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Music AI is a software company specializing in artificial intelligence solutions for music and audio technology. It offers musicians and producers a suite of AI tools including audio separation, pitch/chord detection, metronome, tempo changer, and mastering.

Primus provides AI-powered intelligence in the Web3. It connects Web2 data to Web3, providing AI models with verified inputs while protecting user privacy. It enables DeFi, decentralized healthcare, and Web3 social applications to harness the predictive potential of AI while maintaining data integrity.

Centaur Labs provides a platform for expert data annotation services, specializing in medical, scientific, and other complex datasets. It leverages a global network of tens of thousands of students and professionals to deliver accurate and scalable solutions.

Superb AI is an end-to-end training data platform that automates data preparation at scale, enabling teams to label, manage, curate, and deliver training data for computer vision projects. Founded in 2018 by data scientists, academics, and ML engineers, the company focuses on simplifying the creation and iteration of datasets, making data labeling and curation faster, more accurate, and repeatable. The platform provides data annotation, data curation, model training, and deployment tools to accelerate the development and deployment of computer vision applications, helping organizations reduce time and resource needs for building high-quality datasets and improving model readiness across projects of varying sizes.

Expanso specializes in distributed computing, offering a platform that efficiently processes data across diverse environments, including edge, cloud, and on-premises. Leveraging open-source technology and hardware-agnostic adaptability, the platform orchestrates jobs to run directly where data is generated and stored, minimizing data transfers and enhancing privacy. This approach simplifies data management, reduces latency, and optimizes costs, making it well-suited for complex, decentralized data landscapes.

Activeloop is a technology company that specializes in providing a distributed cloud computing platform designed for building and scaling data pipelines for machine learning applications. Its flagship product, Deep Lake, is a database optimized for artificial intelligence, particularly for deep learning and large language model (LLM) applications. Deep Lake offers a unique storage format that accommodates various data types, including embeddings, audio, text, videos, images, and annotations. The platform features capabilities for querying, vector search, data streaming during model training, and comprehensive data versioning and lineage management. Deep Lake is designed to handle data of any size in a serverless environment, facilitating seamless integration with popular tools such as LangChain and Weights & Biases. The platform is utilized by notable organizations, including Bayer Radiology and Matterport. Founded by a team with backgrounds from prestigious institutions such as Princeton and Stanford, Activeloop has garnered support from Y Combinator, positioning itself as a key player in the machine learning and AI data management landscape.

Liquid AI is a technology company that develops artificial intelligence solutions for various applications. It focuses on creating tools for data analysis and decision-making processes. Liquid AI serves industries such as finance, healthcare, and logistics.

MosaicML is a company focused on creating an efficient infrastructure for training large language models and improving the overall efficiency of neural networks. It develops software and artificial intelligence training algorithms that enhance the training process by utilizing algorithmic techniques such as sparsity and network pruning. These innovations allow users to effectively and securely train large-scale AI models on their proprietary data, while also optimizing for speed, quality, and cost. MosaicML aims to streamline the machine learning model recomposition process, making it easier for organizations to harness the power of AI in their operations.

DynamoFL empowers enterprises to deploy Gen AI solutions in a safe, private, and compliant manner. Our tools offer a scalable and efficient solution for defense against adversarial AI threats, ensuring the integrity and security of ML models throughout their lifecycle. Our suite of proactive AI model defense solutions can be deployed to both identify and remediate security and robustness risks in Generative AI systems. We enable organizations to deploy state-of-the-art LLMs on substantially cheaper hardware, even including CPU resources.

Space and Time is a decentralized analytics platform designed to facilitate low-latency queries and tamperproof analytics across the Web. The company provides a multichain data solution tailored for decentralized applications (dapps) and developers in sectors such as gaming and decentralized finance (DeFi). Its platform enables the integration of on-chain and off-chain data, allowing users to perform complex analytics in a single query. By transforming major blockchains into advanced databases, Space and Time empowers organizations to achieve enterprise-scale analytics while enhancing the speed and reliability of their data operations.

DataGen Technologies, founded in 2018 and based in Tel Aviv, Israel, specializes in developing simulated data technology that is scalable, bias-free, and automatically annotated. The company focuses on creating hyper-photorealistic imagery and utilizes advanced algorithms to generate high-variance datasets. This technology allows clients to efficiently simulate large-scale data tailored to their specific needs and requirements, helping to enhance data-driven decision-making and analysis across various industries.

SceneCraft is a developer of a model development platform designed to enhance the training of machine learning models. The platform employs intelligent data augmentation techniques to enrich existing training datasets with augmented, synthetic, and unlabeled data. This approach enables clients to build more accurate models more efficiently, reducing the need for extensive labeling and accelerating the overall model training process. By leveraging advanced methods such as self-supervised learning, SceneCraft's technology improves performance on challenging data classes and helps mitigate biases, allowing for optimal model performance with minimal parameter tuning.

Founded in 2019, Metrika is a software company based in Cambridge, Massachusetts. It offers a real-time dynamic risk management platform tailored for digital assets and blockchain protocols, providing advanced compliance and risk frameworks to enable financial institutions to confidently navigate the digital finance landscape.

Anodot is a SaaS-based autonomous analytics company offering an automated business analytics and anomaly detection platform. The platform continuously collects and analyzes data to identify outliers and abnormal patterns, automatically isolating issues and correlating signals across multiple parameters in real time to eliminate insight latency and support rapid business decisions. It serves data-driven sectors such as eCommerce, fintech, adtech, telecommunications, IoT, and gaming, and is distributed through a global network of resellers. Founded in 2014, Anodot is headquartered in Ra'anana, Israel, with offices in London and Sydney.

DiscreetAI is a developer of a decentralized machine learning platform focused on privacy-preserving technologies for mobile, web, and server applications. The company creates open-source developer tools that facilitate machine learning while ensuring data privacy, security, and compliance. By enabling training on decentralized datasets, DiscreetAI allows organizations to leverage larger data pools without compromising sensitive information. This approach is particularly beneficial for Fortune 500 companies that face real-world challenges involving private data. The platform's architecture ensures that data remains on its host, thus enhancing the feasibility of training models without centralization, and supports the development of secure online marketplaces for big data transactions.

Juvo Mobile Inc. is focused on creating financial identities for creditworthy individuals who are often excluded from traditional financial systems. Founded in 2014 and headquartered in San Francisco, with additional offices in São Paulo, Singapore, and Miami, Juvo collaborates with mobile network operators to leverage its proprietary Identity Scoring technology. This technology utilizes data science, machine learning, and game mechanics to develop identity-based relationships with prepaid users, thereby facilitating access to mobile financial services that were previously unattainable. By transforming subscriber consumption with real-time credit, Juvo aims to deepen connections between mobile operators and their subscribers, ultimately enhancing their ability to provide essential financial services. The company is privately held and supported by prominent figures in technology, mobile, and finance.

Juvo Mobile Inc. is focused on creating financial identities for creditworthy individuals who are often excluded from traditional financial systems. Founded in 2014 and headquartered in San Francisco, with additional offices in São Paulo, Singapore, and Miami, Juvo collaborates with mobile network operators to leverage its proprietary Identity Scoring technology. This technology utilizes data science, machine learning, and game mechanics to develop identity-based relationships with prepaid users, thereby facilitating access to mobile financial services that were previously unattainable. By transforming subscriber consumption with real-time credit, Juvo aims to deepen connections between mobile operators and their subscribers, ultimately enhancing their ability to provide essential financial services. The company is privately held and supported by prominent figures in technology, mobile, and finance.

Data.World develops an open data platform that enables users to discover, understand, share, and collaborate on diverse datasets. Its platform supports various formats and sectors, fostering a collaborative community for both business and public use.