From Anomalies to Nominal with a Single Platform: Sift
Engineering demands nominal data
Today’s most advanced machines demand nominal performance, yet engineers are developing 21st century hardware with 20th century tools. Sift replaces disconnected workflows with a unified data platform that ensures nominal conditions across the full machine lifecycle.
Trusted by teams building aerospace, defense, and energy systems, Sift keeps data structured, accessible, and auditable, so engineers can move faster, fail less, and maintain nominal system states.
From anomalies to nominal
Sift enables engineers to transition from chasing anomalies to maintaining nominal operations.
Research and Development: Root cause analysis, CI/CD orchestration, simulation review
Manufacturing: MES enrichment, facilities monitoring, automated compliance
Operations: Real-time fleet monitoring, lifecycle management, sustained nominal performance
Sift is the data platform purpose-built for hardware development
Challenges with other solutions
Latency at the Edge
Some systems struggle with deterministic real-time constraints. Even slight jitter can keep critical loops from staying nominal.
Scalability Bottlenecks
High-volume telemetry, synchronized video, and physics replay sound good in theory, but storage and bandwidth costs escalate quickly. Keeping data nominal across environments becomes inconsistent.
Legacy Integration Gaps
Aerospace and defense programs rely on entrenched tools like LabVIEW, proprietary test benches, and custom data stores. Migration to a one-size-fits-all stack often introduces more friction than it removes.
Security and Certification Hurdles
Mission-critical industries demand proof of compliance. Claims of on-prem or GovCloud deployments are not enough when certification frameworks like DO-178 and ITAR require rock-solid traceability.
Sift was purpose-built to avoid these pitfalls. By focusing on full-fidelity data infrastructure, scalable observability, and deployment models proven in aerospace and defense, Sift ensures that your systems stay nominal without compromise.
Keep systems nominal, end-to-end
See All Data in Full Fidelity
Sub-nanosecond resolution ensures nominal values are validated without guesswork.
Collaborate at Every Step
Share plots, annotations, and snapshots to align your team around what nominal looks like.
Supercharge Analysis
Blend pro-code and no-code workflows to rapidly detect when data drifts from nominal ranges.
Test Hardware Like Software
Automate validation and confirm nominal states across continuous test runs.
Deploy Anywhere
On-Prem, GovCloud, VPC, or Classified environments to keep nominal performance secure.
Request a demo.
Talk to our engineers about how high-performance teams use Sift to unify data across the hardware lifecycle.
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