It all began in 2003, with a conversation outlining the inefficiencies in Angel investing in addition to the difficulties entrepreneurs face while raising start-up capital. Few investment groups specialize in investing $50k to $2 million in early-stage companies and even fewer bring a broad value-add network to support entrepreneurs. The Seraph Investor Network was founded with the vision of providing capital and support  in an expedient and efficient manner without geographic prejudice. Our Investor Network reaches 91+ cities and spans three continents. The reach provides valuable expertise to entrepreneurs and investors.  Seraph Group is comprised of a diverse group of business leaders, entrepreneurs, and technology leaders across wide array of different industries. By leveraging this expertise, Seraph Group is able to evaluate and invest in venture scalable opportunities across most industries. Investments range from $50K to $1.5 million and can participate along any financing stage of the company. While Seraph Group is comprised solely of angel investors, the investment process mimics a traditional venture capital firm where there is a fund managed by a small investment team. This pool of smart capital brings singular access to a prestigious group of individuals that are all invested in an entrepreneur's business and its success.  In today' market, companies have proven that only a relatively small amount of capital infusion, under $1 million, is enough to build a venture scalable business. However, most entrepreneurs will attest, that raising $500K to $1.5 million, is the hardest amount of capital to raise because it is too small for traditional venture firms. Seraph Group's focus is to fill this unmet need in the market for professional, smart capital.  The primary investment criteria for companies raising money is for it to be a venture-scalable business and not a life-style business. Seraph Group will consider investing in any round of financing and has often invested alongside later-stage venture firms.

Seraph Group

Capital Factory is a venture capital firm and an accelerator that seeks to invest in seed-stage, early-stage, and later-stage companies. It accelerates companies in the software, media, and technology sectors. With boots on the ground in Austin, Dallas, and Houston, the firm meets entrepreneurs in Texas and introduces them to their first investors, employees, mentors, and customers.  In 2009, Sam Decker, Joshua Baer, and Bryan Menell co-founded Capital Factory in Austin, Texas.

Capital Factory

Lontra Ventures is a boutique consulting, advisory and seed stage investment firm dedicated to improving the performance of life science and technology companies. The firm was founded in 2008 and is based in Austin, Texas.

Lontra Ventures

Tensility Venture Partners is a seed-stage firm that partners with mission-driven founders of early-stage enterprise AI startups in security, digital health, and novel, vertical-applications. The firm seeds and grows companies that will revolutionize business by delivering the promise of AI to the enterprise. It invests in cybersecurity, digital health, and vertical industry applications. Founded in 2016, Tensility Venture Partners is headquartered in Chicago, Illinois.

Tensility Venture Partners

Velar Capital is early-stage VC firm focusing on enterprise applications and IT infrastructure.

Velar Capital

Drive Capital invests in innovative technology, healthcare, and consumer companies in the Midwest. The firm is looking for innovative entrepreneurs addressing big market opportunities. Its goal is to partner with entrepreneurs that have audacious goals and strive to build large sustainable companies. The firm seeks to invest in information technology, financial services, and mobile sectors. It was founded in 2012 and is headquartered in Columbus, Ohio.

Drive Capital

TTV Capital is a venture capital firm focused on early stage fintech.  Founded in 2000 and headquartered in Atlanta, TTV makes B2B and B2C investments in categories across the financial technology landscape.  Our distinct approach combines deep industry knowledge with connections, resources, and founder-friendly relationships.  TTV’s portfolio includes more than 100 market leaders and emerging pioneers across payments, banking, investing, crypto, embedded finance, among others.

TTV Capital

SAV(Scale Asia Ventures) is a Palo Alto-based early-stage venture fund focused on Enterprise Software, Data-driven Life Sciences, and AI-powered Vertical Industries. Fund backers include institutional funds, prominent family offices, and publicly-traded conglomerates in the U.S as well as S. Korea, Japan, and Singapore. SAV is committed to providing its portfolios with strong U.S. and Asia market expertise and a unique global network of strategic corporate partners.

SAV (Scale Asia Ventures)

Tech Square Ventures is an Atlanta-based early-stage venture capital firm investing in enterprise, marketplace, platform, and tech-enabled service companies. We are a team of founders, operators, and investors that partner with visionary entrepreneurs to help them with what they need most – access to markets and customers. Our platform is built on a strategic network of innovation ecosystem and corporate, and university relationships that help founders inform and accelerate go-to-market strategies.

Tech Square Ventures

FeatureBase

FeatureBase builds data virtualization software to secure access to large datasets. It also helps clients to perform time-based sharding to capture streaming data and perform segmentation based on historical data or time ranges. The company was founded in 2017 and is headquartered in Austin, Texas.

<div>FeatureBase builds data virtualization software to secure access to large datasets. It also helps clients to perform time-based sharding to capture streaming data and perform segmentation based on historical data or time ranges. The company was founded in 2017 and is headquartered in Austin, Texas.</div>

Data Infrastructure & Analytics

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 FeatureBase builds data virtualization software to secure access to large datasets. It also helps clients to perform time-based sharding to capture streaming data and perform segmentation based on historical data or time ranges. The company was founded in 2017 and is headquartered in Austin, Texas.
 
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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

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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

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 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.
 
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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.

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

FeatureBase

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