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Propel Enterprise Analytics
AI & Data14 MonthsLockheed Martin

Propel Enterprise Analytics

An advanced internal data dashboard and predictive analytics platform designed to monitor aerospace systems and optimize manufacturing lifecycles.

Overview

The story
behind it

Lockheed Martin required a secure, high-performance platform to visualize complex telemetry data from aerospace assets and predict maintenance needs before failures occurred.

+65%
Data Processing
99.95%
Accuracy
$12.5M
ROI (Year 1)
FEDRAMP
Security Level
The Challenge

What stood in the way

Data was siloed across multiple departments, making it impossible to get a holistic view of asset health or manufacturing efficiency in real-time.

Our Solution

How we made it happen

Spire Digital developed 'Propel', a React-based data lake visualization tool that uses machine learning to identify anomalies in massive datasets.

Key Results

Impact that speaks

60%

Faster Insight

Engineers can now analyze flight data in minutes rather than days, drastically accelerating development cycles.

100%

Compliance

The platform met all federal cybersecurity and data sovereignty requirements for aerospace defense projects.

Preventative

Fail-Safe

The AI detection engine successfully predicted multiple hardware issues, preventing costly manufacturing delays.

Gallery

A closer look

Propel Enterprise Analytics gallery 1
Propel Enterprise Analytics gallery 2
Features

What we
delivered

Every feature was built with purpose, performance, and user experience at its core.

Real-Time Telemetry Feed
Anomaly Detection Engine
Manufacturing Lifecycle Tracking
Secure GovCloud Hosting
Custom Data Visualization
Silo-Busting Integration
Exportable Compliance Reporting
Advanced User Permissions
Tech Stack

Tools & technologies

ReactPythonPyTorchKubernetesD3.jsSnowflakeAWS GovCloud
Timeline

From concept to launch

Phase 1

Defense Scoping

Defining data security requirements and aerospace specific KPIs.

Phase 2

Data Integration

Connecting disparate data sources into a unified, secure data lake.

Phase 3

ML Model Training

Developing and validating anomaly detection models for aerospace telemetry.

Phase 4

Dashboard Launch

Deploying the visualization suite for engineering and management teams.

FAQ

Common questions

Ready to start?

Let's build something remarkable together

We'd love to discuss how we can help bring your vision to life. Our team has extensive experience across AI, web, mobile, and cloud technologies.

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