How Agentic AI Will Revolutionize Defense and Intelligence
Agentic AI is poised to revolutionize defense and intelligence. How can the U.S. and our allies position ourselves to win the AI arms race?
Test more, train more, and deploy autonomous systems faster than ever before.
When developing algorithms to classify, detect, and track objects, training is usually measured in days and weeks. But at ECS, we’ve shortened the time it takes to collect, normalize, and label data down to hours. Through rapid retraining (RRT), ECS enables teams to train, test, and redeploy computer vision (CV) models in under 36 hours, meaning your organization can improve the performance of its autonomous systems faster than ever before.
< 36 hours
Time between post-mission processing and model redeployment
50%
Historical improvement in CV model performance
Our Experience
ECS is the only company to codify and internalize the entire RRT procedure under one roof. We have the infrastructure, people, and expertise to help with every step of CV training, from algorithm development to data management, processing, labeling, and more.
1st
Largest provider of AI/ML solutions to DoD
300+
Models deployed to the field
15
Number of operation sites around globe
Rapid Retraining
Improve the Precision, Recall, and Performance of Your Autonomous Systems.
Interested in learning how ECS Rapid Retraining can transform your analytics and research operations? Reach out and talk to an expert today. Contact us: AI-RRT@ecstech.com
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Data and AI Insights
How Do You Implement an Effective Data Mesh Maturity Model?
How Do You Implement an Effective Data Mesh Maturity Model?
To meet the standards of the Federal Data Strategy and begin leveraging data to its full strategic potential, federal organizations should use a data maturity model — complemented by data mesh concepts — to imrpove their data maturity.
On Making the Transition to Data Mesh
On Making the Transition to Data Mesh
Vice President of Defense Solutions Karthik Srinivasan provides insights into our defense and intelligence communities’ transitions from legacy data architectures to data mesh.
