Rastrum Rastrum

Identify any living thing — anywhere

Rastrum exists to make every living thing identifiable by anyone, anywhere — even without cell signal, even without formal training, even in the languages that field guides forgot.

How It Works

1

Observe

Capture photos, audio, or video of any species in the field — online or offline.

2

Identify

Our AI pipeline analyzes your evidence using PlantNet, BirdNET, and Claude Vision with regional accuracy.

3

Contribute

Validated observations join a growing open dataset exported to GBIF and CONABIO for real conservation.

Why Rastrum

Offline-First

Works without cell signal. Regional ML models cached on-device via ONNX + WebAssembly.

Multi-Modal ID

Photo, audio, video, and ecological evidence — tracks, scat, burrows — all in one platform.

Indigenous Languages

Zapoteco, Mixteco, Náhuatl, Maya, Tsotsil/Tseltal. Built with CARE principles and community consent.

LATAM-Focused

Trained on megadiverse Neotropical data, not just North American and European species.

Open Source

AGPL-3.0 server, Apache 2.0 SDKs. Every observation strengthens the commons.

Conservation Pipeline

Direct exports to GBIF, CONABIO, CONANP, and regional herbaria across Latin America.

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