Test more, train more, and deploy autonomous systems faster than ever before.

When developing algorithm’s 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.

2nd

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

TALK TO OUR TEAM

Data and AI Insights

Artificial IntelligenceAWSCloudECS BlogGoogleMachine LearningMicrosoft
June 1, 2022

Achieve Data Readiness with AI/ML

ECS is ready to advise and assist in developing and managing an effective AI/ML strategy, helping your organization achieve data readiness.
Artificial IntelligenceCybersecurityECS CultureMission SolutionsWork That Matters
April 27, 2022

Work that Matters: Tony Zech

Tony Zech discusses how AI influences the next generation cybersecurity solutions and the importance of collaboration between the disciplines.
AnalyticsArtificial IntelligenceECS BlogMission Solutions
March 16, 2022

Intelligent Intel: Key Considerations for Secure PAI Research

Program manager, Sherri Smith, talks about her work with PAI, OSINT, and the ECS Argos platform.