Key Features:

Connect Existing data: Gather and aggregate your functional test data and images from suppliers, final assembly, and returns
Trace: The Trace feature offers a traceable dataset with all assembly, supply chain and returns data tied to a serial number to track down root causes. It enables virtual tear-downs and AI-based exploration of each unit in depth. No more relying on test teams to manually download data from multiple sources and struggling to combine them into an internal system.
Discover: Avoid extra builds and tests to find failures in your design. Meet your NPI deadlines by surfacing unknown issues in your assembly earlier using real-time data from the factory and an anomaly-detecting AI. It only needs five units to get started and is continuously learning.
Solve: Skip making educated guesses on the potential root cause for failures that can be a hit or a miss. Improve engineering efficiency with an AI-ranked list of the most correlated relationships created by connecting the dots between different data sources.
Monitor: Proactively improve quality and yield with real-time manufacturing insights on output and yield, known defect monitoring, and SPC alerts while reducing dependence on factory production reports.

Benefits:
Meet your NPI Deadline
Detect novel defects that would have remained hidden with continuously learning anomaly-detecting AI. Then, trace and resolve issues in minutes with a comprehensive data record and list of proposed root causes and meet your deadline every time.

Improve Engineering Efficiency
Streamline failure analysis workflows with AI-powered correlations, virtual teardown, and comprehensive data record of every unit. Our technology suggests root causes and helps you trace defects, saving engineering time spent on data collection and debugging.

Avoid additional builds
Utilize anomaly-detecting algorithms and near-real-time factory data to detect defects early. Speed up failure analysis with AI-powered tools that suggest root causes in minutes. By detecting and addressing defects earlier in the design process, you can prevent additional builds or delays.

Avoid Early Field Failures
Discover novel defects using AI and monitor every known defect in your design using pass/fail tests. This will ensure no defect escapes from your factory and will also de-risk the ramp and mass production.

Avoid returns and improve customer satisfaction
Oversee factory operations remotely with a dashboard of key KPIs at every level over time and by each station in your process. Monitor known defects using pass/fail monitors and get alerts when deviations occur. Ensure no defective units escape the factory leading to returns later and negative reviews.