CollectivIQ launches GigaBrain to share knowledge across enterprise AI teammates
CollectivIQ announced GigaBrain, a shared enterprise intelligence layer that stores context from employees’ AI teammates and makes it available to other authorized teammates. The system is built for Digital Direct Reports (DDRs), which collect context while handling assignments. GigaBrain connects relevant parts of that context across an organization, aiming to reduce repeated explanations of…
Key points
- GigaBrain is a shared memory layer for CollectivIQ’s Digital Direct Reports, linking context across teams.
- Features include provenance, source attribution, expiry, incognito mode, and role‑based access.
- Integrations cover Microsoft 365, Google Workspace, Salesforce, Atlassian, and GitHub; no training data used for model training.
Key features include provenance tracking, source attribution, confirmation records, and expiry of stale facts. The product page says facts carry their source and that single‑source claims await corroboration. Incognito mode lets users interact without contributing to shared memory, and the platform enforces role‑based access, OAuth permissions, and logs. Integrations cover Microsoft 365, Google Workspace, Salesforce, Atlassian, and GitHub. CollectivIQ also states that commercial model‑provider inputs and outputs are not used for training, and that some providers may retain API content for abuse monitoring up to 30 days.
The release does not provide quantitative benchmarks for accuracy or productivity gains. Buyers will need to evaluate how often employees must supply missing context, how obsolete information is reused, and how corrections propagate through agents.
CollectivIQ Launches GigaBrain to Share Knowledge Across Enterprise AI Teammates
Unite.AI · 21 October 2026
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