Welcome!

Artificial Intelligence Authors: Yeshim Deniz, Pat Romanski, Elizabeth White, Liz McMillan, Zakia Bouachraoui

News Feed Item

Chartboost Partners With Sequoia In $19 Million Series B

Chartboost now reaches 300 million monthly active devices powering six billion game sessions per month.

SAN FRANCISCO, Jan. 8, 2013 /PRNewswire/ -- Chartboost today announced a partnership with Sequoia Capital to accelerate its growth and further develop the business engine for mobile game developers so they can focus on building kickass games. The $19M round was led by Sequoia and included participation from existing investors TransLink Capital and SK Telecom Ventures. Chartboost allows game developers to reach new users through cross-promotion, make money from their games, and collaborate directly with fellow developers through the Direct Deals Marketplace.

"In a historically opaque industry, Chartboost is laser-focused on empowering developers with transparency and control over their businesses," said co-founder and CEO Maria Alegre. "We have big dreams for the future and we are thrilled to be partnering with Sequoia going forward."

The company also announced their technology now reaches more than 300 million monthly active devices powering six billion game sessions per month, establishing Chartboost as the world's largest mobile gaming technology platform. To further enhance its products, the company is aggressively expanding its team in the coming year. Interested applicants can apply here.

"Maria and Sean built Chartboost to solve problems they encountered in the mobile gaming space and embody the authenticity we look for in founders," commented board member Jim Goetz. "Their unique approach to app discovery and pro-developer mindset frees up studios large and small to do what they do best: make great games. We are excited to be part of the Chartboost team."

For more information about this announcement, please read Chartboost's official blog post at blog.chartboost.com.

About Chartboost
Chartboost is the leading games-only technology platform that helps developers reach more users and make more money. The company powers over 12,000 games, reaches over 300 million unique monthly devices and drives over six billion game sessions per month. Chartboost works with companies like Backflip, Booyah, Capcom, Com2us, Crowdstar, Gameloft, Gamevil, Get Set Games, GREE, Kabam, Kiloo, Natural Motion, Outfit7, Pocket Gems, Supercell, TinyCo and many more. Chartboost is based in San Francisco, was founded in 2011 and has raised a total of $21M from Sequoia Capital, TransLink Capital and SK Telecom Ventures. More information at www.chartboost.com.

About Sequoia Capital
Sequoia Capital provides venture capital funding to founders of startups who want to turn business ideas into enduring companies. As the "Entrepreneurs Behind the Entrepreneurs," Sequoia Capital's Partners have worked with innovators such as Steve Jobs of Apple Computer, Larry Ellison of Oracle, Bob Swanson of Linear Technology, Sandy Lerner and Len Bozack of Cisco Systems, Dan Warmenhoven of NetApp, Jerry Yang and David Filo of Yahoo!, Jen-Hsun Huang of NVIDIA, Michael Marks of Flextronics, Larry Page and Sergey Brin of Google, Chad Hurley and Steve Chen of YouTube, Dominic Orr and Keerti Melkote of Aruba Networks, Tony Hsieh of Zappos, Omar Hamoui of Admob, Steve Streit of Green Dot and Reid Hoffman and Jeff Weiner of LinkedIn. To learn more about Sequoia Capital visit www.sequoiacap.com.

Media Contact:

Andrew Karl
TriplePoint PR for Chartboost
[email protected]
203.314.6255

SOURCE Chartboost

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...