LiquidText
The infinite workspace for deep document analysis and multi-source synthesis.
The Knowledge Integration Platform for enterprise data discovery, governance, and AI readiness.
Onna is a technical-grade Knowledge Integration Platform designed to solve the fragmentation of unstructured data across modern SaaS environments. By 2026, Onna has positioned itself as the foundational 'Data Fabric' for Enterprise AI, enabling organizations to connect, crawl, and index data from disparate silos like Slack, Microsoft 365, Google Workspace, and Zoom. Unlike traditional archiving tools, Onna utilizes a real-time API-based architecture to capture not just files, but the rich metadata and context of collaborative conversations. This architecture supports high-performance federated search and automated classification, facilitating eDiscovery, compliance audits, and internal investigations. For 2026 market positioning, Onna acts as a critical intermediary for Retrieval-Augmented Generation (RAG) workflows, providing a governed, cleaned, and permission-aware data stream to Large Language Models. Its technical stack focuses on maintaining the chain of custody for legal defensibility while offering granular PII (Personally Identifiable Information) detection and automated data retention policies. It is an essential component for Fortune 500 companies looking to centralize control over their sprawling cloud-based intellectual property without sacrificing the agility of decentralized SaaS tools.
Captures data via native SaaS APIs, preserving original metadata, message threading in Slack, and version history in Google Drive.
The infinite workspace for deep document analysis and multi-source synthesis.
Empower your teams to learn, practice, and perform with AI-driven sales enablement and microlearning.
Transform fragmented datasets into navigable, high-fidelity neural knowledge graphs for RAG orchestration.
The minimalist's gateway to focused reading and intelligent content archival.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Utilizes machine learning models and pattern matching to identify social security numbers, credit card info, and sensitive health data across silos.
Automatically processes images and scanned PDFs within the pipeline to make text searchable across the entire enterprise index.
A single search interface that queries indexed data from 30+ SaaS applications with sub-second latency.
Produces data in industry-standard formats (load files, CSV, DAT) compatible with legal review platforms while maintaining the chain of custody.
Applies NLP to identify the 'tone' of communications, helping legal teams find high-risk or problematic conversations faster.
Synchronizes user permissions from source systems so that search results only display what a user is authorized to see.
Legal teams need to collect data from Slack and Teams immediately after a legal hold is issued.
Registry Updated:2/7/2026
Export as a load file for legal counsel.
Ensuring sensitive data is not stored in unsecured Slack channels or public Google Folders.
Quickly reviewing a departing employee's activity across 10+ SaaS tools for IP theft.