A GB10 beside every test bench: autonomous execution, retest and insight in a Wi-Fi NPI lab.

THE SETTING

Who uses it, and where.

Semiconductor · wireless products · new-product-introduction RF testing. Environment: certification lab.

Users. Up to 10 administrators (test engineering leads, NPI managers) and 30 end users (RF test engineers, lab technicians, NPI engineers). Pilot scope: two test cases, a learning case and a final NPI case.

THE STACK

What runs on the machine.

• Test Sequence Operator agent: replaces the request button. The operator prepares and verifies the bench (spectrum analyzer, transmitter, receiver, device under test), presses Launch, and the trigger is emitted and tracked.
• Test Case Execution agent: runs in the background, calls the customer’s own Python test scripts through the controller API (never raw instrument commands), collects the plots and CSV measurements, evaluates them against the formal pass/fail thresholds, decides on a retest with identical or protocol-adjusted parameters (cool-down, attenuation change, channel re-sweep; at most two retries), then escalates or reports.
• Configuration portal for the test engineer: controller API connection, script and result folders, schedule, retry policy.
• Dedicated conversational interface: ask about current and past runs, retest events and anomalies; review plots, data and the agent’s rationale; validate retest decisions or review them afterwards.
• Models and runtime on the box: not yet published.

Network posture. Pilot phase: the agents ran on the Understand Tech platform with remote access to the lab and its controller. Production: an appliance in the lab next to each bench, no cloud dependency, air-gap capable.

THE WORKLOADS

What it does, day to day.

• Closed-loop test execution and retest for Wi-Fi module NPI campaigns.
• Anomaly detection calibrated on roughly 100,000 rows of historical test data.
• Cross-history analysis: similar runs across hardware versions, recurring errors, measurement drift.
• Notifications on pass, fail, retest and anomaly events; automated slide-deck reports from a template.
• Phased autonomy: the agent first proposed retest parameters for the engineer to confirm, then executed retests itself within protocol once its suggestions matched engineer decisions.

OUTCOME

What changed.

Pilot completed with results the customer and UT describe as excellent: a clear reduction of human intervention in triggering, monitoring and retest decisions, and drift and recurring errors surfaced that manual review missed. The customer chose the appliance option and equipped every test bench with a GB10. Measured figures for anomaly-detection accuracy, retest effectiveness and engineer time saved: not yet published.

EVIDENCE & LIMITS

How to read this record.

The customer is not named at its request. Scope and architecture come from the signed statement of work; the outcome is reported by Understand Tech. No measured figures are published yet.

Measured figures (latency, throughput, concurrency, cost) are published only from a documented run on an identified machine. None is attached to this record yet.

LESSONS & FAILURES

What the team learned.

Not yet published. Three lessons from the project team, including what did not work, would complete this record.

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