Striveworks is a software company specializing in simplifying machine learning operations (MLOps) for organizations that need to manage, monitor, and govern data analytics and AI models. Striveworks offers a platform designed to help businesses and public sector organizations transform raw production data into actionable models, and operationalize those models in real-world systems efficiently.
The core of Striveworks' offering is its Chariot platform. Chariot allows users to:
- Train, test, deploy, and monitor machine learning models using their own production data.
- Track the full lineage of both model and data sources ("upstream" provenance) as well as how model inferences are used downstream, supporting strong governance and regulatory compliance.
- Develop and manage robust analytics in a way that is accessible to organizations with varying levels of technical expertise, thanks to a high-level code approach and a low barrier to entry.
This approach addresses a common challenge for modern organizations: existing analytics solutions and machine learning models are often not tailored for fast-changing environments or are too generic to effectively solve specific business problems. By providing an extensible and principled platform, Striveworks enables organizations—particularly those in highly regulated industries—to maintain oversight, transparency, and control over their machine learning workflows.
Who Uses Striveworks?
Striveworks is trusted by leading Fortune 500 companies as well as public sector organizations. Its platform is designed to serve customers who require strong model governance, auditability, and operationalization at scale, especially in industries where compliance and traceability are critical.
How Was Striveworks Started?
Striveworks was founded by Eric Korman, Anthony (Tony) Manganiello, and Jim Rebesco. The founding team brings expertise in software development and data science, which shapes the company's focus on principled data and model management.
What Makes Striveworks Different?
A key differentiator for Striveworks is the emphasis on tracking both data and model lineage throughout the machine learning lifecycle, combined with an accessible user experience. This makes the Chariot platform particularly valuable for organizations with high governance and compliance requirements.
You can learn more about Striveworks and their approach on their About page.
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