Product lab
The lab prioritizes narrow problems where local inference, controlled capture, and customer-held data may create a real advantage.
Research posture
Concepts are compared across customer pain, buyer clarity, sensing feasibility, data access, edge advantage, regulatory burden, support, and a credible path to validation.
No concept becomes mature because it has a detailed design or an active repository. Optical studies, representative data, partner access, workflow observation, and paid pilots remain separate evidence.
Selected directions
Initial concepts keep operators responsible for consequential decisions and avoid claims that the available sensing cannot support.
Operator-assisted inspection for cutting-tool wear and damage.
A constrained industrial workstation concept combining keyed fixtures, controlled illumination, calibrated imaging, compact segmentation or classification models, and operator-reviewed evidence. Commercial, optical, and process validation remain future gates.
Local particle-screening support for controlled industrial workflows.
A benchtop concept for repeatable image capture, calibrated measurement, assisted review, and local evidence reporting around established sample-preparation workflows. Optical feasibility and metrology validation are explicit prerequisites.
On-site comparison of controlled print and packaging features.
A local inspection concept for approved references, controlled capture recipes, anomaly detection, and auditable operator decisions in print and packaging quality workflows. Access to authorized references and representative defects is a deliberate go/no-go gate.
Power-aware sensing with local gateways for disconnected places.
A software-backed research design for low-power field nodes that wake briefly, collect compact telemetry, and return to sleep while a local gateway handles storage, rules, and heavier inference. Synthetic decoder and state-flow prototypes exist; hardware and solar validation remain pending.
Reusable platform
Capture quality, device identity, inference brokering, evidence packaging, signed delivery, health monitoring, and rollback can be reused. Fixtures, labels, thresholds, references, validation, and claims remain specific to each product.
Start with the constraint
The best first engagement may be a feasibility gate that prevents a larger build—not a promise to force AI into the process.
