Protean Labs provides easy to use DevSecOps tools to help you write secure software without thinking about it!
Quilt Labs offers an advanced platform designed to enhance qualitative analysis by enabling users to orchestrate prompts at scale, thereby boosting efficiency by up to 100 times. This solution empowers professionals to focus on creativity and in-depth analysis while managing large volumes of data seamlessly. Key Features and Functionality: - Public Equities and Credit: Evaluate thematic risk exposure, conduct comprehensive commentary analysis, explore new industries, and qualitatively filter i
Gamgee Labs simplifies how organisations use data by providing an AI-native analytics platform that makes insights faster, decisions smarter, and workflows seamless.
Unlock unprecedented growth with our suite of cognitive technologies. From computer vision to generative models, we engineer intelligence for the modern enterprise.
Kompact AI by Ziroh Labs is an innovative platform that enables the deployment of high-performance artificial intelligence (AI) models on standard CPU infrastructure, eliminating the traditional reliance on GPUs. This approach makes AI more accessible, cost-effective, and scalable across various environments, including cloud, on-premise, and edge devices. Key Features and Functionality: - Universal Accessibility: Kompact AI allows advanced AI models to run efficiently on CPUs, facilitating dep
Percevio Labs is an applied research organization focused on developing foundational multimodal intelligence systems and delivering them as end-to-end, real-world solutions. We specialize in creating AI that can perceive, reason, and act by unifying vision, language, spatial understanding, and other sensory representations into coherent learning frameworks. Our expertise spans Spatial AI, multimodal representation learning, and large-scale foundation models. At Percevio Labs, we take full owner
Dedalus Labs is a Software Development firm offering AI based MCP gateway service to their clients.
Permian Labs is a fintech company that facilitates capital markets for AI infrastructure assets
Kobalt Labs provides an AI copilot for risk and compliance teams at financial institutions.
Guide Labs is a software development company that builds interpretable models to explain reasoning that are easy to steer, debug, and align.
Periodic Labs develops artificial intelligence systems that simulate and predict the properties of materials using machine learning.
Any workload. Any hardware. Any scale.
Salience Labs provides photonic switch technology and optical networking solutions tailored for AI infrastructure.
Morphle Labs is a deep-tech healthcare automation company that develops robotic and imaging systems for cancer diagnostics.
Manifold Labs is a decentralized AI infrastructure company.
Alesia Labs specializes in delivering advanced AI-driven observability solutions designed to enhance the performance and reliability of complex IT infrastructures. By integrating artificial intelligence and automation, Alesia Labs enables organizations to proactively monitor, detect, and resolve system anomalies, ensuring optimal operational efficiency and an improved user experience. Key Features and Functionality: - Autonomous Observability: Provides a comprehensive, real-time view of techno
Euno's integration of dbt™ and Tableau bridges the gap between data transformation and visualization, enabling organizations to maintain robust data governance while granting analysts the freedom to explore and create. This synergy ensures that business logic is consistently applied across the data stack, enhancing trust and efficiency in data-driven decision-making.
World Labs is a spatial intelligence AI company dedicated to developing Large World Models (LWMs) that enable artificial intelligence to perceive, generate, and interact with three-dimensional (3D) environments. By advancing AI's understanding of spatial contexts, World Labs aims to bridge the gap between digital and physical worlds, offering innovative solutions across various industries.
Flower Labs offers an open-source framework designed to facilitate federated learning, enabling collaborative machine learning across decentralized datasets without compromising data privacy. This approach allows AI models to be trained directly on data sources, such as user devices or organizational silos, eliminating the need for centralized data collection. By keeping data localized, Flower ensures privacy compliance and reduces dependency on centralized computing resources.