Release Date: Feb 5th, 2026

1. Overview

Version 2.11.0 introduces a guided Project Creation Wizard, a dedicated Data Asset Quality view, and native Slack notifications and commands, alongside continued improvements to proactive data quality and workspace automation.

Highlights include:

• Project Creation Wizard: A guided flow for setting up new Projects in Brighthive.

• Data Asset Quality Tab: A dedicated view surfacing data quality checks directly in the platform.

• Slack Integration: Platform notifications and commands are now available directly in Slack.

• Proactive Quality Agent: The Quality Agent can now act proactively on data assets, not just on demand.

• Navigation & UI Refresh: Responsive navigation and component library updates across the web app.

2. Key Enhancements and Fixes

Projects

• Introduced the Project Creation Wizard, a guided flow for setting up new Projects.

• Added foundational Project container resources.

Data Quality & Governance

• Added a dedicated Data Asset Quality tab, surfacing quality checks directly in the platform UX.

• The Quality Agent can now act proactively on data assets rather than only on demand.

• Verified PII detection compatibility with the latest OpenMetadata version.

Slack Integration

• Shipped Slack integration supporting platform notifications and commands.

Ingestion & Automation

• Automated OMD agent triggering scoped to the correct workspace via serverless functions.

• Improved the data ingestion pipeline for greater reliability.

• Added local development improvements that remove the need for cloud dependencies during testing.

UX

• Rolled out responsive navigation and component library updates across the web app.

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.