Sensibee is built on visual monitoring because sight is how species are actually told apart: body shape, wing pattern, colour and markings. Its solar-powered stations photograph visiting pollinators and send the images to cloud AI for species-level identification — no specialist on site, nothing killed, and a permanent, reviewable image record behind every observation.
Why images win for pollinators
- Direct evidence — every identification traces back to a photograph you can check.
- Non-lethal — insects are imaged and released to keep foraging, not collected.
- Continuous — the same station images the same site day after day, building comparable time series.
- Scalable — cloud AI reviews far more visits than any manual survey could.
From visit to data point
A standardized lure draws pollinators to the station; the camera captures each visitor in high resolution; cloud AI detects the insect, identifies the species, and updates live dashboards with abundance and diversity. What reaches the land manager isn't a folder of images to sort later — it's a current read on what's flying, and how that's changing.
Sensibee focuses on getting this one thing right at scale. That focus is what makes the data dependable enough to act on — and to stand up in Biodiversity Net Gain, ELMS and farm audits.
See Sensibee's visual monitoring →
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