Lamini, a Palo Alto-based startup, has raised $25 million in funding to develop its generative AI platform specifically tailored for enterprises. Lamini’s co-founders, Sharon Zhou and Greg Diamos, have extensive experience in the AI field, having worked at companies such as Google, Baidu, and Stanford University.
Lamini’s platform is designed to address the challenges faced by enterprises in adopting generative AI. These challenges include security, scalability, and the need for high-accuracy models. Lamini claims to have optimized its technology stack for enterprise-scale generative AI workloads, including memory tuning, which is a technique to train a model on data so that it can recall parts of that data exactly.
Lamini also emphasizes the importance of security in its platform. The platform can operate in highly secured environments, including air-gapped ones, and it enables companies to run, fine-tune, and train models on various configurations, including on-premises data centers and public and private clouds.
Lamini’s funding round was led by Amplify Partners, with participation from investors such as Stanford computer science professor Andrew Ng, Figma CEO Dylan Field, Dropbox CEO Drew Houston, OpenAI co-founder Andrej Karpathy, and Bernard Arnault, CEO of LVMH. The funding will be used to triple Lamini’s team size, expand its compute infrastructure, and develop deeper technical optimizations.
Lamini faces competition from enterprise-oriented, generative AI vendors such as Google, AWS, and Microsoft. However, Lamini believes that its focus on enterprise-specific challenges and its unique memory tuning approach gives it a competitive advantage.
