Nature Technology

Custom Tools & Integrations

Custom AI models, data pipelines and integrations that extend NatureCube for your programme.

Overview

Custom AI is useful when ecological datasets are too large or too repetitive for manual review alone. The model has to be built around the question and the data you hold, and scientists have to be able to check the output before it is treated as evidence.

Custom AI Solutions

How we approach it

We start with the decision the model is meant to speed up: species labels on camera traps, calls in a recording, or a class on a satellite tile. Training, testing and error rates are documented. The workflow includes a review step so an ecologist can correct the machine and those corrections can improve the next run.

What we deliver

  • Problem framing against the ecological question, not a generic model
  • Model development and evaluation on your imagery, audio or spatial data
  • A review workflow so experts can accept, reject and correct automated results
  • Documentation of performance, failure cases and how results should be used
  • Integration into the tool your team already uses, where that is practical
  • A handover so the model is not a black box only one person understands
Herd of elephants in grassland

What you receive

You receive a working analysis path, a plain statement of how well it performs, and a way for your scientists to stay in control of the result.

When you need it

Use this when cameras, acoustics or other sensors are producing more data than a team can review, and the result still has to be scientifically defensible.