Enterprise / Solutions / Investigations & Intelligence

Statements, reports, records, timelines, and financial trails .

Investigative work moves across case files, witness accounts, locations, entities, and external sources. Momor helps teams build the working picture faster without losing the links between them.

Where Momor helps

The case picture builds in one place.

Search across witness statements, reports, evidence logs, and prior files without hopping document to document to find the same name, date, or location again.

Cross-reference claims, events, records, and entities inside the same case context so corroboration, contradiction, and missing support surface earlier.

Build timelines, entity maps, and financial traces from the same working picture instead of reconstructing the narrative from scratch every time a new piece of evidence arrives.

What this changes for the team

Investigators still decide what matters, what escalates, and what needs action. Momor handles the operational load - searching case material, cross-referencing records, surfacing gaps, and keeping the evolving picture together as new evidence comes in.

How it works in practice

Start with case search. Expand into the full picture.

Each capability covers a different step in investigative work. Start with the one that shortens the longest manual review today and add the rest as the workflow proves itself.

CaseFileSearch

Semantic search across case files.

Search across the full case file — witness statements, reports, evidence logs, prior case files — using natural language. 'Which witnesses mentioned a blue vehicle?' instead of keyword search through hundreds of pages.

Example queries
"Which witnesses mentioned a blue vehicle in their statements?"
"Find all references to the 1400 block of Main Street across the case file."
EvidenceCrossRef

Cross-reference evidence across sources.

Given a piece of evidence or a claim, find corroborating or contradicting information across other documents in the case file. Surface connections that would take manual review days to identify.

Example queries
"Does the surveillance footage timeline match the witness statement about the suspect's arrival time?"
"Which financial records corroborate the informant's claim about the March 12 transaction?"
TimelineBuilder

Construct event timelines from scattered data.

Pull dates, times, and events from across the case file and assemble them into a chronological timeline. Identify gaps, overlaps, and inconsistencies in the narrative.

Example queries
"Build a timeline of the subject's movements from March 1 through March 15 based on all available data."
"Map every documented interaction between suspects A and B — phone records, surveillance, and witness statements."
EntityMapper

Map relationships between people, organizations, and events.

Given case data, identify and map connections between individuals, organizations, locations, and events. The kind of link analysis that today happens on a whiteboard.

Example queries
"Map all known connections between the three subjects — shared addresses, phone contacts, financial transactions."
"Who are the common associates between the primary suspect and the shell company officers?"
FinancialTrace

Follow money across records.

Given financial records, trace transactions across accounts, identify patterns, and surface anomalies. For fraud investigations, forensic accounting support, and financial crime analysis.

Example queries
"Trace the $50,000 wire from the originating account through all intermediate accounts to final destination."
"Flag any transactions over $9,000 across all accounts linked to the subject in the last 6 months."
Built into every response

Interventions & Advisories

Momor does not just return findings. When the record conflicts or a gap changes the direction of the case, it flags it - and when the next move depends on investigator judgment, it stops.

Intervention

Pauses where investigator judgment changes the next move.

"Two witness statements reference a vehicle at the scene — one describes it as a dark blue sedan, the other as black. The timeline places them 20 minutes apart and lighting conditions changed. Should I treat these as the same vehicle or flag them as potentially separate?"
"The financial records show a wire transfer that matches the pattern you're tracking, but the account holder's name is slightly different from the subject — could be an alias, could be a different person. Flagging for your determination."
Advisory

Surfaces leads and gaps you were not looking for.

"Timeline constructed. While assembling the chronology, I found a gap — there's no documented activity for the subject between March 3 and March 7. Every other period has multiple data points. This gap may be significant."
"Entity map complete. One of the peripheral entities shares a registered agent with a company from a separate investigation in your case files. This connection wasn't part of your query but may warrant a look."
How deployment works

Start with case material. Expand into the full picture.

You do not deploy every capability at once. The first one shortens the next file review. The rest earn their way in as the workflow proves itself on active cases.

Phase 01

CaseFileSearch

Search across witness statements, reports, and evidence logs in plain language. Immediate value on the next case file.

Phase 02

EvidenceCrossRef + TimelineBuilder

Add corroboration checking and timeline construction so the narrative, conflicts, and gaps stay visible in one working picture.

Phase 03

EntityMapper + FinancialTrace

Extend into relationship mapping and money movement so people, organizations, events, and transactions stay tied to the same case context.

Start with the case that should have been faster.

Show us the file where cross-referencing, timeline work, or financial trace consumed the most time. That is where we start.

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