Doria · Field Intelligence Module 01

Poaching &
Wildlife Crime

Doria equips rangers and conservation officers with structured, geo-tagged field reporting — turning isolated incident observations into a continent-wide intelligence picture on wildlife crime across Sub-Saharan Africa.

© Doria 2026 royalesirandula@gmail.com Scroll for data ↓
Overview Statistics How Doria Responds The Crisis Report Lifecycle 02
Introduction
30K
large mammals poached annually across sub-Saharan Africa
96%
of wildlife crime incidents go unreported without digital reporting tools
$23B
estimated annual value of the global illegal wildlife trade

Wildlife poaching is one of the most severe and persistent threats to conservation across Sub-Saharan Africa. Each year, tens of thousands of animals are lost to illegal hunting — driven by international demand for ivory, bushmeat, skins, and live exotic species. Protected areas are vast and chronically under-resourced, with rangers covering territories of thousands of square kilometres with minimal connectivity and no standardised reporting tools.

Doria's Field Reporting module gives rangers a structured, geo-tagged system to document every incident in real time — from snare discoveries and elephant carcasses to live trade operations. Each submission is time-stamped, photographed, and automatically routed to wardens and law enforcement through a tamper-evident chain of custody. Over time, aggregated data reveals poaching hotspots, seasonal corridors, and repeat offender patterns — turning fragmented field notes into operational intelligence.

* Incident figures based on CITES, WWF, and IUCN tracking data, cross-referenced with Doria's field-verified submissions database.
• How Doria Responds

Four pillars of field intelligence
against wildlife crime

←
→
📍
Geo-Tagged Incident Logging
Rangers use GPS-enabled forms to pin exact coordinates to every sighting, snare, carcass, or confrontation. Every report is time-stamped and audit-ready for enforcement action.
Incident Logging
🔗
Evidence Chain of Custody
Photo attachments, witness tags, and digital signatures maintain an unbroken evidence chain — every report is prosecution-ready from the moment it is submitted.
Evidence Chain
🗺️
Hotspot & Pattern Analysis
Historical incident data feeds into heatmaps identifying high-risk zones, seasonal poaching corridors, and repeat offender patterns — giving wardens predictive intelligence.
Pattern Analysis
📡
Rapid Warden Alerts
Submitted reports instantly notify on-duty wardens and enforcement units with location, severity, and recommended response protocol — compressing reaction time to minutes.
Warden Alerts
The Crisis

Critical
Vulnerabilities

Swipe to explore the four vulnerabilities →

Operational Latency
Failed deployment & waste
Conflict & System Gaps
HWC & partial adopters
01
Anti-Poaching Response Latency
The core problem is not a lack of rangers, it is the catastrophic delay between a sighting and response (2–6 hours on VHF). By the time deployment happens, poachers have moved 30–80km. In Selous, this latency drove an 87% elephant decline, proving fragmented patrol logs are effectively "blind."
02
Blind Deployments & Budget Waste
Reserves rely heavily on paper logs. Studies show 40–60% of anti-poaching hours occur in zero-incident zones. Aviation grids run $500–$1,200 per flight hour; when deployed randomly rather than mapped via intelligence, financial waste exceeds $500,000 per season.
03
Human-Wildlife Conflict Failures
HWC causes 300+ deaths in Kenya annually and costs $1.4B in livestock losses across Africa. 75% of HWC incidents occur in predictable movement zones, but lacking a real-time system, interventions are delayed 24–72 hours by manual GIS analysis.
04
The System Gap in Partial Adopters
Even with digital tools, users face "Alert Fatigue" from unscored data, GIS bottlenecks, and deep-bush offline dead zones. Doria closes this by grading, surfacing, and spatially analyzing data fast enough to shift the asymmetry back to the conservationist.
01
Anti-Poaching Response Latency
The core problem is not a lack of rangers, it is the catastrophic delay between a sighting and response (2–6 hours on VHF). By the time deployment happens, poachers have moved 30–80km. In Selous, this latency drove an 87% elephant decline, proving fragmented patrol logs are effectively "blind."
02
Blind Deployments & Budget Waste
Reserves rely heavily on paper logs. Studies show 40–60% of anti-poaching hours occur in zero-incident zones. Aviation grids run $500–$1,200 per flight hour; when deployed randomly rather than mapped via intelligence, financial waste exceeds $500,000 per season.
↗
03
Human-Wildlife Conflict Failures
HWC causes 300+ deaths in Kenya annually and costs $1.4B in livestock losses across Africa. 75% of HWC incidents occur in predictable movement zones, but lacking a real-time system, interventions are delayed 24–72 hours by manual GIS analysis.
04
The System Gap in Partial Adopters
Even with digital tools, users face "Alert Fatigue" from unscored data, GIS bottlenecks, and deep-bush offline dead zones. Doria closes this by grading, surfacing, and spatially analyzing data fast enough to shift the asymmetry back to the conservationist.
How it Works

The Report
Lifecycle

Swipe to explore the report lifecycle →

Collection & Validation
Ground flow to AI core
Action & Legacy
Tactical loop to research
01
Multi-Tier Field Submission
Rangers log complex tactical data offline via the app, while community members use simplified touchpoints. Both streams instantly synchronize to the cloud when connectivity returns, bridging the gap between experts and locals.
02
The Confidence Engine
Reports aren't just dumped into a database. Doria's AI Confidence Engine cross-references photos, GPS coordinates, and reporter history to calculate a "Validity Score," bypassing the queue and flagging critical alerts instantly to commanders.
03
Tactical Response & Collaboration
Analysts ping verified coordinates directly to helicopter pilots, 4x4 units, and ranger bikes. The encrypted live-map thread coordinates an intercept in real-time, compressing reaction time from hours to minutes.
04
Deep Analysis & Case Studies
Rangers execute a deep Site Analysis on the report using their membership ID. Their mapping contributions are approved via version control. Finally, anonymised reports become datasets for university case studies on biome health and HWC patterns.
01
Multi-Tier Field Submission
Rangers log complex tactical data offline via the app, while community members use simplified touchpoints. Both streams instantly synchronize to the cloud when connectivity returns, bridging the gap between experts and locals.
02
The Confidence Engine
Reports aren't just dumped into a database. Doria's AI Confidence Engine cross-references photos, GPS coordinates, and reporter history to calculate a "Validity Score," bypassing the queue and flagging critical alerts instantly to commanders.
↗
03
Tactical Response & Collaboration
Analysts ping verified coordinates directly to helicopter pilots, 4x4 units, and ranger bikes. The encrypted live-map thread coordinates an intercept in real-time, compressing reaction time from hours to minutes.
04
Deep Analysis & Case Studies
Rangers execute a deep Site Analysis on the report using their membership ID. Their mapping contributions are approved via version control. Finally, anonymised reports become datasets for university case studies on biome health and HWC patterns.