Accel is an early and growth-stage venture capital firm that powers a global community of entrepreneurs. Accel backs entrepreneurs who have what it takes to build a business.  Accel’s vision for entrepreneurship and business enables it to identify and invest in the companies that will be responsible for the growth of next-generation industries. Accel-backed companies include Atlassian, Braintree, Cloudera, DJI, Dropbox, Dropcam, Etsy, Facebook, Flipkart, Lookout Security, MoPub, Qualtrics, Slack, Spotify, Supercell, Vox Media, and others.

Accel

Notable Capital is named for the founders we invest with, the ideas they pursue, the causes they champion, and the remarkable companies they build. Notable is a U.S.-based venture capital firm focused on early-to-growth stage companies in cloud infrastructure and business and consumer applications across the U.S., Israel, Europe, Latin America, and select go-global opportunities. Notable portfolio companies include Affirm, Airbnb, Block, Brightwheel, Drata, Handshake, HashiCorp, Ibotta, Orca Security, Quince, Slack, Slice, StockX, Stori, Vercel, Zendesk, and more.

Notable Capital

Redpoint has partnered with visionary founders to create new markets and redefine existing ones since 1999. The firm invests in startups across seed, early, and growth phases. In total, Redpoint manages $4 billion across multiple funds.

Redpoint

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

Salesforce Ventures helps enterprising founders build companies that reinvent the way the world works. Since 2009, they’ve invested in and partnered with more than 400 of the world's tenacious enterprise software companies from seed to IPO, including Airtable, Databricks, DocuSign, Guild Education, Hopin, Monday.com, nCino, Snowflake, Snyk, Stripe, Tanium, and Zoom. Salesforce Ventures leverages decades of expertise in the cloud and long-term relationships with key decision-makers at thousands of businesses around the world to give portfolio companies an unfair advantage, help them build credibility, and accelerate growth.

Salesforce Ventures

IVP turns breakout companies into enduring market leaders. With a 40-year record of driving growth and 130+ IPOs, we’ve partnered with over 400 companies including Amplitude, Brex, Coinbase, Crowdstrike, Datadog, Discord, Klarna, Slack, Snap, and Twitter. As trusted allies, IVP helps founders and CEOs meet the challenge of leading a rapidly growing company. Its proven system bolsters functions including those that are sometimes overlooked and partners serve as trusted allies to companies seeking to realize their full potential.

GIC is a global investment firm established in 1981 to manage Singapore's foreign reserves. A disciplined long-term value investor, GIC is uniquely positioned for investments across a wide range of asset classes, including equities, fixed income, private equity, real estate, and infrastructure. GIC invests through funds and directly in companies, partnering with its fund managers and management teams to help world-class businesses achieve their objectives. In tech investing, GIC seeks to be a lifetime partner to the companies it invests in. GIC has investments in over 40 countries around the world. Headquartered in Singapore, GIC employs over 1,700 people across 10 offices in key financial cities worldwide.

Monte Carlo

Monte Carlo is a software company that helps organizations increase trust in data by eliminating and preventing data downtime. The company's platform resolves data problems, leading to stronger data teams and insights that deliver true business value, enabling clients to settle for unreliable data by stop wasting time on data fire-drills. Their mission is to accelerate the world’s adoption of data by reducing data downtime.  Monte Carlo was founded by Barr Moses and Lior Gavish in 2019 and is based in San Francisco, California, USA.

<div>Monte Carlo is a data reliability platform designed to discover and resolve inaccuracies in data analytics. The company&rsquo;s Data Observability platform uses machine learning to proactively identify data downtime and rectify it. The platform offers code-free implementation and seamless collaboration with existing data stacks, end-to-end observability, and end-to-end data coverage. Monte Carlo&rsquo;s platform is used across industries such as Technology, Online Marketplaces, Financial Services, Insurance, eCommerce, and Retail. Some of Monte Carlo&rsquo;s notable customers are Fox, Vimeo, PagerDuty, ThredUp, Kolibri Games, Hearst, Affirm, GoodRx, Shipt, Compass, and Pie Insurance.</div>

Data Infrastructure & Analytics

Monte Carlo Launches the Trusted Data for AI (TDAI) Advisory Council To Chart a Course for More Reliable AI Products

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 Monte Carlo is a data reliability platform designed to discover and resolve inaccuracies in data analytics. The company&rsquo;s Data Observability platform uses machine learning to proactively identify data downtime and rectify it. The platform offers code-free implementation and seamless collaboration with existing data stacks, end-to-end observability, and end-to-end data coverage. Monte Carlo&rsquo;s platform is used across industries such as Technology, Online Marketplaces, Financial Services, Insurance, eCommerce, and Retail. Some of Monte Carlo&rsquo;s notable customers are Fox, Vimeo, PagerDuty, ThredUp, Kolibri Games, Hearst, Affirm, GoodRx, Shipt, Compass, and Pie Insurance.
 
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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.
 
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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

<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.
 
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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.

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.

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

PROMINENT_CATEGORY

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 Data observability platform, Monte Carlo, has introduced GenAI Monitor Recommendations, the Data Operations Dashboard, and new integrations with Microsoft Fabric, Databricks Workflows, and Informatica. GenAI Monitor Recommendations employs GenAI to study data relationships and prescribe data quality rules, using Monte Carlo's Data Profiler engine to delve into sample data, query log data, and table metadata.
 The newly introduced Data Operations Dashboard enables users to supervise and account for the development of data quality projects, offering key metrics insights like incident response time, resolution time, the number of total incidents according to their severity, and the assigned incident handlers.
 New integrations with widely utilized ETL pipelines in enterprises such as Microsoft Fabric (Azure Data Factory), Informatica, and Databricks Workflows were also announced. These integrations aim to augment users' capacity to gain comprehensive visibility into data observability, giving them insights into their interaction with tables, dashboards, and reports.
 Monte Carlo claims that these innovations will secure data reliability for AI products and simplify the implementation of data quality rules.
 
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Monte Carlo

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