Workflows

Faster decisions. From first signal to fleet in the field.

Accelerate every stage of the hardware lifecycle. Sift is the one platform that connects your data, codifies your criteria, and compounds it.

Prototype & Development

Spend every hour on the hardware.

Bring signals, logs, and video from sensor to plot on one timeline with Sift-supported ingestion and visualization. Your engineers spend their hours on the hardware instead of the data pipeline.

Overlay each new test against the last, or against every run before it, on one synced timeline. The difference shows up the moment the test lands.

Keep every channel, annotation, and prior test on one timeline. Trace a failure to its signal in the same sitting.

When every engineer writes their own scripts, tooling splinters and delays compound. Sift turns data ingestion and visualization issues into a single source of truth. Analysis one person builds becomes something the whole team uses.

First hardware dataConnected
SignalsLogsVideo
EdgeInfrastructureExplore
AssetUNIT-01
RunPrototype
ContextShared
temperature + voltage / shared timeline
Connect the data. Carry the context forward.
An engineer compares test runs in Sift on two monitors: a flight track map beside overlaid time-series plots
Illustrative workflow · Sample data
Tom Praderio, Director of Engineering at Parallel Systems
In their words

“With so much riding on these machines, every engineer diverted to fixing our dated telemetry system feels like lost momentum. We needed a modern solution to help us move forward.”

Tom PraderioDirector of Engineering, Parallel Systems

Parallel Systems autonomous rail vehicle moving through the desertParallel Systems
Read the customer story
Test & Validation

Trace every anomaly to its root cause.

Write your best engineer's limits and checks as rules the whole team runs. Evaluate every test against those rules, surface anomalies as each run completes, and trace each one to its root cause on one timeline. Carry what you learn into reusable checks for future tests, production, and operations.

Check every channel against your limits on every run. Off-nominal behavior gets flagged on the run where it first appears.

Generate the report from the test itself, with plots laid out and pass/fail calculated on every run. Put those hours back into engineering.

Run your review criteria automatically and generate the report from the results. Start every qualification package from reports that list each rule, the annotations it generated, and their review status. Group reports from multiple runs into one Campaign.

Illustrative workflow · Sample data
Blair Gagnon, Lead Hardware Engineer at CX2
In their words

“We analyzed the flight, crossed out branches of the fault tree, and isolated the issue. That just wouldn’t have been possible without Sift.”

Blair GagnonLead Hardware Engineer, CX2

CX2 drone in flight over desert mountainsCX2
Read the customer story
Manufacturing & Production

Accept units at rate. Apply the same criteria, every time.

Reuse validated test criteria as acceptance checks for every production unit. Evaluate each unit the moment its run completes and keep production moving at rate.

Pull up everything that ran against a given unit. Part number and serial number are top-level fields on every test result.

Apply identical checks to every unit and return a traceable pass or fail. Technicians get an answer on the line, and engineers stay focused on the next design.

Illustrative workflow · Sample data
Neel Kunjur, CTO and Co-Founder of K2 Space
In their words

“Sift is critical in making operations seamless, automatically flagging out-of-bounds telemetry, and helping us close the design loop by using real-world data to improve.”

Neel KunjurCTO & Co-Founder, K2 Space

K2 Space satellite above Earth with laser crosslinks connecting it to other satellites in orbitK2 Space
Read the customer story
Live Operations

What caught it in test catches it in the field. What you learn in the field improves the next build.

Everything comes together in the field. Run the same rules against live streams and historical runs. Turn field findings into new rules across your fleet, so your next generation of hardware starts with every rule the first generation produced.

Evaluate your limits against live data across every asset and alert your team the moment behavior goes off-nominal.

Give everyone the same view of each asset's live data, history, and annotations. Keep the investigation in one place, wherever the hardware is.

Keep operational and test data on one platform. Replicate a field failure on the bench and correct it in the next build.

A Sift engineer at a desk watching live time-series plots and data tables across two monitors
Hands typing on a laptop keyboard
Illustrative workflow · Sample data
AI & Custom Workflows

Build custom workflows across every stage.

Describe the workflow you need in plain language and build it with Sift Agents against your data, your rules, and the tools you already use. Pair with a Sift forward-deployed engineer for hands-on setup.

Sift Agents

Start with Sift or your own agent in a hosted workspace that brings your assets, runs, channels, rules, annotations, Sift documentation, and connected tools into each investigation.

Agents
Sift MCP
Sift FDEs

Build it yourself with an agent that understands your hardware.

Our engineers build the first one with you, then your team owns it.

Plantd · Sift MCP

One week. to One afternoon.

A post-test investigation that took Plantd a week now takes an afternoon.

Read Plantd’s story
Let’s talk about how Sift can streamline development, reduce risk, and accelerate certification.
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