New Mountain Capital is a firm that deals in private equity and growth capital investments across acyclical industries. The firm emphasizes growth and business building rather than high risk or debt leverage in its investments. The firm's public equity arm, Vantage, applies New Mountain's research and business-building strengths to non-control positions in publicly traded companies. New Mountain oversees approximately $15.0 billion of capital across four private equity funds plus Vantage and NMFC.

New Mountain Capital

Vestar Capital Partners is a middle-market private equity firm specializing in management buyouts, recapitalization, and growth equity investments. Headquartered in New York, with offices in Denver and Boston, we invest in companies with valuations from $100 million to $1 billion.  Our target equity investment is $50 million to $150 million. Since our founding in 1988, Vestar has maintained a prudent, long-term approach to investing that has served us well throughout numerous business and economic cycles.  We have completed 78 investments, in companies with a total value of more than $40 billion. We credit much of our success to a strong culture of partnership both within the firm and with our portfolio company management teams.  We value transparency and collaborative decision-making.  And with four founders continuing to manage the firm, we know first-hand the entrepreneurial spirit that drives our management teams to want to run a business as their own. Supporting that spirit has been the business of Vestar for over 25 years.

Vestar Capital Partners

MachineVantage (www.machinevantage.com) applies proprietary artificial intelligence algorithms and machine learning techniques to extract product innovations, brand semiotics, creative inspirations, and digital and retail point of sale messaging. MachineVantage's artificial intelligence and machine learning technologies are developed ground-up for marketing professionals, branding and advertising agencies, and product innovators in packaged goods, retail, financial services, health and beauty, food and beverages, and automotive.

IRI is a market research company that specialized in the development of big data and predictive analytics solutions. IRI is a leader in delivering powerful market, consumer and media exposure information, predictive analytics and the foresight that leads to action. IRI go beyond the data to ignite extraordinary growth for their clients in the CPG, retail and over-the-counter health care industries by pinpointing what matters and illuminating how it can impact their businesses.

<div>  <p>    IRI is a market research company that specialized in the development of big data and predictive analytics solutions. IRI is a leader in delivering powerful market, consumer and media exposure information, predictive analytics and the foresight that leads to action. IRI go beyond the data to ignite extraordinary growth for their clients in the CPG,retail and over-the-counter health care industries by pinpointing what matters and illuminating how it can impact their businesses.  </p></div>

IRI Adds Signature Detection and Redaction to DarkShield

Data Infrastructure & Analytics

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.

Deriving insights from uncommon data streams

Alternative Data

Generated by sensors. Satellite imagery captures objects on the ground (e.g., cars in a parking lot and ships at a port), lights, pollution, and particulate matter in the air.

Generated by sensors. Collected by a variety of sensors and has many uses including agriculture and other commodities sensitive to the weather.

Generated by sensors. Data gathered from the GPS, Wi-Fi, or Bluetooth signals on mobile phones or other electronic devices, which can be used to track consumer movement such as high footfall areas, time spent at specific locations, and routes.

Generated by individuals. Includes website usage (e.g., time spent on a website, actions, and volume of queries), mobile app usage, social sentiment (based on social media posts, news, videos, and online interactions on social media), product reviews, and surveys.

Generated by individuals. E-receipts gathered from consumers on an opt-in basis provide data on user purchases and product demand. Data are anonymized and provided to corporations for targeted marketing.

Generated by businesses. Credit/debit card transaction and POS system data are structured and sought after and are used to track retail and business spending (e.g., sales volumes and prices).

Generated by businesses. Data sources used to assess consumers' creditworthiness such as income and employment information, consumer banking data, payments to specialty lenders, utilities payments, rental payments, and peer-to-peer lending records. Other data types include local prices, business banking records, commercial transactions (e.g., shipping container receipts), supply chain data, and government and corporation data.

Firms that acquire individual data streams and bundle them for sale to investors or structure/analyze the data to create data products for sale to investors.

IRI

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