaces are easier to scan
A handful of common product surfaces also got cleaner and more helpful, especially when you are moving quickly.
- Browser password autofill works more reliably on sign in
- Alert empty states are clearer instead of feeling blank
- Alert layouts are easier to scan when items are present
Who benefits
- Managers: You can share team views faster and revisit the same org chart setup without rebuilding it
- Leaders: Mobile-friendly Bloomy sessions make it easier to check progress away from your desk
- Teams using Bloomy often: Long responses feel clearer, steadier, and easier to follow
- Admins: Everyday navigation and sign-in flows feel smoother during routine work
Try it
- Open the org chart, apply a useful view, then refresh or share the link with a teammate
- Reopen an older Bloomy thread on mobile and compare the loading experience
- Run a longer Bloomy prompt and watch how progress updates appear while the response unfolds

Bloomy now keeps long thought streams easier to follow, completes replies more reliably, and works better with browser password autofill on sign in.

Bloomy is smoother from sign in to final answer
This release makes everyday product moments feel more polished. Bloomy is easier to follow while it works through longer replies, final answers land more reliably, and signing in works better with the browser tools people already use.
What's new
Bloomy keeps long responses easier to follow
When Bloomy is working through a multi-step reply, the experience now stays easier to read without fighting the scroll position.
- Thought sections behave more predictably while new content streams in
- Bloomy shows a clearer status when it is compacting older conversation context
- Long replies feel less jumpy and easier to monitor in real time
Final answers complete more reliably
Bloomy is now better at finishing responses cleanly, especially in longer or more complex sessions where interruptions can be more noticeable.
- Fewer cases where a reply appears to stall before the final answer lands
- More consistent completion for long-running responses
- A smoother handoff from in-progress work to the finished answer
Sign in works better with browser autofill
The sign-in experience now plays more nicely with browser password managers and saved credentials.
- Browsers can recognize the login form more reliably
- Saved usernames and passwords are easier to fill
- Signing in is faster on repeat visits
Who benefits
- Frequent Bloomy users: Chat feels more stable and readable during longer tasks
- Teams running complex prompts: Final answers arrive more consistently when Bloomy has more to do
- Returning users: Saved credentials work more smoothly during sign in
Try it
- Open Bloomy and run a longer prompt to see the improved streaming experience
- Watch for the clearer compacting status during longer conversations
- Sign out and sign back in with saved browser credentials to test autofill

Bloomy now streams its reasoning more clearly, supported models expose reasoning effort controls, GPT-5.4 and GPT-5.4 mini are live, and Activity Over Time is easier to compare across physical and virtual work.

Bloomy is clearer, smarter, and easier to steer
This release makes Bloomy feel more transparent during complex work. You can follow streamed reasoning more clearly, tune how much effort supported models should spend on harder prompts, and choose from the new GPT-5.4 model options.
What's new
Bloomy shows live reasoning more clearly
Bloomy now renders streamed thoughts in a cleaner, easier-to-follow format while a response is still in progress. Instead of a messy stream, reasoning appears in a more structured way, with better separation between thought blocks and tool activity.
- Clearer live progress during complex responses
- Better visibility into tool activity while Bloomy works
- A more readable streaming experience for long or multi-step answers
Set reasoning effort on supported models
Supported models can now expose reasoning effort controls directly in the product. That gives you more control over how much thinking Bloomy should apply when a task needs speed versus deeper analysis.
- Better control over model behavior for different task types
- Stronger fit for both fast answers and deeper reasoning work
- More transparent model settings where supported
GPT-5.4 and GPT-5.4 mini are now available
The model lineup now includes GPT-5.4 and GPT-5.4 mini, giving teams newer options for quality, speed, and cost tradeoffs inside Abloomify.
- New model choices for different workloads
- Better flexibility when balancing speed and depth
- Cleaner model catalog as older options are retired
Activity Over Time is easier to compare across work modes
When viewing combined device activity, Activity Over Time can now separate physical and virtual patterns more clearly. That makes it easier to spot how work is distributed instead of reading everything as one blended trend.
- Clearer comparisons across physical and virtual activity
- Better visibility into mixed work patterns
- Easier interpretation of trend changes over time
Who benefits
- Leaders and executives: Bloomy is easier to trust during complex work because you can follow progress more clearly
- Managers: Better model controls and clearer activity views make it easier to choose the right level of detail and interpret team patterns
- Teams using Bloomy heavily: New GPT-5.4 options add better flexibility across quality, speed, and cost
Try it
Open Bloomy, choose GPT-5.4 or GPT-5.4 mini, and run a more complex prompt. If reasoning effort is available for that model, adjust it and compare the response style. Then check Activity Over Time to compare physical and virtual work patterns more clearly.

Metrics Explorer now filters correctly on load, GitHub and Jira identity resolution is restored, and My Team scoping works reliably for all integrations.

Metrics Explorer: more accurate and reliable out of the box
This release fixes two compounding issues that could cause the Metrics Explorer to show incomplete or incorrect data, particularly for teams using GitHub or Jira integrations.
What's new
Metrics Explorer loads correctly by default
The Metrics Explorer now shows your full team view as soon as you open it. Previously, a default filter could silently hide certain metric rows before you had a chance to adjust anything. That filter is now neutral on page load, so what you see is accurate from the start.
- No more missing rows on the initial Metrics Explorer view
- Attribute-based filtering only activates when you select a value
- Consistent behavior across "All Company" and "My Team" views
GitHub and Jira identity resolution restored
People data from your GitHub and Jira integrations now maps correctly to your team members. This means team membership, activity attribution, and "My Team" scoping all reflect who you actually expect to see.
- GitHub activity is correctly attributed to the right team members
- Jira work is mapped accurately to employees
- My Team scoping now reflects the right set of people
Who benefits
- Managers: Metrics Explorer shows your team's full activity without needing to adjust filters manually
- Admins: GitHub and Jira integrations report accurate data and correctly scope team views
- Leaders: Core Insights metrics reflect the actual state of your team, not a filtered subset
Try it
Open Metrics Explorer. All metric rows should appear without adjusting any filters. If your team uses GitHub or Jira, verify that "My Team" scoping correctly identifies your direct reports.