No App. No Signal. Just real-time identification — built directly into the optic, the instant a bird enters view.
We embed a trained neural network directly inside consumer optics, so identification happens on the device, in the field, the instant a bird enters view — fully offline, anywhere from a backyard feeder to a remote trail. No app to open. No signal to find. No moment lost.
The model runs on embedded hardware inside the optic. No cloud, no subscription, no lag.
Trained on degraded, real-world imagery — motion blur, low light, partial cover — not studio photos.
For the 45 million people who already carry optics into the field every weekend.
Footage from the BirdEye prototype — camera to identification, in real time.
Demo Video Coming Soon
Company formed. Neural model trained on 555 North American species with field-condition hardening. Prototype hardware specified.
Embedded build on Raspberry Pi platform — live camera, on-device inference, in-view display. First field identifications.
Limited units to real birders. Every captured frame sharpens the model — proprietary data no competitor can replicate.
Purpose-built optics with integrated compute and in-eyepiece display. Coverage expanded toward full North American range.
Waitlist members get early access, founding-bird pricing, and a seat in the field beta.
No spam. Launch updates and beta invitations only.