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 technology 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 while AI handles routine tasks. Backed by top-tier investors, Mainframe's team comprises industry-leading talent from the U.S., Canada, and Europe, working together to create intelligent software that reshapes productivity 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 technology company based in Austin, Texas, that specializes in providing artificial intelligence-based quality control tools for the architecture, engineering, and construction industries. Its web-based application is designed to instantly review technical drawings in portable document format, utilizing AI to identify subtle changes with precision, including modifications at the character level. By automating quality control processes, Mbue aims to help firms enhance their operational efficiency, save time and money, and reduce liability through user-friendly and aesthetically pleasing products.

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 providing customizable security solutions. The platform helps businesses safely adopt and deploy large language models by automating and scaling manual evaluation processes, thereby minimizing risks and ensuring model reliability.

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 dedicated to advancing artificial intelligence through federated learning. By enabling companies to train AI models on distributed, sensitive data, Flower Labs addresses a critical challenge in the AI landscape where most models rely on centralized public data. The platform is designed to be interoperable across various operating systems and hardware, allowing for seamless integration in heterogeneous edge device environments. It supports a wide range of machine learning frameworks and programming languages, making federated approaches accessible to a diverse set of users. Notable companies such as Banking Circle, Nokia, Porsche, and Brave utilize Flower to enhance their AI capabilities while maintaining data privacy and security. This innovative approach aims to leverage significantly more data, unlocking potential advancements in AI development.

Caladan Bio is a company focused on the development of next-generation bioreactors that deliver modular and affordable technology solutions. By innovating in bioreactor design, the company aims to enhance efficiency and accessibility in bioprocessing applications. Currently, Caladan Bio is operating in stealth mode, allowing it to refine its offerings and strategies before a broader market introduction.

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-based platform for software engineering. Its platform reviews code, addresses bugs, answers questions, and handles routine tasks such as code review, debugging, and refactoring, allowing engineers to delegate tasks and 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 providing customizable security solutions. The platform helps businesses safely adopt and deploy large language models by automating and scaling manual evaluation processes, thereby minimizing risks and ensuring model reliability.

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 and other data science notebooks where they were developed and trained. Key features of Modelbit's platform include integration with modern data stacks, logging, monitoring, and testing capabilities, enabling efficient management of model deployments in production environments. Additionally, the platform fosters collaboration among team members by facilitating shared access to datasets. Modelbit was co-founded by Harry Glaser and Tom O'Neill.

Flower Labs is an open-source framework dedicated to advancing artificial intelligence through federated learning. By enabling companies to train AI models on distributed, sensitive data, Flower Labs addresses a critical challenge in the AI landscape where most models rely on centralized public data. The platform is designed to be interoperable across various operating systems and hardware, allowing for seamless integration in heterogeneous edge device environments. It supports a wide range of machine learning frameworks and programming languages, making federated approaches accessible to a diverse set of users. Notable companies such as Banking Circle, Nokia, Porsche, and Brave utilize Flower to enhance their AI capabilities while maintaining data privacy and security. This innovative approach aims to leverage significantly more data, unlocking potential advancements in AI development.

Mbue is a technology company based in Austin, Texas, that specializes in providing artificial intelligence-based quality control tools for the architecture, engineering, and construction industries. Its web-based application is designed to instantly review technical drawings in portable document format, utilizing AI to identify subtle changes with precision, including modifications at the character level. By automating quality control processes, Mbue aims to help firms enhance their operational efficiency, save time and money, and reduce liability through user-friendly and aesthetically pleasing products.

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

Argilla is a developer of an AI-driven, cloud-based open-source platform that specializes in data-centric natural language processing. The platform is designed to enhance the model development process by providing intuitive tools for data labeling, feedback incorporation, and transparent iteration. It enables AI engineers and domain experts to efficiently fine-tune and validate enterprise language models, leveraging both human and AI-generated feedback. Argilla's solutions facilitate reinforcement learning from human feedback and model evaluation, allowing users to focus on critical data while automating other processes. This approach supports the scaling of projects from prototype to production, streamlining the creation of high-quality NLP datasets in a timely manner.