DynamoFL, a San Francisco, CA-based provider of an enterprise solution for privacy-preserving Generative AI, raised $15.1M in Series A funding.
Including a $4.2M seed round, the company has raised $19.3M to date.
The round was co-led by Canapi Ventures and Nexus Venture Partners, with participation from Formus Capital, Soma Capital and angel investors Vojtech Jina, Tolga Erbay, and Charu Jangid.
The company intends to use the funds to meet demand for its privacy- and compliance-focused generative AI solutions.
Led by CEO Vaikkunth Mugunthan, and co-founder Christian Lau, DynamoFL provides anproprietary technology that encapsulates optimization techniques for training and deploying Generative AI models along with a privacy training and evaluation suite incorporating paradigms like Federated Learning and Differential privacy to bring a performing plug-and-play Generative AI to global enterprises. Its flagship technology, which allows customers to safely train Large Language Models (LLM) on sensitive internal data, is already in use by Fortune 500 companies in finance, electronics, insurance and automotive sectors.
DynamoFL’s privacy evaluation suite provides out of the box testing for data extraction vulnerabilities and automated documentation to ensure enterprises’ LLMs are secure and compliant.
FinSMEs
16/08/2023