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 29, 2026
Robotic Endurance Rig for Physical HMI Validation
A representative validation architecture for exercising physical controls, observing independent product responses, and preserving evidence across long unattended campaigns.
Jul 28, 2026
State-Aware Power-Cycle Validation for a Connected Device
A scenario-based design for proving boot, shutdown, brownout, and recovery behaviour without confusing electrical activity with product readiness.
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 26, 2026
Multi-Protocol Device-Control Gateway for a Shared Test Bench
A scenario-based gateway that gives test authors one coherent control surface across relays, serial devices, instruments, buses, and network APIs.
Jul 25, 2026
Hardware-in-the-Loop Regression for a Safety-Relevant Controller
A representative HIL programme that turns simulated plant behaviour, real controller I/O, and fault injection into reviewable regression evidence.
Jul 24, 2026
Retrofitting Testability into an Existing Embedded Product
A scenario-based path for adding observability, controllability, deterministic reset, and diagnostic hooks without redesigning the whole product.
Jul 23, 2026
Distributed Bench Fleet with a Correlated Evidence Pipeline
A representative architecture for scheduling tests across heterogeneous benches while preserving identity, health, configuration, and evidence.
Jul 22, 2026
Separating Product Defects from Test-Rig Failures
A scenario-based diagnostic layer that classifies failures using independent observations instead of treating every red test as a product defect.
Jul 21, 2026
Source-Grounded Requirements Review Agent
A representative human-supervised agent that checks requirements for ambiguity, missing evidence, conflicts, and traceability without becoming the approver.
Jul 20, 2026
Enterprise Engineering Knowledge Assistant with RAG
A scenario-based assistant that answers from approved engineering knowledge, preserves source identity, respects permissions, and makes uncertainty visible.
Jul 19, 2026
Change-Impact Triage Across Tickets, Documents, and Code
A representative agentic workflow that assembles a traceable impact brief from connected engineering systems before a human decides the change path.
Jul 18, 2026
Human-Approved Document Processing Workflow
A scenario-based agentic pipeline for extracting, validating, routing, and drafting from business documents while reserving consequential actions for people.
Jul 17, 2026
Private On-Premises Technical Assistant
A representative private-deployment architecture for technical knowledge and bounded tool use inside enterprise infrastructure and access controls.
Jul 16, 2026
Agentic Incident Evidence-Pack Builder
A scenario-based workflow that correlates logs, traces, tickets, deployments, and operator notes into a source-linked incident brief for human responders.
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.
Jul 10, 2026
Human-in-the-Loop Annotation and Model-Improvement Workflow
A scenario-based learning loop that routes informative examples to reviewers, versions labels and models, and proves improvements before release.