Your data. Your control. Your AI.

Stop re-explaining yourself to AI. Start with context that already knows you.

Omniscient is your personal data layer for AI. Connect your sources once, choose exactly what can be used, and get better writing, better chat responses, and useful automations without giving up control.

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Chat with real context

Ask questions with your connected data in context so you get useful answers now, not after weeks of re-explaining yourself.

  • Source-level controls
  • Memory-aware responses
  • Clear visibility into what was used

Write in your tone

Generate messages, posts, and drafts that sound like you by grounding outputs in your existing writing and reflections.

  • Email, LinkedIn, text, and more
  • Voice and style consistency
  • Manual draft optional, not required

Automate what you repeat

Schedule recurring jobs that use your data and web context to create outputs and reminders that actually reduce your workload.

  • Weekly/monthly workflows
  • Source-aware scheduling
  • Actionable run history

Generic AI asks for context. Omniscient starts with it.

One connected workflow across planning, drafting, and execution: with selected sources already in context, Omniscient can move directly to outcomes.

Generic AI

Plan my week based on what changed since Friday.
I can help with that, but I need a bit more context first. Right now I don’t know what changed since Friday in your schedule or priorities.

Omniscient

Plan my week based on what changed since Friday.
Using your selected Gmail + Notion + GitHub sources, here is this week’s priority stack: 1. Finalize connector reliability fixes before Wednesday demo. 2. Send two pending stakeholder follow-ups already drafted in inbox. 3. Block one 90-minute QA pass for automations before end of day Tuesday.

Generic AI

Draft my weekly LinkedIn update from this week’s work.
Sure! I can draft it, but I’ll need a quick rundown of your week first.

Omniscient

Draft my weekly LinkedIn update from this week’s work.
Drafted in your voice from your recent writing + this week’s shipped work: "This week reinforced a simple lesson: context compounds. When your systems understand real work, you spend less time re-explaining and more time executing. We tightened reliability, closed key loops, and shipped with more clarity."

Generic AI

Set up a weekly workflow that automatically drafts a LinkedIn update based on what has happened this week in my business.
Done — I’ll prompt this every Friday at 4:00 PM Pacific. The workflow is set to draft the post from the context in chat and ask you for missing highlights when needed

Omniscient

Set up a weekly workflow that automatically drafts a LinkedIn update based on what has happened this week in my business.
Automation created: - Every Monday, 9:00 AM - Re-sync selected sources first - Generate weekly priorities - Draft one LinkedIn update in your voice - Queue one high-value outreach follow-up for review

Control and security are not side features.

Trust is the product. You choose what data is included, you can inspect what was used, and you can revoke or delete data at any time. Security controls are built to keep that ownership intact.

Control is the product

  • Include/exclude sources by surface
  • Inspect what context was used
  • Re-sync, disconnect, or delete source data any time

Security and trust baseline

Encrypted at rest
Secure in transit
No context lock-in
User-managed controls

Put your data to work for you.

Connect your sources once. Then write, chat, and automate with context that is actually yours.

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