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Monad provides a security data lake that centralizes and organizes large volumes of security data from various sources like databases and text files. The platform uses machine learning and big data technologies to analyze this information in its native format, identifying patterns and threats that traditional security tools often miss. Unlike standard security software, Monad focuses on a data-native infrastructure that allows enterprises to integrate and scale their security analytics within a single repository. The company's goal is to help large organizations protect their information by providing a scalable system for continuous threat detection and data analysis.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$19M
Headquarters
San Francisco, California
Founded
2020
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Total Funding
$19M
Meets
Industry Average
Funded Over
2 Rounds
Industry standards
Health: Medical, dental, vision
401k
Flexible vacation
Remote work opportunities
Monad, Inc., a San Francisco, CA-based security data cloud company, emerged from stealth with $17m in Series A funding. The round, , which brought total investment to $19m, was led by Index Ventures with participation from Sequoia Capital, Christian Almenar and Jacolon Walker. Shaun Maguire, partner at Sequoia, will join the Monad board of directors along with Carlos Gonzalez-Cadenas, partner at […]
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$19M
Headquarters
San Francisco, California
Founded
2020
Find jobs on Simplify and start your career today