Toba Capital is an investment firm committed to helping create incredible technology companies. We specialize in business applications, IT, and internet infrastructure markets.

Toba Capital

Sapphire is a global software venture capital firm with more than $11 billion in AUM and team members across Austin, London, Menlo Park and San Francisco. For over a decade, Sapphire has partnered with visionary management teams and venture funds to back companies of consequence. Since its founding, Sapphire has invested in more than 170 companies globally resulting in more than 30 Public Listings and 45 acquisitions. The firm’s investment strategies — Sapphire Ventures, Sapphire Partners and Sapphire Sport — are focused on scaling companies and venture funds, elevating them to become category leaders. Sapphire’s Portfolio Growth team of experienced operators delivers a strategic blend of value-add services, tools and resources designed to support portfolio company leaders as they scale.

Sapphire Ventures

Insight Partners is a global software investor that partners with growth-stage technology and software companies. Insight has a deep focus in Fintech, Cybersecurity, AI/ML, DevOps, and Healthcare sectors. Across their people and their portfolio, they encourage a culture around a core belief growth equals opportunity. As of December 31, 2022, the firm has over $75B in regulatory assets under management. Insight Partners has invested in more than 750 companies worldwide and has seen over 55 portfolio companies achieve an IPO.

Insight Partners

ICONIQ Growth partners with exceptional entrepreneurs and leaders who drive global impact and change. The firm is inspired by visionaries defining the future of their industries by building company cultures that endure. ICONIQ Growth has a unique investment platform harnesses the power of ICONIQ Capital’s vibrant ecosystem of founders, pioneers, and business leaders with the goal of delivering tangible value and amplifying our portfolio companies’ success from early growth stage to IPO and beyond. ICONIQ Growth’s portfolio of innovators includes Adyen, AirBnB, Alibaba, Alteryx, Automattic, BambooHR, Braze, Chime, Collibra, Coupa, Datadog, Docusign, Gitlab, Marqeta, Miro, Procore, Red Ventures, Relativity, ServiceTitan, Snowflake, Sprinklr, Truckstop, Uber, Wolt, and Zoom, among others.

ICONIQ Growth

Meritech Capital provides late-stage venture capital to technology companies. It specializes in the fields of finance, venture capital, and late-stage investment management.  It was founded in 1999 and headquartered in Palo Alto, California.

Meritech Capital Partners

Alteryx

Alteryx, Inc. was formed in 2011 and is a leader in self-service data science and analytics. Alteryx provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.  Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.  Alteryx customers range from many of the world’s largest and best known brands, including Experian, Kaiser Permanente, Ford, and McDonald’s, to growing organizations such as Rosenblatt Securities, Veritix, and Consumer Orbit, who all use the power of data for a competitive edge. Alteryx was founded by Dean Stoecker, Alteryx CEO & Chairman; Ned Harding, Alteryx CTO; and Olivia Duane Adams, Alteryx Chief Customer Officer. It is funded by Insight Venture Partners, Iconiq Capital, Meritech Capital, SAP Ventures, Thomson-Reuters, and Toba Capital. Headquartered in Irvine, California, and with offices in Broomfield, Silicon Valley, Dallas, Chicago, Canada, the United Kingdom, Germany, Denmark, and Australia, Singapore, France and Japan.  Alteryx empowers over 3,500 customers worldwide.  Alteryx is a publicly traded company listed on the NYSE with the ticker symbol of AYX You can reach Alteryx from its website or by calling 1-888-836-4274. Alteryx is a registered trademark of Alteryx, Inc.

Alteryx is a data analytics company offering an “analytics cloud platform” focused on AI-powered automation. The platform is designed for users with varying technical skills, featuring a low-/no-code environment and drag-and-drop functionality. The company says its platform enables any user to evolve from basic report building to sophisticated data storytelling, fostering a more inclusive approach to data analysis.

Data Infrastructure & Analytics

Alteryx Announces Streamlined Enhancements for Hybrid Analytics Processes and Workflows

Google Cloud

Alteryx expands partnership with Google Cloud to offer Looker Studio users free access to AI-driven data preparation, improving data insights and decision-making.

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

Amazon

Alteryx, the Analytics Cloud Platform company, has introduced decision intelligence and intelligent automation capabilities on Amazon Web Services (AWS) to empower CFOs and finance leaders in utilizing cloud and data analytics as strategic tools for modernization.

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

PricewaterhouseCoopers

The partnership will combine Alteryx’s analytics, data science and process automation platform with PwC’s broad range of services to create faster insights for businesses.

Companies will be able to increase their innovation and growth by accelerating their development with automation and analytics, upskill their workforce across departments and empowering them to solve complex data processing challenges for increased business impact.

SS&C Technologies

Blue Prism partnered with Alteryx, an analytics automation company, to integrate analytics automation with robotic process automation and enable customers to automate data-driven processes at scale

Automation to improve business efficiency

Workflow Automation Platforms

Platforms that offer a range of workflow automation and RPA bots that are not specifically targeted at any business function

KPMG

Together, KPMG and Alteryx will leverage their knowledge and experience in shaping data strategies and delivering broad digital transformation initiatives to speed automation outcomes, modernize tax functions and establish governance and security.

HCLTech

HCL Technologies (HCL) and Alteryx, Inc. form a global strategic alliance to help companies across the globe succeed in their analytics automation and digital transformation priorities.

Alteryx is a data analytics company offering an “analytics cloud platform” focused on AI-powered automation. The platform is designed for users with varying technical skills, featuring a low-/no-code environment and drag-and-drop functionality. The company says its platform enables any user to evolve from basic report building to sophisticated data storytelling, fostering a more inclusive approach to data analysis.Alteryx released <a href="https://sp-edge.com/updates/29504">AiDN Copilot</a>, which is an AI assistant that enables the creation of analytical workflows. This allowed customers to have a conversational interface leading to efficiency and fostering of data insights. It also obtained a <a href="https://sp-edge.com/updates/30342">patent</a> for a feature engineering tool that automatically generates features for ML models.In December 2023, the company entered into a <a href="https://sp-edge.com/updates/24973">definitive agreement</a> to be acquired by global private equity firms Clearlake Capital Group and Insight Partners for USD 4.4 billion, which was completed in March 2024.In 2023, Alteryx generated revenue of USD 970 million and a net loss of USD 179 million.Key customers and partnershipsAs of December 2023, Alteryx reportedly served over 8,300 customers and collaborated with more than 400 partners in 90 countries. Some notable clients included McLaren, Adidas, and Siemens Gas &amp; Power.Key partnerships reported as of November 2023 included Snowflake for data science, AWS for cloud solutions, Databricks for bridging business and technical analytics, Tableau for enhanced data visualization, UiPath for process automation, and Google Cloud Platform for large-scale data analysis.

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

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 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.
 
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Domo

Founded in 2014, Confluent, Inc. is a technology company headquartered in Mountain View, California. The company specializes in data streaming platforms, primarily based on Apache Kafka, an open-source project created by Confluent's founders while working at LinkedIn. Confluent offers two main products: Confluent Platform, an on-premise solution, and Confluent Cloud, a fully managed SaaS. These products help organizations harness real-time data streams for various applications, including microservices, Internet of Things (IoT), financial services, fraud detection, and customer analytics.Confluent's primary offering in data infrastructure services is its integration solution, which enables organizations to unify data from disparate sources. The Confluent Platform and Confluent Cloud act as clients' central nervous systems, allowing them to connect various IT systems and applications to capture and process real-time data streams. This capability enables businesses to make decisions based on continuously flowing data.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33818">Confluent announced upgrades to its Confluent Cloud</a> product, enhancing support for Apache Flink. The updates include support for the Table API, simplifying development for Java and Python users, and private networking support to improve data security. These upgrades aimed to simplify Flink deployments, enhance security, and make it easier for organizations in regulated industries to stream data and integrate it into applications.Key customers and partnershipIn December 2023, Confluent expanded partnerships with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz as part of its "Data Streaming for AI" initiative. These partnerships aimed to provide real-time contextual data from Confluent's platform to partners' vector databases, facilitating the development of AI-powered applications.

Confluent

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 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.
 
 
 
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dbt Labs

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 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.
 
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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.

Companies that use GenAI as a core part of their product offering for data infrastructure & analytics.

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

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

PROMINENT_CATEGORY

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 Alteryx has secured a patent for an automatic feature engineering tool for machine learning (ML) models.
 The patent outlines a computerized method for data handling. This includes obtaining a dataset, selecting key elements based on that dataset, creating attributes, evaluating their importance through repeated analysis, assigning attributes importance, and developing a predictive machine-learning model.
 The method includes creating a detailed depiction of the dataset, using important elements to generate attributes, and ranking those attributes based on their significance. The patented system uses machine learning models to improve the selection and evaluation of attributes for data analysis and predictive applications.
 
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Alteryx

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