Danish forest at dusk — biodiversity monitoring

Nature embraced

When nature is monitored seriously,
data becomes insight.

Plature builds distributed camera networks and AI-based species recognition — turning them into structured biodiversity data for biologists, land managers, researchers and hunters.

Use cases

A data foundation
used in the field.

Plature is used in biodiversity work, conflict management, ecological restoration and documentation around major infrastructure projects.

01

Biodiversity

Species occurrence and trends over time — continuous documentation of the state of nature.

02

Conflict & risk

Monitoring of wolves near urban zones, invasive species and damage to game or crops.

03

Restoration & rewilding

Baseline and before/after documentation of species activity in project areas.

04

Infrastructure

Fauna passages, roads, wind and solar projects — continuous environmental documentation.

05

Invasive species

Early indication of unwanted species and their spread in selected areas.

06

Area-based insight

Aggregation per municipality, project area or grid — ready for analysis and reporting.

By the numbers

A growing data set on Danish nature.

20M+
Images processed
75,000
New images / day
Realtime
Continuous data collection
API
Standardised data access

Primarily Danish coverage, with supplementary trail-camera networks in Sweden.

From field to research

Nature,
continuously measured.

Thousands of trail cameras continuously deliver imagery from Danish nature. Plature's AI pipeline classifies species, georeferences observations and aggregates them into biodiversity data and fauna time series — ready for biologists, municipalities, agencies, NGOs and research projects.

  • Raw imagery → AI species identification
  • Timestamp + GPS → structured observations
  • Aggregation per area → fauna time series
  • Export via API → research and management

Get started

Let's talk about your area.

Consortia, municipalities, research projects or the individual manager — we design a solution that fits the scale.