What PI helps your team do.

PI is built for investigative sense-making: reducing overload, surfacing overlooked connections, working with messy materials, and helping teams change angles without losing the thread.

Reduce missed leads. Increase case clarity.

Less synthesis. More investigating.

Cut the manual reconciliation work that builds up when notes, reports, and media stay scattered across a case.

Use what you actually get.

Handle unstructured, messy material without forcing a new evidence-prep routine just to get started.

Change angles without losing the thread.

Revisit timelines, people, places, and events while staying grounded in where each detail came from.

Backed by source-linked answers.

Simplifying complex multi-source investigations.

Built around the case picture.

Bring in what you already have

Work with documents, audio, images, and notes without forcing a new prep process.

Keep people, events, and timelines coherent

Maintain context across many sources so the story stays understandable as new material arrives.

Surface contradictions and missing pieces

Identify conflicts worth re-checking and gaps that can sharpen the next best actions.

Stay anchored to source materials

Keep key facts and connections tied to the original materials they came from.

Support briefs and case preparation

Draft clearer notes and summaries for review, while keeping human judgment in the loop.

Coordinate across teams

Share a consistent case picture so handoffs do not reset understanding.

Beyond storage and search.

Many tools help you store evidence or find a document. The hard part is the ongoing sense-making: reconciling what is new, what conflicts, what connects, and what is still unknown.

PI focuses on:
  • Keeping the case picture coherent as new materials arrive.
  • Reducing manual synthesis across scattered sources.
  • Helping teams interrogate what the evidence suggests.

See Proxim Intelligence in action.

Request a demo and we will walk through how PI helps investigators reason clearly through complex cases.