RagaAI
Engineering Software · California, United States · 51-200 Employees
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Overview
Headquarters
San Francisco, California, United StatesWebsite
www.raga.aiRevenue
$11.6 MillionIndustry
ZI Rank: 1
Signal Type
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ZI Rank
3
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About RagaAI
RagaAIs platform enables AI developers to roadtest their products and services as they are developed and deployed. The platform can be used in areas including large language models, natural language processing and computer vision, enabling developers to identify and correct AI errors before they cause significant problems.Explore more
RagaAI Org Chart
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Revenue
Number of Employees
Type
Funding
Founded In
Company Profile Activity
Activity Insights
RagaAI is experiencing very low activity levels compared to other companies in the Software sector.
What does this means?
RagaAI is drawing exceptional interest within the Software industry, suggesting notable developments or strong market momentum, learn more about RagaAI.
RagaAI financials insights
Gather financial insights about RagaAI, including details on funding rounds, investors, total funding, and acquisitions, to gain a comprehensive understanding of their financial strategy.
2024
Angel/Seed
$4.7M
RagaAI Tech Stack
A closer look at the technologies used by RagaAI
Most Recent Scoops
Hiring Plans
RagaAI has more open roles in Sales than it has had at any time in the past 12 months. Technologies mentioned include: Google Workspace.
Hiring Plans
Hiring Plans
RagaAI has more open roles in Engineering & Technical than it has had at any time in the past 12 months.
Hiring Plans
New Hire
Executive Move
RagaAI has announced that Venkatesh Natarajan has joined the organization as Chief Product Officer. Previously, Natarajan served as Vice President, Product Management (Analyze Products) at LiveRamp.
Executive Moves, New Hire
Funding
RagaAI News & Media
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Frequently Asked Questions Regarding RagaAI
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RagaAIs platform enables AI developers to roadtest their products and services as they are developed and deployed. The platform can be used in areas including large language models, natural language processing and computer vision, enabling developers to identify and correct AI errors before they cause significant problems.... Read More
