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.
Causal Labs provides AI physics models to predict and control the weather.
Mainframe
Seed Round in 2024
Mainframe is a technology company pioneering the future of human-computer interaction through AI-driven tools. The company’s mission is to redefine productivity and workflow automation by creating intuitive platforms that bridge the gap between humans and intelligent agents. Mainframe’s debut product, Cobot, is a generative AI assistant that anticipates user needs, streamlines tasks, and transforms the way individuals and teams interact with technology. Designed to feel more like collaborating with a human than using an app, Cobot empowers users to focus on impactful work while AI handles the rest. Founded in 2024, Mainframe is supported by top-tier investors and built by a distributed team of industry-leading talent from across the U.S., Canada, and Europe. Mainframe’s vision is to create seamless, intelligent software that reshapes how people work and interact with computers in the 21st century.
PensarAI
Pre Seed Round in 2024
An AI security engineer that proactively detects and fixes security vulnerabilities in application source code.
Symbiotic Security
Seed Round in 2024
Symbiotic Security is a Cybersecurity Solution
Oboe
Seed Round in 2024
Oboe is an AI-powered educational platform that offers resources for learning.
mbue
Pre Seed Round in 2024
Mbue is a company based in Austin, Texas, that specializes in providing AI-based quality control tools for architecture, engineering, and construction firms. Its web-based application utilizes artificial intelligence to review technical drawings in portable document format, identifying subtle changes with precision down to the character level. By automating quality control processes, Mbue enables firms to enhance their operational efficiency, save time and money, and mitigate liability risks. The company's focus on creating user-friendly and aesthetically pleasing products aims to improve the overall results of the architecture and construction industries.
Patronus AI
Series A in 2024
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.
Flower Labs
Series A in 2024
Flower Labs is an open-source framework specializing in federated learning, which allows organizations to train artificial intelligence models on distributed data while maintaining data privacy. The platform supports various machine learning frameworks and programming languages, making it adaptable to diverse operating systems and hardware environments. By facilitating the training of AI on sensitive data spread across different organizational silos or user devices, Flower Labs empowers companies like Banking Circle, Nokia, Porsche, and Brave to enhance their AI capabilities. The approach aims to utilize a broader spectrum of data than traditional centralized methods, potentially unlocking significant advancements in artificial intelligence applications.
Caladan Bio
Seed Round in 2024
Caladan Bio focuses on developing next-generation bioreactors that are modular and affordable, providing advanced technological solutions for various applications. Operating in stealth mode, the company aims to deliver innovative bioreactor systems that enhance efficiency and accessibility in bioprocessing. Through its commitment to cutting-edge technology, Caladan Bio seeks to address the evolving needs of the biotechnology industry.
Software Applications Incorporated
Seed Round in 2023
Rethinking the personal computing experience
Pika
Series A in 2023
Pika is a startup that is developing an AI-powered platform for editing and generating films from captions and still images. The company aims to revolutionize the video creation and editing process through the integration of AI, offering a user-friendly and easily accessible tool for users.
Factory
Seed Round in 2023
Factory is a developer of an AI-based platform for computer codes and software engineering. Its platform reviews code, addresses bugs, answers questions independently, and handles routine tasks like code review, debugging, and refactoring for engineers to delegate tasks and focus on tough questions.
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.
Medbill AI
Pre Seed Round in 2023
Medbill AI offers an AI assistant that helps consumers save time and money on healthcare and medical bills. The service aims to save consumers time and money on their healthcare and medical bills by effectively negotiating with insurance providers on their behalf.
Nomic AI
Series A in 2023
Nomic AI engages in improving both the explainability and accessibilty of AI.
Modelbit
Seed Round in 2023
Modelbit is a company that specializes in providing deployment solutions for machine learning models, catering primarily to data scientists. Its platform allows users to deploy models directly from the Jupyter notebook or other data science environments where they are built and trained. In addition to deployment capabilities, Modelbit offers tools for managing production deployments and facilitates collaboration on datasets among team members. The platform integrates with modern data stacks and includes features such as logging, monitoring, and testing, thereby enhancing the overall development process for machine learning models. The company was co-founded by Harry Glaser and Tom O'Neill.
Flower Labs
Pre Seed Round in 2023
Flower Labs is an open-source framework specializing in federated learning, which allows organizations to train artificial intelligence models on distributed data while maintaining data privacy. The platform supports various machine learning frameworks and programming languages, making it adaptable to diverse operating systems and hardware environments. By facilitating the training of AI on sensitive data spread across different organizational silos or user devices, Flower Labs empowers companies like Banking Circle, Nokia, Porsche, and Brave to enhance their AI capabilities. The approach aims to utilize a broader spectrum of data than traditional centralized methods, potentially unlocking significant advancements in artificial intelligence applications.
mbue
Pre Seed Round in 2023
Mbue is a company based in Austin, Texas, that specializes in providing AI-based quality control tools for architecture, engineering, and construction firms. Its web-based application utilizes artificial intelligence to review technical drawings in portable document format, identifying subtle changes with precision down to the character level. By automating quality control processes, Mbue enables firms to enhance their operational efficiency, save time and money, and mitigate liability risks. The company's focus on creating user-friendly and aesthetically pleasing products aims to improve the overall results of the architecture and construction industries.
Everminds
Pre Seed Round in 2023
Converting verbal input into AI agents that actively sync actions with others.
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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