Sola vs Luminai
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF agentic process automation platform enabling no-code AI bots that self-heal across application updates; YC/a16z $21.5M with $3.5M revenue competing with UiPath and Automation Anywhere for enterprise workflow automation.
About
Sola is a San Francisco-based agentic process automation platform — backed by Y Combinator (2023 batch) with $21.5 million raised including a $17.5 million Series A in 2025 and a $3.5 million seed from Y Combinator and Andreessen Horowitz in 2023 — enabling businesses to automate workflows across any application without code or consultants by recording user actions, building AI-powered bots that adapt to application changes, and continuously improving automation accuracy through a record-adapt-improve loop. Founded in 2023 by Neil Deshmukh and Jessica Wu and generating $3.5 million in revenue by June 2024 with a 23-person team, Sola targets the $60+ billion robotic process automation (RPA) market where legacy platforms (UiPath, Automation Anywhere) have high implementation costs and fragile automations.
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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