Gemini Data

Based in San Francisco, Gemini Data, Inc. operates in the enterprise software sector, offering a no-code platform that integrates generative AI with a company's proprietary data. Founded in 2013 by Tony Ayaz, Chris Seybold, and Johnny Lin, the company initially operated as SBOX, providing a hardware appliance for big data security analytics optimized for Splunk. The founders brought significant industry experience; Tony Ayaz, for instance, was an early employee at Splunk, where he was instrumental in developing the global go-to-market strategy, and Johnny Lin previously founded data platform company Me-Ality.

Gemini Data's core offering is Gemini Enterprise, a cloud-native platform that enables both technical and non-technical users to connect disparate data sources—from sales and finance to supply chain and security—and create a semantic layer for analysis. This system is designed to provide specific, explainable answers from a business's own data, minimizing the 'hallucination' risk often associated with broader generative AI models. The platform functions as an enterprise AI assistant, allowing users to ask natural language questions and generate analytical reports. The business model appears to be subscription-based (SaaS), targeting enterprise clients across various industries, including supply chain, cybersecurity, and life sciences. The company has secured customers such as Volkswagen, Toshiba, and Mitsubishi.

While Tracxn reports the company as unfunded, PitchBook data indicates that Gemini Data has raised approximately $36.7 million through several funding rounds, including a Series A round in 2019 and a Series A1 round in 2022. The company has pursued strategic partnerships, such as a collaboration with Arrow Electronics to expand its reach in North America. In a notable move to protect its brand identity, the company filed a lawsuit against Google for trademark infringement over the use of the name 'Gemini' for Google's AI service.

Keywords: generative AI, no-code platform, data analytics, enterprise software, data visualization, business intelligence, semantic layer, big data security, Splunk integration, AI assistant, graph data platform, contextual AI, data storytelling, enterprise knowledge, data integration, cybersecurity analytics, supply chain analytics, customer 360, life sciences data