Knogin

The Investigation That Should Never Have Failed - This is modern investigation management. And it's failing investigators every day.

2:47 AM|Detective Bureau

Records Management
Case #2024-0847 - Burglary
Status: ACTIVE
Entry: Rear door forced
Evidence Database
EV-001 | Latent print
EV-002 | Footage 4.2GB
⚠️ Last access: 72hrs
Interview Tracking
Interview Tracker
Johnson | Scheduled
Rodriguez | Pending
Prosecutor Thread
RE: Need timeline ASAP
"Judge asking for clear
timeline by Friday"
Surveillance Footage
📁 Surveillance/
cam01.mp4 (loading...)
⚠️ Sync incomplete
Legacy Cases
[LEGACY - READONLY]
#2021-2341 - Same MO?
Cross-ref unavailable
Partner Updates
"Got another witness.
Same entry pattern."
[2:41 AM]
This is modern investigation management

The Investigation That Should Never Have Failed

This is modern investigation management. And it's failing investigators every day.

The Hidden Cost

The Hidden Cost of Fragmented Systems

Investigators across the country face the same reality: sophisticated criminal operations, overwhelming data volumes, and technology infrastructure designed for a different era.

When Systems Fail, Cases Collapse

"I can't tell you how many family functions, birthdays, and holidays I missed due to working past the end of my shift to complete reports."

, 20-year veteran investigator

Samuel Little

60+ victims across 35 years and 37 cities, unconnected until 2018

Dallas PD 2021

Murder suspect released when case files deleted one day before trial

78% report negative investigation impacts including prolonged investigations, low morale, and insufficient evidence for prosecution.

These aren't edge cases. They're the inevitable result of systems never designed to work together.

What Investigation Management Should Actually Be

The Argus Investigation Management Module was designed by asking a different question: What if investigators could focus entirely on solving crimes, with technology that anticipates their needs rather than creating new obstacles?

The answer required reimagining every assumption about how investigation platforms should work.

Centralized Command

A unified workspace for managing investigations from initial lead through case closure

Relationship Intelligence

Automatic discovery and visualization of connections between entities

Seamless Collaboration

Real-time multi-investigator collaboration eliminating version control nightmares

AI Amplification

AI that continuously analyzes evidence and flags potential connections

Human judgment remains paramount. Every AI recommendation includes supporting evidence for investigator review. The system amplifies investigative expertise rather than attempting to replace it.

Core Capabilities

Capabilities That Transform Investigative Outcomes

Every feature designed around how investigators actually work, not how software developers think they should work.

Case Lifecycle Management

From lead to closure

Track investigations through every stage, from draft through active investigation, review, completion, and archival, with automated status tracking and milestone management.

Status workflowsRole-based accessExport capabilities+2 more

The system accommodates the reality that investigations rarely follow linear paths. Cases can move backward when new evidence emerges. Multiple investigators can own different aspects.

Technical Details

Color-coded status workflows with configurable state machine, role-based permissions at field level, court-ready export in multiple formats

Example Use Case

A complex fraud investigation spans 18 months with three lead investigators. The system tracks all handoffs, preserving context and preventing information loss.

Interactive Timeline Construction

See patterns through time

Build chronological event timelines with automatic correlation of evidence, witness statements, and intelligence. Reveal patterns visible only when events align temporally.

Auto-correlationEvidence linkingRICO support+2 more

Timeline construction that traditionally requires weeks of manual work happens in hours. RICO case building becomes manageable. Cold case review identifies the moments where investigation should have proceeded differently.

Technical Details

Event-driven timeline with drag-drop placement, automatic evidence timestamping, contradiction detection algorithms

Example Use Case

A narcotics conspiracy spanning 24 months becomes visible as a clear pattern when timeline auto-correlates surveillance with financial transactions.

Evidence Chain Integration

Unbroken custody, guaranteed

Maintain unbroken evidence links with cryptographic verification and automated chain-of-custody tracking. Every access logged. Every modification recorded.

Cryptographic hashingAccess loggingHash verification+2 more

Integration with the Argus Evidence Management System provides end-to-end provenance. Evidence links to investigations automatically. Courtroom challenges to evidence handling become straightforward to rebut.

Technical Details

SHA-256 hash verification, immutable audit log with timestamps, automatic disclosure packet generation for prosecution handoff

Example Use Case

Defense counsel challenges evidence handling. The system produces a complete audit trail from collection through presentation in seconds.

Task Assignment and Workflow

Nothing falls through the cracks

Coordinate investigative actions across teams with automated task tracking and progress monitoring. Assignment flows to the right person. Due date tracking prevents dropped balls.

Smart assignmentDue date alertsProgress visualization+2 more

Supervisors maintain oversight without micromanagement. Workflow metrics reveal which cases need attention. Training needs become visible through performance patterns.

Technical Details

Kanban and list views, automatic escalation rules, workload heat maps, configurable notification triggers

Example Use Case

A serial case generates 47 tasks across 8 investigators. The supervisor sees real-time progress without requiring status meetings.

Cross-Case Pattern Recognition

Connections that reveal themselves

Automated alerts surface when the system identifies identical patterns, specific entry methods, target selection, timing, financial transaction structures, across different investigations.

MO matchingGeographic clusteringFinancial patterns+2 more

This capability addresses the fundamental failure mode that allowed serial offenders to operate for decades across jurisdictions. When a new burglary matches the modus operandi of cases in neighboring counties, investigators know immediately.

Technical Details

Machine learning pattern matching across case attributes, configurable similarity thresholds, cross-jurisdictional query federation

Example Use Case

A new burglary matches 4 unsolved cases from 2 other departments. The connection surfaces in seconds, not months.

Cold Case Breakthrough Potential

New evidence, old cases

When reopening cases with new evidence, DNA matches, witness information, forensic re-analysis, the system automatically cross-references against all other investigations in the database.

DNA linkageHistorical searchPattern inheritance+2 more

The same pattern recognition that identifies active serial offenders applies to historical data. Cases that seemed unrelated reveal common perpetrators.

Technical Details

Full-text and entity search across archived cases, automatic relationship inference from new evidence, visual timeline reconstruction

Example Use Case

A DNA match connects a 1998 murder to a suspect now in custody. The system immediately identifies 3 other potentially linked cases.

Relationship Intelligence

See Connections Others Miss

WebGL-powered visualization renders up to 10,000 entities simultaneously at 60 frames per second. Complex criminal networks become comprehensible at a glance.

100%
Person
Organization
Location
Evidence
Click a node to see details. Drag to reposition.

Community Detection

Automated identification of organizational tiers and leadership structures using graph clustering algorithms

Path Analysis

Discover how entities connect through multiple intermediaries with shortest-path and all-paths analysis

Temporal Analysis

See how networks evolve over time as new evidence emerges and relationships change

Real Transformations

Investigations Transformed

See how Argus Investigation Management changes outcomes across common investigative scenarios.

Scenario

Dismantling a Multi-County Narcotics Operation

A detective investigating drug distribution notices transaction patterns suggesting a larger network. Using the relationship graph, she maps connections from street-level dealers through mid-level distributors to potential suppliers across three counties. Community detection automatically identifies organizational tiers.

See the transformation with Argus

Traditional Approach

  • -

    Investigation timeline

    8 months

  • -

    Organizational mapping

    Partial hierarchy understanding

  • -

    Multi-agency coordination

    Weekly briefings

  • -

    Prosecution package

    Weeks of compilation

With Argus

  • Investigation timeline

    3 months

  • Organizational mapping

    Complete hierarchy identified

  • Multi-agency coordination

    Real-time visibility

  • Prosecution package

    Court-ready immediately

Technical Architecture

Built for Mission-Critical Operations

Modern cloud-native design delivers enterprise reliability with edge performance.

Global edge deployment with sub-50ms response times. Investigators access critical case information instantly regardless of location.

150+ edge locations<50ms latencyAutomatic failover

Flexible query interface with third-party integration support. CAD integration brings incident data. RMS connections synchronize records.

Type-safe queriesReal-time subscriptionsBackward compatible

Real-time multi-user presence and conflict resolution. Changes propagate instantly to all connected clients.

Live presenceConflict resolutionOffline support

Purpose-built relationship database for connection analysis. Path-finding and community detection are native operations.

10K+ entitiesPath findingCommunity detection

Enterprise-grade relational storage for case records with full-text search and comprehensive audit logging.

ACID complianceFull-text searchAudit logging

Comprehensive encryption and access control aligned with federal requirements. Multi-factor authentication supports CJIS 6.0 mandates. Each tenant prepared for independent certification.

AES-256 encryptionMFA requiredRole-based access

Edge-Native Performance

Deploy globally with sub-50ms response times from any location. No on-premise infrastructure required.

Graph-First Design

Neo4j graph database powers relationship analysis that relational databases cannot efficiently perform.

Compliance by Design

CJIS Security Policy and FedRAMP requirements built into architecture, not bolted on afterward. Each tenant ready for independent certification.

Ecosystem

Integration Across the Argus Ecosystem

Investigation Management serves as the central hub connecting all Argus modules.

Investigation Management

Hover over an integration to see details

Proven Results

Why Investigators Choose Argus

Quantified outcomes from agencies using Argus Investigation Management.

0%

Reduction in Case Build Time

Automated evidence correlation and AI-powered analysis eliminate hours of manual work

0%

Faster Pattern Recognition

Connections across cases surface in seconds rather than weeks

0%

Real-Time Visibility

All investigators see current information instantly

0

Disputed Evidence Chains

Cryptographic verification prevents courtroom challenges

0%

Investigator Satisfaction

Technology that helps rather than hinders

By automating tedious administrative tasks and providing powerful analytical tools, Investigation Management reduces burnout. Investigators spend time on the work they trained for, solving crimes and protecting communities.

Ready to Transform Your Investigations?

See how Argus Investigation Management can reduce case build time by 30% while strengthening evidence integrity.