Your digital chips are choking on data. Let us run it through light.
We're building a co-processor that replaces GPU compute with optics. To calibrate our physics engine, we need real-world sensor data from engineers who are hitting the edge AI power wall every day.
See What You GetWhat's In It For You
Share data. Get an unfair advantage.
This isn't a one-way ask. Every dataset you contribute directly accelerates your access to hardware that doesn't exist yet.
Priority V1 Dev Kit Access
Jump the queue. Data partners are first in line when the Solphio Edge V1 development kit ships.
Free Simulation Report
Receive a bespoke report showing exactly how much battery life, latency, and cost our optical filter saves on your specific platform.
Co-Design Influence
Your use-case directly shapes our hardware. Early partners get input on the disc format, interface specs, and integration SDK.
Named Acknowledgement
With your permission, your company is credited as a founding validation partner in our public roadmap and investor materials.
What We Need
We are looking for very specific data.
We aren't running ML training. We're validating a physics engine. That means we need raw, rich, real-world sensor data — the messier, the better.
Hyperspectral Logs
50 GB+ of raw, uncompressed hyperspectral imaging data. Ideally from agricultural or environmental remote sensing platforms (drone or ground-based).
Vibration Waveforms
High-frequency vibration sensor data with known fault states. Industrial predictive maintenance datasets from rotating machinery, motors, or factory equipment.
Ideal Dataset Profile
- Raw, uncompressed formats (HDF5, ENVI, WAV, CSV)
- Minimum 50 GB per dataset contribution
- Labelled fault states or known ground-truth classes
- Acquisition metadata (sensor model, sample rate, environment)
- Real-world conditions, not synthetic benchmarks
Apply Now
Tell us what you are drowning in.
Fill in the form below. We'll review your submission and respond within 48 hours with next steps and a mutual NDA.
Mutual NDA Protection
All submitted data is used strictly for physics validation within our Digital Twin simulation engine. Every partnership is covered by a mutual Non-Disclosure Agreement executed before any data transfer takes place. Your data never leaves our secure, air-gapped simulation environment.