Visual inspection on a packaging line
- Target
- Manufacturing
- Problem
- Defects caught only by manual sampling.
- Approach
- Cameras and a defect-detection model running at line speed.
- Deliverable
- Real-time alerts and a defect dashboard.
Business Applications & Scientific Engineering Systems
We partner with laboratories, research teams and R&D departments to turn complex scientific questions into validated models, simulations and research software. From the bench to the cluster, built to the standards of science.
Hover a star to read about a service. Select it to see how it works.
A rolling mean and standard deviation (EWMA) flag every point whose z-score exceeds the threshold. Pick a fault, then click or drag on the signal to inject it.
Hover a planet to slow it down. Select it for use cases.
Hover a star to read about a service. Select it to see how it works.
A 2 → 8 → 8 → 2 perceptron trains in your browser by stochastic gradient descent on two interleaved spirals. Click the left panel to add points and watch it adapt.
Hover a planet to slow it down. Select it for use cases.
Scroll to follow the comet through each step.
A scoping call and a review of your data. We tell you honestly whether AI is the right tool.
A working proof of concept on your real data, fast.
Success metrics agreed upfront, measured on data the model has never seen.
Integrated into your systems, documented, handed over to your team.
Monitoring, retraining and improvements as your data evolves.
Four illustrative scenarios of the problems we take on. These are examples of the work we do, not client case studies.
BASES Technologies was founded in Texas to bring research-grade engineering to businesses, and engineering-grade tools to science. Two divisions, one foundation.
The sky over [FOUNDING_CITY], Texas, on [FOUNDING_DATE].
Sound & voice on