Factorial Capital

Causal Labs is a technology company that specializes in advanced weather prediction. It develops AI-driven models based on physics to forecast and potentially influence weather patterns, primarily serving the aviation and weather management sectors. These models enable clients to make data-driven decisions, enhance safety, and optimize operations.

Mainframe, established in 2024, is a tech company specializing in AI-driven tools to enhance human-computer interaction. Its debut product, Cobot, is a generative AI assistant that anticipates user needs, automates tasks, and streamlines workflows. Designed to feel like collaborating with a human, Cobot enables users to focus on high-impact work. Backed by top-tier investors, Mainframe's distributed team comprises industry-leading talent from the U.S., Canada, and Europe. The company aims to create intelligent, seamless software that redefines how people work and interact with computers in the 21st century.

An AI security engineer that proactively detects and fixes security vulnerabilities in application source code.

Symbiotic Security is a cybersecurity company that specializes in application security. It operates an artificial intelligence-powered platform, which integrates directly into developers' Integrated Development Environments. This platform provides real-time detection and remediation of security vulnerabilities in code, along with just-in-time training on best security practices.

Oboe is an AI-powered educational platform that offers resources for learning.

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 specializes in an automated evaluation and security platform for large language models. Its AI-powered engine assesses and secures these models, identifying potential issues and offering customizable security solutions. This enables businesses to safely deploy and manage large language models, minimizing risks and enhancing performance.

Adaptive ML is a technology company that specializes in developing a Large Language Model (LLM) platform. This platform enables businesses to train and deploy language models, with a unique feature of incorporating user feedback to enhance model performance. By leveraging company data, user interactions, and feedback, Adaptive ML's platform generates AI models that continuously learn and improve, helping businesses achieve superior performance without requiring expertise in complex techniques like reinforcement learning.

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 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.

Rethinking the personal computing experience

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 is a technology company that develops an AI-driven platform for software engineering. This platform reviews code, identifies and fixes bugs, answers queries, and handles routine tasks such as code review and refactoring, allowing engineers to focus on complex problems.

Patronus AI specializes in an automated evaluation and security platform for large language models. Its AI-powered engine assesses and secures these models, identifying potential issues and offering customizable security solutions. This enables businesses to safely deploy and manage large language models, minimizing risks and enhancing performance.

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 engages in improving both the explainability and accessibilty of AI.

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 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 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.

Converting verbal input into AI agents that actively sync actions with others.

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.