Problem | Complex Data, Time-Critical Decisions

Quickly identifying and monitoring features of interest in imagery is vital for efficient geospatial intelligence. It’s also imperative for operational decision-making in near real-time scenarios. Traditional workflows are labor-intensive, prone to bottlenecks, and often require specialized expertise. This slows down decision-making and can be a big problem in dynamic and high-stakes environments.

Solution | An Integrated Approach to Geospatial Intelligence

The ENVI® Ecosystem can automate data discovery, download and ingest, processing, exploitation, and dissemination workflows, which improve the efficiency of imagery analysis and provide vital information. By bringing together tools that work seamlessly, the ENVI Ecosystem provides a unified platform that solves the challenges of traditional workflows. Its AI/ML/DL tools support the rapid detection of objects in imagery by individuals with minimal prior knowledge of these techniques. It does this by empowering users to:

Create High-Quality Training Data

Streamline data labeling with intuitive tools that enable rapid, multi-class object annotation, ensuring robust training datasets for advanced models.
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Train and Deploy Models Efficiently

Use ENVI Ecosystem’s deep learning module to seamlessly train object detection and segmentation models for specific needs and apply them to real-world datasets.
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Detect and Track Objects Autonomously

Leverage AI-driven solutions to monitor and maintain custody of critical features in real time, reducing manual workload while improving situational awareness.
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Receive Early Alerts for Actionable Insights

Harness predictive analytics and real-time notifications to respond proactively, narrowing down search areas and supporting fast, informed decision-making.
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Comprehensive Solutions Across Industries

The integrated capabilities of the ENVI Ecosystem are designed to be applied to applications across federal, emergency services, DoD, and IC communities. By addressing the challenges of traditional workflows and uniting data labeling, model training, autonomous detection, and predictive tracking in a cohesive ecosystem, NV5 enables organizations to make faster, smarter decisions.