Tines vs Luminai
Side-by-side comparison of AI visibility scores, market position, and capabilities
Security and IT workflow automation platform (unicorn, Feb 2025 at $1.125B) processing 1B+ automated actions weekly; 200% revenue growth serving Coinbase and LinkedIn competing with Palo Alto XSOAR.
About
Tines is a Dublin-based no-code workflow automation platform that originated as a security operations automation tool and has expanded to serve broader IT, infrastructure, and business process automation needs — enabling security and IT teams to build complex automated workflows without programming by connecting APIs, creating conditional logic, and deploying AI agents that act autonomously on data. Founded in 2018 by Eoin Hinchy and Thomas Kinsella (former security engineers at DocuSign and eBay) and backed by Accel and Addition, Tines achieved unicorn status in February 2025 at a $1.125 billion valuation, processing over 1 billion automated actions weekly for customers including Coinbase, Databricks, and LinkedIn, with 200% revenue growth over 18 months.
US YC W20 enterprise workflow automation for insurance/financial services/govt at 16% handle time reduction and 60% faster onboarding; $58.
About
Luminai (formerly DigitalBrain) is a United States-based enterprise workflow automation platform — backed by Y Combinator (W20) with $58.1 million in total funding including a $33 million Series B in March 2025, a $20.7 million Series A in March 2022, and a $3.4 million seed from investors including Peak XV Partners, General Catalyst, Underscore VC, Craft Ventures, and Avra — providing mission-critical industries (insurance, financial services, healthcare, and government) with AI-powered workflow automation that handles complex, multi-step operational tasks end-to-end, reducing average handle time by 16%, cutting customer service agent onboarding time by 60%, and saving 25+ hours per month per agent. Founded in 2018, Luminai's AI automation platform deploys in enterprise environments where regulatory requirements and operational complexity make fully automated AI agents impractical without human oversight integration.
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