Labs
Research that feeds production.
Labs exist to reduce uncertainty: measure, prototype, validate, then ship. Experimental work is documented and translated into deployable constraints.
Systems validation
Bench rigs, reference measurements, and repeatable evaluation pipelines.
Hybrid modes
Exploration of hybrid compute paths with practical error budgets and observability.
Programs
- Measurement & calibration workflows
- Photonic / electronic integration experiments
- Control and routing prototypes
- Artifact formats and diagnostics
Publishing
- Public notes when safe to share
- Reproducible experiment metadata
- Design reviews that become documentation
- Clear boundaries between research and product
Minimal surface. Deep truth.
The lab output is not hype — it’s constraint tightening, instrumentation, and measurable capability.
Explore
Deeper pages for architecture, products, and programs.