Striveworks Comparables
Find the most relevant public market comparables for Striveworks, including EV/Revenue and EV/EBITDA multiples to help you make informed investment decisions.
Company Overview
Striveworks is a pioneer in responsible MLOps (Machine Learning Operations) for national security and other highly regulated spaces. Their Chariot MLOps platform enables organizations to deploy AI/ML models at scale while maintaining full audit and remediation capabilities. They specialize in simplifying machine learning operations for organizations that need to manage, monitor, and govern data analytics and AI models, transforming raw production data into actionable models and operationalizing them efficiently.
Business Model
Software as a Service (SaaS) providing a platform for Machine Learning Operations (MLOps).
Target Customers
Enterprise data science and analytics teams, organizations in highly regulated industries (national security, finance, healthcare), Fortune 500 companies, and public sector organizations requiring strong model governance, auditability, and operationalization at scale.
Specific Focus
MLOps (Machine Learning Operations), particularly for highly regulated industries like national security and finance.
Location
Austin, Texas
CEO
Jim Rebesco
Industry
Software & services
Sub Sector
Software
3yr Revenue Growth
271%
Website
Public Market Comparables
Below are the key valuation metrics for companies similar to Striveworks in the Technology sector. These metrics can help you understand how the market values companies with similar business models and growth profiles.
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As a leading player in the Software & services industry within the Technology sector, Striveworks operates in the specialized Software sub-sector. Understanding how Striveworks compares to its public market comps is essential for accurate valuation and strategic decision-making.
Our comprehensive analysis includes detailed comparables (compsets) featuring similar companies in the Software space, with complete financial metrics, growth trajectories, and competitive positioning insights that go beyond the surface-level data shown above.
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