Know what matters. Skip what doesn't.
SILKLEARN reads across all your sources, figures out what depends on what, and flags where things disagree. You get the structure, the conflicts, and the full picture — without the manual synthesis work.
What you actually get.
Not features. Outcomes. SILKLEARN does the synthesis work so you don't have to — surfacing structure, surfacing conflict, surfacing the full picture.
Find the foundation
Drop in any source — PDF, Markdown, DOCX, plain text. SILKLEARN reads across everything and surfaces the structure — what connects, what builds on what, and what's missing.
Catch conflicts early
When sources disagree, the system flags it before you build on the wrong assumption. No more discovering contradictions after you've already committed.
See the full picture
Browse everything your sources say, how they connect, and where they diverge. One view, no context-switching between 20 tabs.
Use it your way
See the structure. Inspect the contradictions. Feed context to your AI. Share with your team. The structure is yours to work with however you need.
Feature deep-dives
How it works.
Three steps. Structure first, every time.
Add your sources
PDFs, Markdown, DOCX, plain text. Drop them in as-is.
The engine compiles the structure
Dependencies mapped, contradictions preserved, gaps named — every claim source-anchored.
Share it your way
Private, with your team, or a public read-only link. Your understanding, your call.
Who it's for.
Engineering teams
Onboard new members faster. See the structure of your architecture docs and runbooks — dependencies mapped, gaps named.
Researchers
Synthesize across conflicting papers. Surface contradictions before you build on the wrong finding.
AI developers
Give your agents structured context, not retrieval guesses. Clean, source-grounded knowledge — MCP integration ships soon.
Next step