General Catalyst is a venture capital firm that provides early-stage and growth equity investments. The company provides ongoing momentum that accelerates ideas, careers, and companies toward standout success.

General Catalyst

BuildGroup is a software holding company that selectively invests in leadership teams with staying power. We back founders who are ambitious enough to want to make a dent in the universe and humble enough to realize they can’t do it alone. By providing permanent capital from aligned investors and avoiding forced exits, BuildGroup frees entrepreneurs to focus on serving customers instead of raising the next round. We believe that great businesses are built, not bought, and that’s why our team works side-by-side with founders to create conditions for long-term growth.  BuildGroup was founded in Austin, Texas by a team of proven builders who love nothing more than helping build and grow extraordinary companies.

BuildGroup

Early stage fund, focused on investing in founders starting up from the open source community. General partners believe that the next $1T of value in SaaS growth will be companies based on open source software. Firm pledges part of partners' own returns to funding contributors to open source. This program includes inviting new contributors from populations currently underrepresented in tech professions.

Apertu Capital

Anaconda

Anaconda is a Python data science and AI platform with more than 40 million users across 250 countries serving 90% of Fortune 500 companies. With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.

Anaconda is a Python distribution and platform that provides access to thousands of open-source data science and machine learning packages through its repository.&nbsp; Its key offering is the On-Premises Large Language Model (LLM) solution, which enables organizations to create and deploy custom GenAI applications within their own infrastructure. This approach ensures data security and compliance by allowing sensitive information to remain on-site.&nbsp;

How to Setup Anaconda For Data Science?

About Anaconda

Data Science & AI Workbench

Why Anaconda’s Data Science Tent Is So Big–And Getting Bigger

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

Anaconda and AWS Unlock New Possibilities for Enterprise AI Development

Partnered with IBM to integrate Anaconda's repository of open-source Python packages into IBM's AI and data platform, watsonx.

Platforms that assist with fine-tuning pre-trained GenAI models or custom models tailored to specific use cases. Includes services that train models from scratch or use existing models

Oracle

Anaconda Inc., provider of a data science platform, is partnering with Oracle Cloud Infrastructure to offer secure open-source Python and R tools and packages.

Microsoft

Microsoft is partnering with Anaconda to seamlessly integrate Python into Excel, providing users with direct access to Python functionality through built-in connectors and Power Query.

Anaconda is a data science and artificial intelligence platform founded in 2012 by Peter Wang and Travis Oliphant. The company's flagship product, Anaconda, is an open-source distribution that includes over 720 Python and R libraries, frameworks, and tools for data science, machine learning, and scientific computing. As of December 2016, Anaconda had been downloaded 11 million times, with the number growing rapidly to 13 million by February 2017. The platform's core offering is a package management system called conda, which simplifies the installation and management of data science libraries and their dependencies.
Anaconda's Data Science & AI Workbench provides a comprehensive environment for data scientists and analysts. It offers features such as one-click deployment, access to open-source libraries through Anaconda's Premium Repository, and the ability to train and deploy AI projects in a secure platform. The Workbench includes GPU-enabled workflows, disaster recovery capabilities, and an AI assistant for coding support. It also provides administration and governance features like Single Sign-On (SSO), Role-Based User Access Controls (RBAC), and Prometheus integration for compliance and resource management.
Key customers and partnerships
Anaconda has gained significant traction in the data science community, with over 40 million users as of December 2022. The platform has been adopted by major technology companies such as IBM, Intel, and Microsoft, which have incorporated Anaconda into their machine learning and deep learning packages. Anaconda's user base spans various industries, including academia, where it has become a staple tool for data science education and research. The company's success in attracting users and forming partnerships with tech giants has contributed to its rapid growth and establishment as a leading platform in the data science ecosystem.

Anaconda is a Python distribution and platform that provides access to thousands of open-source data science and machine learning packages through its repository.&nbsp; Its key offering is the On-Premises Large Language Model (LLM) solution, which enables organizations to create and deploy custom GenAI applications within their own infrastructure. This approach ensures data security and compliance by allowing sensitive information to remain on-site.&nbsp;The On-Premises LLM is part of Anaconda's Data Science and AI Workbench, providing users with access to open-source LLMs that can be tailored to specific use cases. Additionally, Anaconda's Professional Services team offers implementation support to ensure successful deployment and integration of these models.As of 2024, Anaconda's platform allowed users to access cloud-hosted Anaconda Notebooks, a browser-based interactive development environment that comes pre-configured and ready to code. Through Anaconda Business, organizations could implement security controls like package filtering, policy management, and vulnerability monitoring.&nbsp;The platform also included ClearScape Analytics, an engine for deploying end-to-end AI and machine learning solutions. In March 2024, Anaconda expanded its terms of service to require paid licenses for government entities and non-profit organizations with over 200 employees, except when used for teaching classes.&nbsp;Key customers and partnershipsAs of&nbsp;<a href="https://www.anaconda.com/#:~:text=45,M">November 2024</a>, the platform served approximately 45 million users, 1.8 million developers and contributors, and 1 million organizations. Notable customers included Meta, Biorad, Citi, and the European Commission.In April 2024, Anaconda partnered with Teradata to integrate Python and R packages from the Anaconda Repository into Teradata VantageCloud, enabling enterprises to deploy large-scale data science and AI/ML use cases. The partnership gave Teradata VantageCloud Lake customers access to Python packages from the Anaconda Repository at no additional cost, with R packages planned for release by the end of 2024.&nbsp;In July 2023, Anaconda released Python capabilities for Microsoft Excel users through Anaconda Toolbox, allowing them to run Python code locally on their PCs without relying on Microsoft Cloud.

Founded in Israel, NeuReality specializes in providing hardware infrastructure to streamline computation processes to accelerate the development of AI applications. Its technology assists AI inferencing deployment by offering a comprehensive system solution that seamlessly supports a vast array of deep learning models.NeuRealitys’ infrastructure includes an architecture called the Network Addressable Processing Unit (NAPU) to maximize the capabilities of Deep Learning Accelerators (DLAs). This design facilitates inference through purpose-built NAPUs that are specifically crafted for AI inference tasks, enhancing performance and efficiency.The NR1 AI Inference Solution by NeuReality is a comprehensive system comprising architecture, hardware, and software platforms. Launched in November 2023, it intends to simplify the installation, utilization, and management of AI, making it accessible and manageable for users.The hardware offerings of the solution include,1. NR1 Network Addressable Processing Unit : A network addressable inference Server-on-a-Chip with an embedded Neural Network Engine, which is a workflow-optimized hardware device with specialized processing units, native network capabilities, and virtualization capabilities2. NR1-M™ AI Inference Module : A full-height, double-wide PCIe card containing one NR1 Network Addressable Processing Unit (NAPU) system-on-chip and a network addressable Inference Server that can connect to an external Deep Learning Accelerator (DLA)3. NR1-S AI Inference Appliance : An optimized design for an inference server that contains NR1-M modules with the NR1 NAPU, which enables disaggregated AI service in a scalable and efficient architectureThe software component of the solution is designed to be compatible with any trained model from any development environment. It includes tools that handle the entire AI pipeline and enable seamless connection of AI workflows to any environment.NeuReality differs from traditional AI chip connectivity in replacing CPU-centric support with an AI-centric platform. This allows components to communicate directly with AI accelerators, eliminating the need for commands to pass through a central processing unit. Additionally, the technology enables AI accelerators to connect with each other, enhancing efficiency and performance in AI applications. It also claims its AI-centric approach reduces complexity, cost, and power usage. The firm claims it can reduce inference costs by 90%.Key customers and partnershipsIn November 2021, NeuReality teamed up with IBM to develop advanced AI inference technology by enhancing its NR1 chip and system for use in IBM's Hybrid Cloud.In September 2021, the company partnered with Xilinx to develop AI-centric platforms that improve real-world AI applications. This collaboration was intended to focus on NeuReality's AI-centric inference platform NR1-P and address existing issues with AI deployment including cost and complexity.

NeuReality

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 Accubits is an AI and BLOCKCHAIN focused development and solutions company based in Washington DC with its development offices in India and Dubai. Pioneering as a custom Blockchain solutions provider delivering solutions ever since 2012, Accubits is one of the oldest and experienced Blockchain dev house in the market and is featured as one among the top 13 Blockchain companies in India by INC42. We are a big family of engineers, innovators, inventors and many others continually working to help our customers in leveraging their business and adding value to their lives. Over the past 6 years, We have delivered more than 600 projects, for over 200 clients worldwide. Several of Fortune 500 companies in sectors from Retail to Health are being powered by our solutions to streamline and leverage their growth.Our portfolio for AI solutions includes intelligent conversational tools, RPAs, CRMs, SIPs, real-time video and image analytics systems, state of the art ALPR systems and many more being used enterprises, startups across North America, Canada, Middle East, Hong Kong, Singapore, Indonesia, India &amp; Sweden. Our portfolio of Blockchain development includes custom DApps and smart contracts, crypto token and exchange development, integrated blockchain services and ICO platforms.
 
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Accubits

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 LeewayHertz is a leading software development company delivering tailor-made digital solutions to businesses worldwide. Our team of 250+ full-stack developers, designers and innovators has designed and developed 100+ digital solutions across industry verticals. As a close-knit team of AI and web3 experts, designers and full-stack developers, we undertake collaborative research and development to create next-gen applications and solutions perfectly suited to the evolving tech space. As a technology pioneer with deep knowledge and expertise in AI, blockchain and other advanced technologies like IoT, LeewayHertz believes in helping companies overcome their most complex tech challenges and drive business growth. Our motto, &lsquo;You Dream It: We Build It,&rsquo; reflects our business philosophy. From putting flesh on your idea to delivering the expected end product, we do whatever it takes to make your project successful. Having worked with 30+ top fortune 500 companies and created various on-demand solutions, we boast an impressive work portfolio demonstrating our expertise.
 
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LeewayHertz

Databricks, a data and AI company established by the original developers behind prominent Big Data solutions such as Delta Lake, Apache Spark, and MLflow, and provides organizations with AI and data analytics tools for efficient management of their data.&nbsp;Databricks' primary product is the Databricks Lakehouse platform, a unified data intelligence platform that merges a data warehouse and data lake to provide developers with efficient access to data and enables enterprise customers to create their AI models—similar to a ChatGPT-style AI system—using only their internal data.&nbsp;Databricks Unity Catalog, part of the Databricks Lakehouse Platform, provides unified governance for structured and unstructured data, machine-learning models, notebooks, dashboards, and files across various environments, offering automated monitoring, proactive alerts, and seamless data sharing through Delta Sharing integration. Furthermore, Databricks offers an open architecture that streamlines the AI development process, allowing the integration of various LLMs such as Llama 2, Azure OpenAI, and Anthropic, enabling customization with enterprise data for tailored model creation. In&nbsp;<a href="https://sp-edge.com/updates/28436">April 2024</a>, Databricks introduced its Data Intelligence platform for energy to use AI technology to process large data for energy companies. Following this, the company added synthetic data capabilities for AI agent evaluation in&nbsp;<a href="https://sp-edge.com/updates/37008">December 2024</a>.Notably, Lakehouse leverages NVIDIA technology for accelerated data processing and AI model generation. Databricks also offers industry-specific solutions like Databricks Lakehouse for Healthcare, Financial Services, Retail, and Manufacturing.Databricks has expanded its offerings through multiple acquisitions, including MosaicML (<a href="https://sp-edge.com/updates/19683">July 2023</a>), Arcion (<a href="https://sp-edge.com/updates/23041">October 2023</a>), Okera (<a href="https://sp-edge.com/updates/18197">May 2023</a>), and Datajoy (October 2022).&nbsp; Key customers and partnershipsAs of November 2024, Databricks served a global customer base of more than 10,000 organisations, including Comcast, Conde, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.Databricks collaborates with over 1,200 global cloud, ISV, and consulting partners to deliver data, analytics, and AI solutions, supporting customers in scaling their projects.Notable partnerships include collaboration with AWS in&nbsp;<a href="https://sp-edge.com/updates/34884">October 2024</a> to leverage AWS Trainium chips as the preferred AI chip to power Databricks' Mosaic AI model training and serving capabilities.&nbsp;Databricks also partnered with Karini AI in&nbsp;<a href="https://sp-edge.com/updates/33687">September 2024</a> to accelerate GenAI deployment for enterprises.&nbsp;

Databricks

Labelbox offers a data-centric AI platform for enterprises, enabling them to develop, optimize, and use AI to solve complex problems and power new products and services.&nbsp;&nbsp;Labelbox’s platform offers capabilities for building, optimizing, training, fine-tuning LLMs, and AI-enabled data labeling automation.&nbsp;Its products include&nbsp;1) Catalog: A platform for building AI applications with features such as advanced search capabilities and optimizing data for labeling budgets2) Annotate: A data labeling solution designed to streamline and accelerate labeling operations using automation tools and pre-labeling techniques(3) Model: Offers tools for data enrichment, model-assisted labeling, and custom Foundry Apps to automate data management tasks and improve AI model performance&nbsp;&nbsp;(4) Boost: Offers fully managed tailored solutions such as on-demand data labeling services to enhance AI development speed and efficiency.&nbsp;As such, Labelbox enables companies to streamline the fine-tuning and alignment of LLMs and enables the validation of outputs through techniques such as reinforcement learning with human feedback (RLHF), reinforcement learning from AI feedback (RELIEF), and evaluation. This incorporation of human expertise ensures more accurate, contextually relevant, trustworthy, and secure results from LLM systems.The platform is offered through a SaaS subscription model with packages ranging from free subscriptions with limited usage and custom pricing for enterprises.Key customers and partnershipsThe firm's solutions have use cases across diverse industries, including retail, consumer internet, healthcare, manufacturing, and financial services. Labelbox has a large portfolio of customers, including NASA's Jet Propulsion Laboratory and Blue River Technology, a smart AgriTech company that used Labelbox's model-assisted labeling suite to enhance its See &amp; Spray technology in smart agriculture, resulting in herbicide cost savings of 70%–80. Labelbox's customers also include several Fortune 500 companies, such as Walmart, P&amp;G, Audi Adobe, Airbnb, Bayer, and Bosch.Key partnerships include a long-term collaboration with <a href="https://sp-edge.com/updates/21770">Google Cloud </a>to facilitate digital transformations in retail, consumer internet, financial services, and manufacturing and logistics.&nbsp;

Labelbox

Integrated solutions that handle various processes such as model training, fine-tuning, model deployment, monitoring, and maintenance in working with and deploying LLMs

Platforms that provide hardware such as high-performance CPUs, GPUs, or TPUs, including cloud-based solutions that are commonly used to train and run GenAI models efficiently

Platforms that store and retrieve training data in vector databases for access during the model training phase

Services to deploy GenAI models (on-premises or cloud-based) into production environments and integration tools to support existing systems and workflows

Ongoing monitoring of GenAI models to ensure performance. Includes regular model retraining, performance optimization, and troubleshooting

Platforms that assist in designing and refining prompts or instructions to GenAI models to get the desired responses or outcomes

Platforms that enable safe, responsible, and ethical GenAI deployment, ensuring compliance with regulations and/or protection against GenAI-based cybersecurity threats.

All services offered by these companies provide support to AI/ML

NLP is a key component of generative AI which is the core focus of this hub.

All companies within this space are offering infrastructure for generative AI

Generative AI infrastructure hub covers companies that deploy and run these foundation models.

PROMINENT_CATEGORY

<div>
 Anaconda Inc., an AI, data science, and machine learning company, has released AI Navigator, a free desktop application for Windows or Mac devices. The AI Navigator allows users to work with large language models (LLMs) without needing to export private information to external cloud services.
 The application provides access to more than 200 pre-trained AI models, including over 50 models with different quantization levels that adapt to various hardware configurations. User interaction is facilitated through an intuitive interface which allows browsing, downloading, and utilization of the models. AI Navigator also has a built-in chat function and an API inference server for integration with other applications.
 The company estimates about 10,000 users use the AI Navigator for code generation and debugging. This use has reportedly increased platform launch speeds by 300%. AI Navigator is available for download on both Mac and Windows desktop platforms.
 
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Anaconda

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