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How Lumnic works

Lumnic connects to your data sources, then lets you query, create, act, and automate on top of them, without exposing your data to third-party models.

Connectors

Lumnic connects to the tools your team already uses, including:

  • Google Workspace: Gmail, Drive, Docs, Sheets, Slides
  • Microsoft 365: SharePoint, OneDrive, Outlook, Teams
  • Slack
  • Jira and Confluence
  • Databases: Oracle, PostgreSQL, MySQL, SQL Server

Connectors are built per organization so the integration fits your stack rather than forcing you into a generic template. Because Lumnic unifies all your sources, an answer is drawn from everything you've connected, not just one silo.

What Lumnic does with your data

Once your sources are connected, Lumnic gives you four capabilities:

Query

Ask questions in plain language and get answers grounded in your organization's actual content. Lumnic searches across your connected sources for the most relevant passages and uses them to ground its response. You can point a query at specific sources or let it search everything you have access to. See the Prompt Guide for how to scope queries.

Create

Generate new knowledge from your data: reports, briefs, analyses, project updates, release notes, and more, all drawn from internal context rather than generic boilerplate. See Drafting content.

Act

Take action directly on what Lumnic finds, without switching tools.

Agentic workflows

Hand recurring and multi-step work to Lumnic with Tasks: scheduled jobs, reminders, and agents that run a sequence of steps on your behalf.

Permissions

Lumnic respects the permissions you already have in your connected tools. You only get answers grounded in content you're allowed to see. If you don't have access to a document in Drive or a channel in Slack, Lumnic won't surface it to you either.

Model flexibility

Lumnic isn't locked to a single AI provider. You can swap the underlying model freely rather than being tied to one vendor's ecosystem. This means you can choose the model that best fits your needs for quality, cost, or compliance, and change it as the landscape evolves.

Security and data privacy

Security is built in, not bolted on. The defining principle is that your proprietary data never trains someone else's model and, depending on your deployment, never leaves your perimeter.

  • A dedicated sanitization model scrubs PII and sensitive fields before any query reaches an external LLM.
  • Encryption in transit and at rest.
  • Access controls aligned with your existing permissions.
  • Regular audits.

Deployment options

Lumnic offers the full platform (query, create, act, and agents) across three deployment tiers, so you can match it to your security posture:

  • Shared Secure Cloud. The base offering with the full platform. A dedicated sanitization model scrubs PII and sensitive fields before queries reach top-shelf LLMs: frontier intelligence with enterprise privacy.
  • Private Cloud. A dedicated cloud with your own model instance, running in isolation for regulated industries that need tenant separation, full auditability, and predictable performance.
  • On-Premises. A locally hosted model running inside your own data center. Every query, generated artifact, and agent action stays within your infrastructure, engineered for defense, financial services, and sovereign-data workloads.

To discuss which tier fits your organization, contact your Lumnic representative or reach out at contact@lumnic.io.