Harvest selectively
Recognize ripeness, choose a grasp, preserve the fruit.
Data infrastructure
for the living world.
We’re building multimodal training data for AI
to understand and operate in biological environments.
Living systems
never stand still.
Growth, behaviour and changing conditions shape every interaction. Understanding them takes more than a snapshot.
Capture what an expert sees.
What they see, what they infer, and what they do. In one connected record.
Greenhouse / Tomato inspection00:00 / 00:10
Expert reasoning
“Yellowing could be stress.”
Expert audio: Yellowing could be stress. Whiteflies underneath. Feeding damage is possible. I’ll compare with the last inspection. The species is a candidate; the comparison and later outcome are pending.
For machines working
where life happens.
The capabilities this data could support.
Assess reef health
Connect species, condition and change over time.
Investigate plant stress
Link visible symptoms to expert hypotheses and next actions.
Interpret animal behaviour
Understand movement and interaction in context.
Monitor fish health
Connect feeding, schooling and environmental conditions.
Read forest change
Follow growth, disturbance and recovery.
Navigate living environments
Respond to vegetation, terrain and moving organisms.
The next generation of AI
will need to understand
life itself.
Tell us what your model needs to learn.
Help shape the data it learns from.