Prototype test analysis
Connect early test results, rig notes, configurations and measurement files so engineering teams can understand what changed between prototype runs.
Resources
Engineering Test Data Resources
Practical guides for hardware teams analysing prototype tests, engineering runs, field data and early production results across spreadsheets, scripts, logs and reports.
Get from scattered engineering test data to decisions faster
Hardware start-ups and scale-ups often move fast with prototype rigs, validation benches, field tests, engineering notebooks, CSV exports, SQL queries, custom scripts and manual reports.
That flexibility helps teams learn quickly, but it also fragments the evidence engineers need when a run looks abnormal, a result changes, or a report needs to explain what happened.
These resources focus on using AI agents to analyse test runs, compare results, investigate anomalies and generate engineering reports without rebuilding the workflow by hand each time.
Core engineering test workflows
Run comparison
Compare test runs across versions, limits, fixtures, firmware, operating conditions and engineering notes without stitching spreadsheets together manually.
Anomaly investigation
Investigate unexpected measurements, failed runs, repeated symptoms and trend changes using the context behind each result.
Field-test data
Bring logs, field observations, returned-unit notes and engineering test evidence into the same investigation workflow.
Engineering reports
Generate concise summaries for design reviews, customer updates, investor diligence, supplier conversations and internal engineering decisions.
Early production learning
Use early production test results as engineering evidence without turning Arc into a production-line yield or quality system.
Common fragmented data sources
Arc is designed for engineering teams with test evidence spread across:
- CSV files and spreadsheet workbooks
- Python, MATLAB, LabVIEW, TestStand and custom script outputs
- SQL exports, local databases and data loggers
- Prototype rig logs, firmware versions and configuration files
- Engineering notes, issue trackers and design review summaries
- Field-test logs, returned-unit notes and early production reports
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Bring a prototype or engineering test workflow and we’ll map where test results, scripts, spreadsheets and manual reports are slowing engineering decisions.
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