Zubu provides an enterprise data collection platform that extracts information in‑place from SaaS sources such as Google Workspace, Microsoft 365, Slack, and Confluence, minimizing risk, cost, and latency. Users retain full control over the data lifecycle, sending collected files directly to their own cloud storage—AWS S3, Azure Blob, Google Cloud Storage, or any preferred destination—ensuring data sovereignty and version‑level completeness.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often need to gather data from multiple SaaS platforms such as Google Workspace, Microsoft 365, Slack, and Confluence for compliance, analytics, or migration purposes. Traditional extraction methods require manual downloads, third‑party pipelines, or data movement that increase security risk, cost, and time.
Solution
Zubu offers an in‑place data collection service that connects directly to cloud productivity suites and extracts all relevant content, including every version and environment, without moving data through intermediate servers. The platform streams the harvested data straight to the customer’s chosen cloud storage—AWS S3, Azure Blob, Google Cloud Storage, or another destination—preserving full data sovereignty. Users retain end‑to‑end control over the data lifecycle, from source extraction to final storage, minimizing exposure and operational overhead. By automating the collection process, Zubu reduces the time and expense associated with large‑scale data gathering while maintaining strict security compliance.
Target Audience
Primary customers are large organizations and enterprises that need comprehensive, secure extraction of data from multiple SaaS productivity tools for compliance, migration, or analytics initiatives.
Features
- Direct connectors for Google Workspace, Microsoft 365, Slack, and Confluence that pull data in place
- Version‑aware extraction that captures every document revision and configuration state
- Seamless delivery to customer‑owned cloud buckets (AWS S3, Azure Blob, Google Cloud Storage) with no intermediate storage
- Fine‑grained lifecycle controls allowing users to manage retention, access, and deletion policies
- Minimal data movement architecture that limits exposure and lowers compliance risk
- Scalable extraction engine designed for enterprise‑wide volumes and multi‑environment deployments