Bain Capital Ventures invests in seed to growth-stage startups that are using tech to disrupt existing markets or create entirely new ones.  The firm invests from seed to growth in enterprise software, infrastructure software, and industries being transformed by data.  Bain Capital Ventures has helped launch and commercialize 200-plus companies since 2000, including investments in DocuSign, Jet.com, Kiva Systems, LinkedIn, Rapid7, SurveyMonkey, Taleo, and TellApart. Bain Capital Ventures has more than $5.2 billion of assets under management with offices in San Francisco, New York, and Boston.

Bain Capital Ventures

Green D Ventures is a community of accredited Dartmouth alums who pool money into a VC fund to invest in Dartmouth-connected companies. Simply put, they believe they can invest better together than they can alone. They create a diverse portfolio for their investors, co-investing with leading VC funds across industry, stage, and geography. Their goal is to raise a new fund each year that benefits entrepreneurs, the school's ecosystem, and their investors.

Green D Ventures

Madrona Venture Group is a Seattle-based venture capital firm. The firm prefers to invest in businesses that are involved in information technology, e-commerce, digital media, advertising, software, gaming, data, analytics, mobile, and infrastructure.

Madrona

Alumni Ventures Group provides high-quality, diversified venture portfolios to individual investors who previously haven't had access to VC. It helps accredited alums from top entrepreneurial schools invest together in the ventures of fellow alums. The firm backs companies with an alumni connection and an institutional lead investor with expertise in the space. AVG also offers focused funds that allow any accredited investor access to a venture portfolio, diversified by type, sector, stage, and geography. Beth Obermiller, Michael Madden, and Mike Collins co-founded the firm in Manchester, New Hampshire in 2013.

Alumni Ventures

M12 - Microsoft’s venture fund, invests in early-stage enterprise software companies with a focus on AI, cloud infrastructure, cybersecurity, developer tools, vertical SaaS, and Web3/Gaming. Since 2016, M12 has invested in over 100 companies, helping startups accelerate growth with unparalleled access to Microsoft.

M12 - Microsoft's Venture Fund

Mango Capital is a venture capital company. The company prefers to invest in seed/early-stage companies in the enterprise software sector. Mango Capital is headquartered in San Francisco Bay Area, West Coast and was founded in 2018.

Mango Capital

Shield Capital is a venture capital firm that invests in founders building frontier technologies. Shield Capital is a team of veteran investors, founders, and national security leaders focused on helping founders build solutions in cybersecurity, AI, space, and autonomy for commercial and government enterprises.

Shield Capital

MongoDB Ventures a strategic investment fund to empower innovators who help solve the growing challenges.

MongoDB Ventures

Menlo Ventures provides capital for multi-stage consumer, enterprise, and life sciences technology companies. Since 1976, the firm’s market-driven analysis has led to the identification of opportunities and successful investments in innovative markets. Notable areas of investment include Marketplaces (Uber, Rover.com, Poshmark); Consumer Services (Tumblr, Betterment, Roku, Siri); Dev/Ops (Harness, Edge Delta, Fire hydrant); SaaS (Carta, ScoutRFP, Qualia, Benchling, Everlaw); Fintech (Betterment, Bluevine, Chime); Cybersecurity (Cavium, IronPort, BitSight, Abnormal, StackRox); and Life Sciences Technology (Synthego, Cofactor Genomics, Recursion Pharmaceuticals, 3T Biosciences). Menlo’s portfolio includes more than 70 public companies, and more than 100 mergers and acquisitions, with $5 billion under management. The firm is currently investing in Menlo Ventures XV, a $500 million early-stage fund, as well as its $500 million Inflection Fund, which targets early-growth investments.

Menlo Ventures

IBM Ventures is IBM’s venture capital fund. We invest in early-stage enterprise software startups building innovative technologies for the enterprise. To us, that means investing in broad trends that are strategically relevant to the future of IBM – across AI, data, cybersecurity, quantum computing, and sustainability. We are doubling down on our vision of an open and trusted future for enterprise AI with our announcement of a USD 500 million Enterprise AI Venture Fund. While we’ll continue to invest in non-AI related industries, we wanted to underscore our commitment to accelerating AI technologies for the enterprise. At our core, we are laser-focused on investing in, partnering with, and helping build the next generation of great enterprise technology companies – in AI and beyond.

IBM Ventures

Databricks Ventures invests in innovative companies that share our view of the future for data, analytics and AI. Databricks' inaugural initiative, the Lakehouse Fund, is focused on early and growth-stage companies that are extending the lakehouse ecosystem or using the lakehouse architecture to create the next generation of data and AI-powered companies.

Databricks Ventures

NVentures is the venture capital arm of NVIDIA.

NVentures

Unstructured Technologies

Unstructured develops an open-source data transformation platform to preprocess natural language data for machine learning services. Its open-source libraries and APIs build custom preprocessing pipelines for labeling, training, or production machine learning pipelines. By automating the transformation of complex natural language data found in formats like PDFs, PPTX, HTML files, and more, the company enables enterprises to utilize the full power of their data for increased productivity and innovation.

<div>Unstructured Technologies transforms natural language data from raw to machine learning-ready. Its open-source libraries and APIs build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.</div>

Data Infrastructure & Analytics

<div>Unstructured specializes in developing open-source libraries and APIs to construct custom preprocessing pipelines for labeling, training, or production machine-learning pipelines.&nbsp;</div>

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

Unstructured

<div>
 
 Unstructured Technologies transforms natural language data from raw to machine learning-ready. Its open-source libraries and APIs build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
 
</div>

Fivetran is a cloud-based automated data integration platform that enables businesses to move data from various sources, including SaaS applications, databases, and files, into data warehouses, data lakes, and other destinations. The company's platform offers multiple deployment models to meet diverse business needs, ranging from stringent security requirements to maintaining on-premises databases even after partial cloud migration.The company's data movement platform is designed to automate and streamline the process of extracting, loading, and transforming (ELT) data, empowering organizations to focus on data-driven insights and decision-making. With real-time analytics, database replication, AI workflows, and cloud migrations facilitated by Fivetran, thousands of customers worldwide can leverage the platform to drive business growth.Fivetran's core offering revolves around its connector library, which supports over 500 data sources, including SaaS applications, databases, ERPs, and files. These connectors enable automatic, reliable, and secure data movement, regardless of whether the data resides on-premises, in the cloud, or in a hybrid environment. The platform's scalable architecture allows businesses to seamlessly add or remove data sources as their needs evolve.To enhance the usability and accessibility of the ingested data, Fivetran employs a normalized schema approach. By delivering data in a normalized format, the platform enables customers to remix and reshape the data according to their specific requirements, facilitating efficient data analysis and reporting. Additionally, Fivetran offers pre-built data models and dbt Core integration, empowering customers to create analytics-ready tables tailored to their business use cases, such as analyzing deal opportunities from Salesforce, generating general ledger reports from QuickBooks data, or evaluating return on ad spend across advertising platforms.In <a href="https://sp-edge.com/updates/30203">June 2024</a>, the company launched Managed Data Lake Service to simplify the process of managing data lakes for businesses of any size. Key benefits include the ability to centralize data for insights and convenience. Furthermore it reduces costs by discontinuing support for legacy data warehouses.Key customers and partnershipsOver the years, Fivetran has attracted a diverse range of customers across various industries, including ecommerce, finance, technology, and media. Notable clients include Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, among others. These companies leverage Fivetran's platform to streamline their data integration workflows, optimize their analytics capabilities, and gain a competitive edge through data-driven decision-making.To further enhance its offerings and enable seamless integrations, Fivetran has established strategic partnerships with various technology providers, including data warehousing solutions, cloud platforms, and business intelligence tools. For instance, Fivetran collaborates with Databricks, enabling customers to build an open lakehouse with Delta Lake powered by the Databricks Data Intelligence Platform. Additionally, Fivetran's integration with Unity Catalog provides out-of-the-box governance and security for Fivetran-generated tables.

Fivetran

<div>
 
 Domo is a cloud-based analytics platform that enables businesses to connect, transform, and visualize data from various sources. It provides a comprehensive solution for data management, analysis, and visualization, empowering organizations to make data-driven decisions. Domo's platform is designed to foster collaboration, efficient decision-making, and improved business outcomes through its user-friendly interface and powerful data manipulation capabilities.
 
 
 Domo's key offerings include data integration, data warehousing, business intelligence (BI), and intelligent applications. The platform leverages its Adrenaline engine and offers over 1,000 pre-built connectors to extract data from cloud applications, databases, spreadsheets, and other sources. This data is then stored in Domo's internal data warehouse or accessed through federated queries, enabling users to analyze and visualize it using Domo's extensive collection of visualization tools and dashboards.
 
 
 Domo&rsquo;s user experience is designed to be intuitive and accessible, fostering high adoption rates across organizations. Its user-friendly interface, seamless collaboration features, and mobile-first approach contribute to its widespread adoption and ease of use. Domo's platform is built for speed and scalability, allowing organizations to quickly access and analyze even large datasets without experiencing performance issues.
 
 
 Key customers and partnerships
 
 
 Domo serves over 2,300 customers across various industries, including major enterprises such as eBay, Walmart, Cisco, Citibank, HP, The National Geographic Society, Verizon, US Army, Vanguard, Microsoft, IBM, Thomson Reuters, Airbus, Orange, AT&amp;T, Caterpillar, Volvo Cars, and Comcast.
 
 
 The platform has been widely adopted by organizations seeking to leverage data for better decision-making, improved customer insights, and enhanced marketing analytics. Domo has formed strategic partnerships with companies like Regional One Health and Torchy's Tacos, enabling them to leverage Domo's capabilities for healthcare metrics and finance applications, respectively.
 
</div>

Domo

<div>
 
 Confluent streams real-time data to its customers via its data processing system software, Apache Kafka. This system is a publish-subscribe distributed messaging system that receives data and makes it available in real time to target systems. Using Apache Kafka, Confluent provides its customers a complete cloud native platform for data to be accessed anywhere. Its products are the Confluent Cloud, which has pricing options for every budget, and the Confluent Platform, a self-manageable platform. The company has office locations in the US and UK.
 
</div>

Confluent

<div>
 
 dbt Labs provides an open source data transformation tool that uses analytics engineering. It is aimed at programmers with knowledge of SQL to develop models with SELECT statements, test and document each model, and install safely with Git-enabled version control. The software enables the user to develop faster, work from the same assumptions, deploy with confidence, and&nbsp; ensure low risk with governance and safety. The company also offers dbt Core, which is an open source software for analytics engineers, and dbt Cloud Enterprise for secure, reliable access to data. JetBlue and Domain are some of its clients.
 
 
 
</div>

dbt Labs

<div>
 
 Starburst uses the open source Trino to give its customers a modern solution in the form of one of the fastest analytics search engines, with reliable security, around the clock support and connectors. The platform offers Starburst Enterprise, an option that allows users to deploy, connect, and manage data anywhere, and Starburst Galaxy, which provides a superior MPP SQL engine on an easy to use platform. Some of Starburst&rsquo;s customers are EMIS, Zalando, Finra and Priceline. The company also works with consultancy partners, cloud partners, technology partners, and managed service provider partners.
 
</div>

Starburst

Solutions to unify data from disparate sources by extracting, transforming, loading, and storing data in a usable form (such as in data warehouses) for further analysis.

Tools to monitor data for quality issues in real-time, as it moves throughout the data pipeline.

Providers of storage solutions that help accelerate data analytics. These include primary storage solutions, such as data warehouses and data lakes, and secondary storage solutions for non-mission-critical data.

Solutions that enable businesses to carry out data processing and create ML models on the underlying data for predictive analysis.

Tools for enterprises to visualize data in a graphical form and obtain insights on the same using AI and natural language processing.

Leverages GenAI to help organizations extract insights and supports GenAI application development through data preparation

Offers data analytics and storage platforms for business under a B2B SaaS model

These are tools that help prepare data for AI/ML applications

<div>
 
 Unstructured specializes in developing open-source libraries and APIs to construct custom preprocessing pipelines for labeling, training, or production machine-learning pipelines.&nbsp;
 
 
 Unstructured was established in 2022 by Brian Raymond, an analyst from the US Central Intelligence Agency. The development of Unstructured's technology involved collaborating with the open-source community, commercial enterprises, and select US government defense and intelligence organizations.&nbsp;
 
 
 The two key offerings of Unstructured Technologies are its Unstructured Enterprise Platform, Unstructured SaaS API, and RAG support. The Unstructured Enterprise Platform is a no-code solution for managing unstructured data to ensure it's continuously integrated into LLMs. The platform enables companies to transform their disorganized internal data into formats compatible with advanced AI models, such as ChatGPT and other chatbots capable of generating human-like responses and content. Its platform is uniquely designed to expedite the pre-processing of unstructured data, with a particular emphasis on natural language data.
 
 
 The Unstructured SaaS API facilitates the transformation of data for document preprocessing without the need for custom code. The API has the capability to process more than 20 different natural language file types, converting them into data ready for LLMs and enterprise-level data connectors. These data connectors include support for Azure Blob, Microsoft's OneDrive, Amazon Web Services (AWS) S3, Google's Cloud Storage and Drive, Dropbox, and Elasticsearch. Pricing is based on consumption, with a specific rate per hour of compute.
 
 
 In partnership with LangChain, Unstructured&rsquo;s RAG support service provides consultancy services led by Unstructured&rsquo;s engineers to provide advisory, and prototyping services to streamline the production and deployment of context-aware GenAI applications utilizing LangChain Retrieval-Augmented Generation (RAG) tools.
 
 
 Key customers and partnerships
 
 
 Unstructured Technologies serves a diverse range of sectors including finance, healthcare, logistics, energy, and government.&nbsp;
 
 
 The company has received Phase I and II Small Business Innovation and Research contracts from the US Air Force and Space Force.
 
 
 Unstructured Technologies also lent its services to the US Special Operations Command (SOCOM), which led to the creation of the first independent system using an LLM in conjunction with critical data for the US armed forces.
 
 
 Funding and financials
 
 
 In 
 <a href="https://sp-edge.com/updates/27620">
 March 2024
 </a>
 , the firm raised USD 40 million in Series B funding led by Menlo Ventures. The funding was to be used to expand its team and for the development of its proprietary data preprocessing tools. In July 2023, it raised USD 25 million in a funding round led by Bain Capital Venture Associates LLC. The funds were earmarked for expanding the company's operations and enhancing its business reach, focusing on LLM data processing.&nbsp;
 
</div>

<div>
 
 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&rsquo; 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 capabilities
 
 
 2. 
 NR1-M&trade; 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 architecture
 
 
 The 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 partnerships
 
 
 In 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.
 
 
 Funding and financials
 
 
 In 
 <a href="https://sp-edge.com/updates/27745">
 March 2024
 </a>
 , NeuReality secured USD 20 million in funding led by The European Innovation Council (EIC) Fund. The funds were intended to accelerate the deployment of NeuReality&rsquo;s NR1AI Inference Solution.
 
 
 In December 2022, it secured USD 35 million in a Series A funding round led by Samsung Ventures, with Cardumen Capital, Varana Capital, OurCrowd, XT Hi-Tech, and others as participants. The funding was used to launch its flagship AI inferencing solution.
 
</div>

NeuReality

<div>
 
 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.
 
</div>

Accubits

<div>
 
 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.
 
</div>

LeewayHertz

<div>
 
 AI21 Labs is a creator of generative artificial intelligence and massive language models, as well as tools for creating artificial intelligence systems with extraordinary understanding and generation of natural language. The company's tool captures real intelligence and rewrites writing to say exactly what is meant; it transforms the way people read and write, empowering them in the process; it is an artificial intelligence-based writing companion that understands context and meaning; and it helps people read more efficiently by providing summaries, allowing customers to understand, analyze, and visualize abstract knowledge structures.
 
</div>

AI21 Labs

<div>
 
 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&mdash;similar to a ChatGPT-style AI system&mdash;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.
 
 
 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 partnerships
 
 
 As of July 2023, Databricks served a global customer base of approximately 10,000, including notable customers such as Comcast, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.
 
 
 Notable partnerships include collaboration with NVIDIA to incorporate NVIDIA TensorRT-LLM into its inference service and a partnership with Hevo-Data to automate data integration into the lakehouse for mutual customers (October 2022).
 
 
 Databricks also provides an LLM Mesh partner program; it has partnered with firms such as 
 <a href="https://sp-edge.com/updates/24218">
 Dataiku
 </a>
 where an emphasis is placed on comprehensive data access, enabling tight integration of GenAI applications with enterprise data.&nbsp;
 
 
 
 
 
 Funding and financials
 
 
 As of 
 <a href="https://sp-edge.com/updates/23839">
 September 2023
 </a>
 , Databricks completed a Series I funding round which saw participation from strategic partners like NVIDIA and Capital One Ventures and raised more than USD 500 million, with the company valued at USD 43 billion. Databricks planned to use the funding to develop its platform further and expand its reach in the AI and data analytics market​​​​​​.
 
</div>

Databricks

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 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

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 develop and implement strategies, policies, and practices to ensure the responsible, secure, ethical, and safe use of Generative AI technologies within an organization.

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.

<div>
 
 Data ingestion and preprocessing company, Unstructured, has successfully raised USD 40 million in a Series B financing round. The round saw participation from Menlo Ventures, Databricks Ventures, IBM Ventures, and NVentures, bringing the company's total funding to USD 65 million.
 Unstructured plans to utilize the newly acquired funds to expand its team and further develop its proprietary data preprocessing tools.&nbsp;
 Established in 2022, Unstructured provides data preprocessing solutions that help organizations in converting their unstructured data into formats that are compatible with LLMs. The company has developed a system that automates the transformation of natural language data from various sources such as PDFs, PPTX, and HTML files.

</div>

Unstructured

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