Case-study scenarios
Representative engineering engagements, designed around real constraints.
Twenty scenario-based case studies showing how Lavaflows would approach embedded validation, enterprise agents, and custom machine learning without inventing client results.
Featured · Jul 27, 2026
Vision-in-the-Loop Regression for an Embedded Display
A representative system that combines camera evidence, device state, and explicit visual rules to validate an embedded interface under real display conditions.
Jul 15, 2026
Visual Defect Detection Feasibility Study
A representative ML discovery engagement that tests whether the visible defect, available images, labeling process, and operational decision form a learnable problem.
Jul 14, 2026
Edge Object Detection on a Constrained Device
A scenario-based edge-ML programme that co-designs model, runtime, capture, thermal limits, and product behaviour instead of optimizing an isolated benchmark.
Jul 13, 2026
Sensor-Drift Monitoring for an ML Pipeline
A representative monitoring design that separates sensor health, data drift, model behaviour, and delayed outcome evidence.
Jul 12, 2026
Multi-Camera Object Tracking for a Controlled Environment
A scenario-based vision architecture for identity handover across cameras, explicit uncertainty, and operationally meaningful event output.
Jul 11, 2026
Predictive-Maintenance Decision Support from Time-Series Data
A representative ML programme that connects sensor history, maintenance events, failure definitions, uncertainty, and human planning decisions.