Policy-based privacy
A promise
Privacy policies, terms of service, and contractual commitments are better than nothing. But a policy can change, a contract can be renegotiated, and your data still travels to infrastructure you do not control.
Competitive comparison
Compare the tools, the tradeoffs, and why architectural privacy matters when sensitive work cannot leave your environment.
ZSearch is built so documents, queries, and AI interactions do not have to leave your environment. With sovereign deployment, files are indexed where they live and AI runs where the data lives.
Your infrastructure
Local, on-premise, private cloud, or air-gapped.
No required egress
Sovereign deployments can be configured without required egress.
Policy-based privacy
Privacy policies, terms of service, and contractual commitments are better than nothing. But a policy can change, a contract can be renegotiated, and your data still travels to infrastructure you do not control.
Architectural privacy
ZSearch is built so the system does not require your data to leave. Your files are indexed on your machine or infrastructure. In sovereign deployment, the AI runs where your data lives.
At a glance
Most enterprise AI tools improve legal terms around cloud processing. ZSearch changes the architecture so sensitive work can stay inside your boundary.
Each competitor solves a real problem. The difference is where the data goes, who controls the AI layer, and whether the deployment can match sensitive environments.
Enterprise SaaS search
Glean connects to common workplace tools so large organisations can search across disconnected cloud systems.
Glean depends on external vendor APIs and cloud processing. Sensitive documents, employee search queries, and workplace behaviour move outside your organisation boundary. There is no air-gapped deployment, local AI inference, or model choice.
Legal, finance, HR, and healthcare teams that need AI-powered search aligned to their data boundary. ZSearch gives them cross-workspace intelligence, sovereign deployment, and an audit trail they control.
Cloud assistant with enterprise terms
ChatGPT Enterprise offers stronger privacy terms than the consumer product, higher limits, faster responses, and basic admin controls for teams.
Not used for training is not the same as stays in your environment. Documents and queries are still processed on OpenAI cloud infrastructure. There is no self-hosted option, local inference, bring-your-own-model workflow, or customer-held audit trail.
Teams that want a conversational AI experience over sensitive documents with source citations, model choice, and a sovereign deployment path.
Microsoft 365 ecosystem AI
Microsoft Copilot adds AI to the Microsoft 365 apps, making that ecosystem smarter for organisations already committed to it.
Copilot is locked to Microsoft infrastructure, Microsoft models, and Microsoft products. It cannot run on non-Microsoft infrastructure, route to non-Microsoft AI models, or operate as a self-hosted or air-gapped platform.
Organisations that need AI search across their full stack, not just Microsoft 365. ZSearch works with mixed tooling, multiple AI providers, and sovereign infrastructure without single-vendor dependency.
Workspace AI layer
Notion AI summarises pages, drafts content, and answers questions from notes and databases for teams that already use Notion as their knowledge base.
Notion AI runs on external vendor APIs and processes workspace content on cloud infrastructure outside your control. There is no self-hosted option or local inference.
Teams that want notes, planning, search, collaboration, and AI chat without making their content dependent on someone else's cloud AI engine.
The page is not only about enterprise procurement. It is for anyone who works with documents that should not become someone else's cloud context.
Client files, contracts, personal records, and unpublished work become a private searchable memory on your device. Sensitive records stay under your control.
Keep each client private and separate while still searching every document, note, and deliverable from one local knowledge base.
Give small teams enterprise-grade document intelligence for contracts, employee records, financial files, and customer data without adding cloud risk.
Deploy with data boundaries, role-based access, audit logs, departmental Spaces, and sovereign infrastructure in approximately two days.
The practical questions usually come back to one thing: can you get useful AI without surrendering your data boundary?
Try ZSearch free, then choose Cloud or Enterprise when you need team sync, role-based control, or sovereign deployment.