The Chariot machine learning operations (MLOps) platform provides a tailored workbench of tools to manage the complete AI model life cycle—from dataset management to model development through remediation—within complex, highly regulated environments. We developed Chariot based on years of experience delivering enterprise-grade AI and ML solutions to DOD customers across classified and unclassified networks.

Our customers retain control. Users can import and export datasets and models as needed, and customers retain all rights to the data, models, code, and inferences developed on the platform.

Chariot provides:

AI modeling capabilities for users at all skill levels through our low-code to no-code training wizard
Rapid data ingestion, annotation, and indexing
100+ native ML architectures with support for customer code
Single-click model deployment, and, critically, model monitoring and remediation
Responsible MLOps establishes the provenance of datasets, models, and inferences and enables auditing at every stage of the AI life cycle
A well-documented open application programming interface (API), software development kit (SDK), and open dataset and model formats to prevent vendor lock-in and facilitate communication between systems
“Disappearing” MLOps into existing software systems through integrations, delivering best-of-breed machine learning capabilities into the systems that analysts and business users already depend upon
Chariot can be deployed on the cloud, on premises, or on secure air-gapped networks, allowing you to bring the platform to your data
Automatic scaling to meet enterprise-level demand via Kubernetes and microservices architecture

Striveworks Chariot MLOps PlatformStriveworks, Inc

Striveworks Chariot MLOps Platform

Striveworks, Inc

Striveworks Chariot MLOps Platform

Striveworks, Inc

Striveworks Chariot MLOps Platform
Striveworks, Inc