Like a fine-tooth comb

Good news! You don’t need to visualize a thousand channels at a time. Displaying your data with a low signal-to-noise ratio virtually guarantees any real issues will be missed.

There is a better way. When your team adds their expertise to Sift, it analyzes all the data from simulation, test, and mission operations, so you only investigate real anomalies.

Sift watches all of your data and tells you what needs your attention, enabling engineers to just keep track of the 5-10 channels that indicate degraded performance.

Troubleshoot quickly and efficiently

Once an anomaly has been flagged, you can leverage Sift’s unified visualization capabilities to determine whether the failure is due to a hardware issue, software bug, or environmental factor.

With this knowledge, you can further refine your rules, taking into account all the edge and corner cases that come with operating complex hardware in the real world.

Capture all your institutional knowledge

When engineers root cause an automatically-generated annotation and add their reasoning to the tool, they are embedding their expertise into Sift.

The next time a similar failure signature is flagged, operators will be able to easily reference their team’s institutional knowledge, enabling them to speed up the resolution cycle and react much quicker to save their vehicles.

Add every nuance of context

If an engineer notices something independent of the rules engine, they can add manual annotations to the data for greater contextual understanding. Sift allows your team to either add context to the hardware’s performance, or to flag an anomaly for review.

Remember … be thorough and flexible in your review. Only the paranoid survive.