Continuous synthesis for long-running research projects.
A research team — strategy, investigative journalism, internal insights — runs projects that span months and hundreds of sources. The risk isn't finding material; it's that the team's collective reading lives in scattered docs, DMs, and individual browsers, and the thesis has to be reconstructed from memory at the end. Pith gives the project a shared reading memory: everyone bookmarks into the workspace, the wiki builds itself across all of it, and every claim stays cited. Six months in, the thesis is searchable — not a reconstruction.
What changes for you
Scenario 1
Keep a six-month investigation coherent
Across a long investigation, three researchers save 200+ sources. Pith builds a shared concept wiki from all of it — people, entities, events — cited back to the original reporting. When it's time to write, the structure is already there and every fact is traceable.
Scenario 2
Onboard a new team member into the project's knowledge
A researcher joining mid-project reads the project wiki, not six months of Slack. The shared reading memory compresses onboarding from weeks to an afternoon.
Scenario 3
Brief stakeholders without re-reading everything
Before a steering update, generate a project briefing from the period's reading — what's new, what shifted, what it means. Text plus audio, sourced, in minutes.
Founder's note
Long research projects fail at the synthesis layer, not the gathering layer. The team reads enough; what's missing is a shared, cited memory that survives across months and people. Pith is that layer — the reading compounds into a thesis instead of evaporating into individual browsers.
FAQ
How does shared reading memory work across a team?
Everyone bookmarks into the same workspace; the wiki builds from the combined corpus and every member sees the same cited concept pages and search.
Is every claim traceable to a source?
Yes — citation-first by design. Each wiki claim links to the bookmark it came from, which matters for journalism and strategy work where provenance is non-negotiable.
Can different projects stay separate?
Use a workspace per project, or client/project tags within a workspace, to scope the wiki, search, and briefings to one project at a time.
How is this different from a shared Notion or Confluence space?
Those require someone to author and maintain the space. Pith's project wiki builds itself from what the team reads — no curation tax, always current.
Where is our data stored?
Frankfurt, Germany — EU-only residency, per-workspace isolation, full export anytime as Markdown or JSON. We do not train models on your content.
Can we query the project knowledge from our AI tools?
Yes — MCP access exposes the project wiki to Claude, Cursor, and claude.ai so the team can ask questions across the corpus with citations.
Related
Last reviewed: 25 May 2026