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Ask once,
cite forever.

Gmail · Notion · Slack · GitHub. Index every doc, email, and message in one place — answers come back with citations.

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  • 12 SaaS · connect in 5 min
  • Cited sources · time-ordered
  • On-prem · BYOK
  • MCP · TypeScript SDK
Ask your memory12 sources · 8,432 docs
Connected sources12 sources
Gmail Google Drive Google Calendar Notion Slack Linear GitHub Intercom Jira Obsidian Figma
When you need it most

Tie every context together

  • When tiny phrasing differences flip the AI's answer

    A single missing line of context makes the model say something else. Without citations there's no way to check it.

  • When you keep re-explaining the same thing

    Per teammate, per meeting, per AI. Connect once and stop typing the same background paragraph.

  • When you re-paste context into every AI

    ChatGPT, Claude, Cursor — all getting the same dumped paragraph. One MCP connection, every LLM reads the same memory.

  • When you have to dig up why a decision was made

    The doc isn't enough — you need the Slack thread, the PR comment, the email. Time-ordered citations, intact.

  • When a great answer keeps getting buried

    You found it once, then have to find it again next week. Save it to memory and the next person inherits it.

  • When a new hire needs to ramp fast

    Whoever just joined has to understand decisions, docs, and context at speed. Five minutes, not five weeks.

Before / After

Same question. Different 30 minutes.

Say you need to find what your team decided last week. Here's how it goes.

Scenario "Where did we land on the RAG eval last week?"
Before

Without Schift — search four places one at a time

  • Slack RAG eval
    124 results. Which one was the decision?
  • Gmail rag eval
    19 threads. Tuesday where?
  • Notion RAG eval
    3 pages — all from last year.
  • Drive rag eval pdf
    8 PDFs. Which one is the call?
30 minutes later, you DM a teammate.
After

One Schift query — answer arrives with citations

"Where did we land on the RAG eval last week?"
legal-rag-sota-v2 passed — Legal 54.7%, +13.2pp over Qwen3-8B SOTA. jskang wrote it up Tuesday in #eng.
Slack #eng · Tue 14:32 Notion RAG Eval v2 · yesterday GitHub PR #29 · 2d ago
5 seconds. Cited.

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