PIPELINE // 04 STAGES

From scattered artifacts to one queryable memory.

01

Connect the sources

Read-only connectors index the tools your team already writes in. No write scopes are ever requested. Initial crawl time scales with corpus size and is confirmed during scoping, not guessed at here.

02

Extract atomic facts

Long-form artifacts are decomposed into single assertions, each keeping a pointer back to the exact paragraph, message or line it came from.

03

Resolve and link

Entity resolution collapses aliases, supersession chains order competing versions, and disagreements are tagged rather than averaged away.

04

Recall on demand

Ask a question in Slack or the console. You get the synthesized answer, its confidence, its age, and the sources behind it.

Source coverage (50-person demo tenant)

As much as 80% of enterprise data is “dark”: collected, stored, and never used again. These connectors exist to pull that share back into something answerable.

slack

channels + threads

LIVE

confluence

spaces + comments

LIVE

jira

issues + transitions

LIVE

google_drive

docs + sheets

LIVE

github

PRs + markdown

LIVE

notion

databases + pages

BETA

Point it at your own corpus.

Onboarding is handled by the Sorvanis team.

Made by Sorvanis

We build data infrastructure that answers the questions a business keeps re-asking itself. Agentic Brain is one of them.

dev@sorvanis.ai