The Soverion Wild Platform

Landscape Intelligence

Field data to decisions — not another dashboard.

A decision-intelligence layer that unifies your operational field data with global biodiversity, earth-observation, effectiveness, and sensing data into one defensible engine — so managers act on evidence, not fragments.

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protected & conserved areas already run on the proven field systems this connects to
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countries where those field systems operate
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independent signal layers unified into one picture
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decision engine that turns it into action

The Decision Gap

The reality on the ground | Most conservation teams aren’t short on data — they’re short on decisions. Field systems, global datasets, and satellites each hold part of the picture, and none of them share it.

  • Fragmented signal — Patrols, biodiversity records, and satellite alerts live in separate tools that never reconcile.
  • Context blind spots — Field data has no line of sight to global reference data on species, threats, and priority areas.
  • Slow field-to-decision loop — By the time analysis lands, the operational window has already closed.
  • No defensible basis — Resource and funding calls rest on instinct, not an auditable record managers and funders can trust.

One Intelligence Layer, Four Tiers

Data rises  ↑  from field sources to decisions
Tier 04Decisioning & OutputsConsume · Deliver
Threat response and patrol tasking, resource allocation, landscape prioritization across priority areas, and funder- & disclosure-ready reporting. The reason the stack exists.
Tier 03Intelligence Layer◆ Soverion Wild builds this
Decision Boards & Decision Technology. The whitespace no platform fills today — it reconciles your operational data against global reference and earth-observation context, then turns it into a defensible, auditable decision.
Tier 02Integration & Data FabricBuild once
Five different access models — owned operational data, subscription reference APIs, open APIs, earth-observation indicators, and AI GeoAgents — normalized into one geospatial model keyed on site, species, threat, and priority area.
Tier 01Source PlatformsConsume
Six independent signal layers — field operations, effectiveness, reference biodiversity, earth observation, automated sensing, and nature finance. None of it needs building; it already exists — our job is to connect it.
Build — Soverion Wild proprietary Consume — existing platform ★ Standards most programs already run: SMART · METT · CEPF

The Six Signal Layers

Everything at this tier already exists — we connect it, we don’t rebuild it. ★ marks the standards most programs already run; flagged layers are the gaps we close first.

01

Field Operations

  • SMART — patrol & threat logging
  • EarthRanger — real-time sensor fusion
  • SERCA — SMART + EarthRanger merged (Oct 2025); build toward this
  • CyberTracker — offline capture
The real-time operational plane.
02

Management Effectiveness

  • METT — self-assessment standard
  • IMET — deeper diagnostic
  • IUCN Green List — certification tier
  • DOPA · BIOPAMA — EO-derived PA indicators
Effectiveness context — self-reported plus satellite.
03

Reference Biodiversity

  • IBAT — Red List · WDPA · WDKBA, one API + STAR
  • GBIF — species occurrence, open
  • Protected Planet — WDPA source
  • CEPF — hotspot / KBA profiles
The most common gap — IBAT is the cleanest single entry point.
04

Earth Observation

  • Global Forest Watch — GLAD deforestation alerts
  • Global Nature Watch — AI GeoAgent (2025)
  • Google Earth Engine — compute substrate
  • Sentinel · Landsat — raw imagery feeds
Missing entirely — change detection & early warning.
05

Automated Sensing

  • Wildlife Insights — camera-trap AI
  • Wildbook / Wild Me — individual ID
  • Arbimon · RFCx — bioacoustics
  • MegaDetector — open model, build option
Missing — population & species-level signal.
06

Nature Finance & Risk

  • STAR + TNFD — via IBAT
  • ENCORE — nature dependencies
  • WWF Biodiversity Risk Filter
Optional — engage for funder & disclosure framing.

A Structured Path — a Checkpoint at Every Phase

No open-ended discovery, no surprises. Each phase has a measurable checkpoint before the next begins.

01
Assess
2–4 weeks

Field & data baseline: where sensing, connectivity, and data actually stand — and which signal layers are missing.

02
Integrate
The fabric

Stand up the data fabric: connect SERCA, IBAT, and the open feeds into one normalized geospatial model.

03
Build
Decision Boards

Configure the intelligence layer — synthesis, prioritization, and defensible decision records tied to your sites.

04
Operate
Transfer & sustain

Embed the operating rhythm, hand over ownership, and produce funder- and disclosure-ready reporting on repeat.

Put Intelligence Behind Every Decision

Tell us what you’re protecting, and we’ll propose a practical next step — assessment, pilot, or full build. We respond within 1–2 business days with a short intake and a recommended path forward.

Three Ways to Engage the Platform

Landscape Intelligence Readiness

A prioritized roadmap that maps your six signal layers, flags the gaps, and scopes the fastest path to a working decision layer.

  • Signal-Layer MapWhich of the six layers you have, and which are missing.
  • Integration BlueprintThe cleanest API path to unify SERCA, IBAT, and EO feeds.
  • Prioritized RoadmapHighest-value moves, sequenced and scoped to your sites.