Our model learns in real environments through consent-based, privacy-first partnerships with operators around the world, then returns to our Silicon Valley lab to grow smarter with every cycle.
A soft, chest mounted pod is designed to record the workspace, not the person. Incidental faces are blurred on device and audio is not continuously captured.
An illustrative first-person view of the hands at work. With consent, these frames contribute to the task datasets used to train the model.
Every night, clips from around the world pass through the network. Weights shift, loss drops, and the model wakes up smarter.
Watch a quick overview of how EggieNet collects and processes real-world data from partner sites.
Compensation terms, payment schedules, and program availability may vary by location and are subject to the terms of each individual partnership agreement.
Real examples of the everyday tasks our partners record, hands at work, captured from a first-person perspective.
With the consent of participating operators and workers, each recorded shift helps our model learn to handle the diversity of real environments. Site locations shown are illustrative.
All site locations, data streams, and operational figures displayed on this map are for illustrative and informational purposes only. Actual network coverage, partner locations, and performance metrics may differ. Nothing on this page constitutes a guarantee of service availability or specific outcomes.
The model is shaped around three research pillars, dexterity, controllability, and whole-body coordination. It is trained on real task data that participants have chosen to share with us, not synthetic stand-ins.
Before any recording begins, we work with your HR and legal teams on signage, written worker notices, and an opt-in consent process, aligned to local labor and privacy law.
Cameras point downward at the hands and workspace. By design they are not intended to capture faces or continuous audio, and workers may pause recording at any time.
No faces, no personal data, no phone screens, no confidential documents. On device processing blurs incidental faces before upload. Data is encrypted in transit and at rest, and handled under our published privacy policy and data processing agreement.
Partners receive a monthly data-licensing payment per eligible recorded hour, review a transparent dashboard, and may cancel with notice as described in the partnership agreement.
No faces, no personal data, no phone screens, no confidential documents. Our cameras are engineered to record the task, not the person. Incidental faces are blurred on device, audio is not continuously captured, and data is encrypted in transit and at rest.
Workers are informed in writing before any program starts, participate on an opt-in basis, and may withdraw at any time. Our partnership and data terms are shared up front, not buried in fine print.
Our team includes alumni and researchers from leading robotics and AI labs. We design our programs to align with applicable U.S., Mexican, and international data-protection frameworks.
Company
We are a passionate team of innovators based in Silicon Valley, driven by curiosity and united by a shared mission to build the future. With diverse expertise and sharp minds, we thrive on solving complex challenges, creating impactful technology, and enjoying every step of the journey together.
Tell us about your business and how you'd like to collaborate. Our team will get back to you shortly.