Factorial Capital is a venture capital firm founded in 2022 and located in New York. The firm specializes in investing in startups focused on artificial intelligence, aiming to support and nurture innovative companies in this rapidly evolving sector. By targeting AI-driven enterprises, Factorial Capital endeavors to contribute to advancements in technology and foster growth in the industry.
Patronus AI operates as an automated evaluation and security platform. The company's platform includes an artificial intelligence-powered engine for creating a security and analysis framework for testing massive language models to discover potential problems, providing clients with a package of security solutions that can be tailored to their individual requirements.
Adaptive ML
Series A in 2024
Adaptive ML is a technology firm that develops an LLM platform to help companies train and deploy language models using user feedback.
Patronus AI
Seed Round in 2023
Patronus AI operates as an automated evaluation and security platform. The company's platform includes an artificial intelligence-powered engine for creating a security and analysis framework for testing massive language models to discover potential problems, providing clients with a package of security solutions that can be tailored to their individual requirements.
Argilla
Seed Round in 2023
Argilla operates an AI-driven, open-source platform focused on enhancing data-centric natural language processing. The platform offers tools that facilitate the fine-tuning, validation, and maintenance of enterprise language models by integrating both human and AI-generated feedback. It aims to assist domain experts in emphasizing critical data for model optimization and reinforcement learning from human feedback, while also automating processes to ensure efficient scaling from prototype to production. Additionally, Argilla provides a collaborative environment that streamlines the model development process, allowing AI engineers and domain experts to create superior NLP datasets more quickly through effective data labeling and iterative feedback mechanisms.
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