Striveworks

Striveworks: Streamlining ML Operations with Scalable Model Development

Striveworks is a cutting-edge platform designed to transform the way organizations handle their machine learning operations. It offers tools to build, deploy, monitor, and audit data and models, ensuring rapid deployment and efficient model management. With features like 'Process as Code' and Data Lineage, Striveworks emphasizes governance and auditability throughout the analytics lifecycle.

Key Features:

• Rapid Model Deployment: Create and deploy ML solutions within a single day.
• Low-Code Interface: Simplifies the model building and deployment process.
• Data & Model Auditability: Ensures traceability and governance of data and models.
• Flexible Deployment Options: Tailored to fit various organizational needs.
• Operationalize AI: Embed structured, scalable model development within existing workflows.

Ideal Use Case:

Striveworks is perfect for organizations aiming to streamline their ML operations. Whether it's for physical security, national security, logistics, cybersecurity, healthcare, or finance, Striveworks provides the tools to deploy models rapidly and manage them efficiently.

Why use Striveworks:

• Efficient MLOps: Eliminate the complexities of ML operations with structured model development.
• Fast ROI on Machine Learning: Achieve quick returns by creating models in Chariot.
• Governance and Audit: Ensure complete transparency and traceability in the analytics process.
• Collaborative Platform: Bring multidisciplinary teams together to drive AI outcomes.

tl;dr:

Striveworks offers a comprehensive platform for ML operations, enabling organizations to rapidly deploy and manage models, ensuring governance, auditability, and collaboration.