Release Date: Sep 1st, 2026
1. Overview
Version 2.14.0 brings Slack integration fully to life, with proactive notifications, in-channel presence, and charts rendered directly in the conversation, alongside continued BrightStudio improvements.
Highlights include:
Slack Integration Goes Live: real-time notifications, proactive BrightSignals alerts, in-channel BrightAgent presence, and charts rendered directly in Slack.
BrightStudio Improvements: broader model-provider compatibility and improved resource-connection parity with Projects.
2. Key Enhancements and Fixes
Slack Integration
Key platform interactions (notifications, commands) now live where teams already communicate, shortening time-to-action and reducing on-call/escalation load.
BrightSignals launches — Brighthive's proactive notification layer. Subscribe to a workspace, data asset, or agent run and get updates delivered as Slack DMs or channel posts, including inline attachments (CSVs, dashboards, charts).
BrightAgent can now run inside a Slack channel, staying quiet until @mentioned. Shipped with a full ops guide.
Charts and visualizations now render directly in Slack via BrightAgent.
BrightStudio
Investigated and improved compatibility with additional model providers.
Improved resource-connection parity with Projects.
Fixes
Updated a legacy data source connection.
3. Feedback
We value your feedback to continue improving the Brighthive platform. Please share your thoughts or report issues to support@brighthive.io.
About Brighthive
Brighthive is an agentic data platform that functions as a data team in a box — a coordinated set of specialized AI agents (BrightAgent) that work the full data lifecycle around the clock: connecting to your sources, cleaning and validating data, enforcing governance and data contracts, and keeping pipelines self-healing and live. Underneath every workspace, Brighthive builds and maintains a living knowledge graph and enterprise data catalog — capturing not just schemas and metadata but the tribal knowledge about your business, use cases, and policies that normally lives only in people's heads. That context is what lets the platform, and every downstream tool, reason accurately about your data instead of guessing. The result: every team inside the enterprise gets to skip the grunt work and go straight to trustworthy, self-service insight — querying, visualizing, and analyzing data faster, on a foundation that's clean and governed by default. Brighthive connects to your existing data stack or stands one up from scratch, augmenting or replacing point tools without disrupting how your team already works.



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