Context + Google Workspace

Google Workspace is the productivity backbone of many organizations, but the knowledge created across Docs, Sheets, Slides, and Calendar exists in isolated silos. A product requirements document in Google Docs references a timeline in Sheets, a presentation deck in Slides summarizes the strategy, and Calendar events capture the meetings where decisions were made. Yet none of these artifacts are connected in a way that enables an engineer or analyst to ask a question and get a citation-backed answer that spans the full context of a project.

Context connects to your Google Workspace environment and extracts the organizational knowledge embedded across every document type. Using permission-aware indexing that respects your existing Google Workspace sharing controls and organizational unit structure, Context builds a knowledge graph that maps relationships between documents, people, projects, decisions, and timelines. A question about a program milestone surfaces the relevant Docs specification, the Sheets budget tracker, the Slides briefing deck, and the Calendar invite where the milestone was approved -- all linked together with full provenance.

For defense contractors, deep tech companies, and organizations operating in regulated industries, Google Workspace data often contains controlled unclassified information, export-controlled technical data, or proprietary research. Context deploys entirely on your infrastructure -- on-premise, in your VPC, or in air-gapped environments. Your Google Workspace content is indexed and searched locally. No document content, metadata, or user queries are transmitted to external servers. This architecture enables organizations subject to ITAR, EAR, CMMC, or FedRAMP requirements to leverage AI-powered search without compromising compliance posture. Context provides citation-backed answers that trace every response to its source document, giving analysts and engineers confidence in the provenance of every answer.