
Amagi
Founded Year
2008Stage
Series F - II | AliveTotal Raised
$336.69MValuation
$0000Last Raised
$82M | 2 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-11 points in the past 30 days
About Amagi
Amagi specializes in cloud solutions for free ad-supported streaming TV (FAST), connected TV (CTV), and broadcast television. The company offers a suite of services that enable channel creation, content distribution, and monetization through advertising technologies. Its solutions cater to broadcasters, content owners, streaming platforms, and advertisers seeking to maximize their reach and revenue in the evolving television (TV) and over-the-top (OTT) landscape. It was founded in 2008 and is based in New York, New York.
Loading...
Loading...
Expert Collections containing Amagi
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Amagi is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,270 items
Ad Tech
4,236 items
Companies offering tech-enabled marketing and advertising services.
Targeted Marketing Tech
453 items
This Collection includes companies building technology that enables marketing teams to identify, reach, and engage with consumers seamlessly across channels.
Amagi Patents
Amagi has filed 2 patents.

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
4/12/2024 | Application |
Application Date | 4/12/2024 |
---|---|
Grant Date | |
Title | |
Related Topics | |
Status | Application |
Latest Amagi News
Mar 4, 2025
Is the technology finally living up to the hype? When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works . More than 61,000 attended the 2024 NAB Show. (Image credit: © NAB) Broadcasters heading to Las Vegas next month in hopes of finding new ways to lower costs while making better use of their resources to increase revenue won’t be disappointed. Going beyond anything yet seen at a trade show, the 2025 NAB Show , April 5-9, will showcase advances dominated by artificial intelligence (AI) that seem better suited than ever to the needs of TV station owners and everyone else in media and entertainment. In fact, some of these solutions are already in the preliminary stages of adoption. The Embrace of AI The growing use of new, vastly improved AI-assisted broadcast translation platforms is a case in point. One such instance can be found in Corpus Christi, Texas, where E.W. Scripps-owned Telemundo affiliate KAJA is testing the delivery of newscasts in Spanish that originated in English on the company’s local NBC affiliate, KRIS-TV. Now in trial mode, the initiative aims to add newscasts on KAJA at minimal cost rather than replace Spanish-speaking newscasters, says Christina Hartman, who joined Scripps’ new AI leadership team last year as vice president of emerging technology operations. By cloning KRIS newscasters’ voices from samples recorded in English, the AI technology from an unnamed vendor can maintain voice fidelity with a high level of accuracy in the translations, Hartman says. Or, to cite another example of new things in play, if it looks like someone at your station group’s headquarters has leveraged incredible powers of eidetic memory and audience awareness to funnel archived programming you didn’t know the group had into a FAST channel that’s generating unusually high ratings, think again. And you shouldn’t assume the virtually overnight appearance of that channel involved recruiting staffers from the night shift to get the job done. Nor will it be an army of interns digitizing stacks of handwritten logs from the ’40s that enables your station’s newscasters to include an old clip from that era as they cover the latest twist in a local neighborhood’s evolution. No, these are all demonstrations of what can now be accomplished with AI. AI Comfort Levels Hit New Highs New uses of the technology, often leveraging fast-moving gains in generative AI employing large-language modeling (LLM) , are sure to be spreading at an accelerating pace in the wake of broadcasters’ visits to this year’s NAB Show. For all the publicized drawbacks, including reliability issues and concerns about job losses, broadcasters appear to be more ready than ever to embrace the technology based on what they’ve experienced so far. Get the TV Tech Newsletter The professional video industry's #1 source for news, trends and product and tech information. Sign up below. Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. “I’m very encouraged seeing the [M&E] ecosystem collaborating to wrap our arms around what this means for our industry,” says Jason Williamson, managing director and AI leader for Deloitte’s Media Solutions & Engineering practice. Once again, show attendees will have to navigate a Las Vegas Convention Center under renovations. This year, an expanded North Hall (still under construction) will be open while the Central Hall will be closed. (Image credit: NAB) But it’s not easy in an environment where chaos is the norm. “We’re not making toothbrushes here,” Williamson says. “Hats off to the seasoned media engineering experts who are willing to shoulder the learning journey.” With so many moving parts and so many different types of productions to cope with, there’s a “pretty broad spectrum” of AI applications to validate. “The trajectory is headed in the right direction,” Williamson says, “but when we can scale as reliably as we do with traditional workflows is harder to pin down.” That’s one reason many broadcast groups remain fairly reticent about what they’re doing with AI. One station group executive, speaking on background, says his company is “still kicking tires, so we’re not out of our shell yet on AI. But we’re working very energetically to streamline our workflows. The question is, how do we do that without risking our product?” There’s also the anxiety that still pervades broadcast workforces. “Given the sensitivities that AI can be used to cut corners in creating news and entertainment or do other things that can impact jobs, station groups are hard to crack at this point,” the executive says. Growing Revenues While Cutting Costs Broadcasters who advocate using AI think the best way to address such sensitivities is to pursue balanced and productive use of the technology that reduces time spent executing existing tasks while freeing people to pursue new revenue-generating agendas. It’s a balance Scripps sees emerging as a natural consequence of how things work, notes Kerry Oslund , who works with Hartman on the Scripps AI team as vice president of AI initiatives. “We’ve been able to shift our resources to where we have more people in the field to do a lot more neighborhood reporting,” Oslund says. Similarly, Tegna president and CEO Mike Steib —who since taking over from retired CEO David Lougee in August has been anything but reticent about his enthusiasm for AI—recently stressed “the massive opportunity” AI brings to cutting costs and capitalizing on consumer demand for more local coverage. Speaking at Tegna’s third-quarter earnings conference in November, Steib noted that, with a monthly audience of 100 million people showing “a boundless appetite” for content delivered via linear TV, streaming and mobile apps, Tegna’s use of “software automation and AI is going to help us to create more and better content.” That “helps us to win on the revenue side,” he added. In Scripps’ case, augmenting the product mix starts with making better use of data. “2025 is when we want to take control of our archives,” Hartman says. “We’re sitting on a historic gold mine that’s very fragmented across the organization.” Cristina Hartman (Image credit: E.W. Scripps) The Scripps team has reached the point of using AI to generate reliable output from a massive repository of data manually uploaded from multiple sources. The next step is to eliminate manual uploading as much as possible from external as well as internal data sources. When you can start to orchestrate information as needed at any given moment from in-house archives and external sources like Nielsen, Comscore, consumer sales trackers and financial databases, “you can start asking amazing questions,” Oslund says. Such massive powers of data orchestration can greatly facilitate advertising strategies, planning FAST and other content initiatives, negotiating with networks and getting the most out of ideas implemented by broadcasters across the country, he adds. One concern Oslund has about the AI tsunami is the need to avoid being locked into inflexible uses of a vendor’s AI-enhanced solution. Speaking of vendors generally, he says, “We know you’re going to have AI solutions that work in your own environment, but are they extensible in a way that allows us to work with other systems in our knowledge base?” What’s in Store on the Floor and in Conferences? This is an opportune moment for broadcasters to tap into the abundance of advertising-related vendor innovations on display at NAB Show. While most of these solutions are designed to work in the online streaming environment, where the pervasive market penetration of connected TVs (CTVs) allows broadcasters to deliver TV-caliber advertising over their FAST and other OTT feeds, there are also compelling AI-driven solutions slated for introduction at the show that can be used with both traditional and online TV distribution. One example comes from 24i, the provider of a cloud-based converged OTT and traditional TV operations platform supporting UX, content management, personalization and third-party integrations. As described by Stuart Huke, head of product and support, 24i’s new AI-driven intelligence and monetization solutions will allow broadcasters “to better understand what’s on screen and who’s watching” and to track ad performance by “linking different data points” related to consumers’ social media interactions with online sellers of advertised products. New applications of AI impacting advertising will also be highlighted at NAB by longtime recommendations-engine supplier ThinkAnalytics . “ThinkAnalytics has evolved as a platform where we not only help customers monetize but help them to assemble the content,” Senior Vice President of Products Chris McGuire says. These new tools can be used to create audience profiles based on what people are watching and to facilitate finding and aggregating assets, including long-overlooked archived content, for use in online programming lineups matched to those profiles. “We’re saying, let’s look at the content; understand the content you’ve got,” he says. “Maybe you have audiences for that content you didn’t realize you had. We can augment your ability to target those viewers with our advertising product.” Focus on FAST NAB Show visitors will also be able to witness the early results of the big leap in use of AI that Amagi Technologies took late last year with its acquisition of Argoid.AI, a specialist in recommendation engines and programming automation for OTT platforms. As a starting point, Amagi will be introducing innovative approaches to creating and promoting FAST channels, Co-Founder Srividhya Srinivasan says. One application can be used to automatically create FAST channels by scouring archives, metadata files and existing FAST channel schedules to find and schedule programming that matches specific audience profiles the AI platform has developed from viewing patterns and other data. Another AI application, which is still in development, will enable personalized extractions from news and other programming that can be fed to viewers through social networks. MediaKind plans to introduce automated approaches to developing promotional clips and building personalized customer playlists. The company is taking a vendor-neutral approach to supporting AI-based multilanguage translations of live commentary in news, sports and other programming, according to Head of Marketing Chris Wilson. “We want customers using our platform at the edge to be able to use any AI translation tool they choose.” Of course, there will be many compelling new products on offer at the show that are unrelated to AI. One solution in that vein is a multistream viewing platform that MediaKind is introducing in partnership with Skreens, a supplier of content-compositing technology. The application, operating in real time on MediaKind’s MK.IO cloud streaming platform, consolidates up to 16 individual streams for delivery over a single TV channel or video stream, according to MediaKind senior vice president of engineering Cory Zachman. Audiences can toggle between multiple camera angles from a single event or programming from multiple channels, Zachman says, adding that, so far, customers are having a “ton of success” offering mixes of four or fewer feeds from different sports events. “It works on any device you have from old set-top boxes to new connected TVs” without requiring additional bandwidth or any reduction in resolution or frame rates, he says. Clearly, broadcasters will have a lot to absorb at this year’s NAB Show, especially in light of all the conference sessions they’ll want to attend while spending as much time as possible visiting exhibits. As usual, the show navigation challenge will be mitigated somewhat by the staging of many sessions in multiple exhibit hall locations, but, of course, keynotes, must-attend sessions at the Broadcast Engineering and IT Conference and much else will be staged in conference rooms. To register for the show, visit nabshow.com . Learn More… (Image credit: NAB) NAB Show’s focus on AI will include a variety of sessions and exhibit areas, including PropelME, a dedicated startup hub created through a strategic partnership between NAB Show and FBRC.ai that will feature companies leveraging AI to transform the broadcast, media and entertainment industry. Also, check out these selected sessions during the show: Legal Issues with AI Generated Assets or Content (April 6, 8 a.m.-10:30 a.m., Post|Production World) How AI is Transforming Caption Quality Assurance (April 6, 9:50 a.m.- 10:10 a.m., BEIT) DeepSeek and the New Reality: Progress or Pandora’s Box (April 6, 2:50 p.m.- 3:30 p.m., Creator Lab, South Hall Lower) Integrated Newsrooms with Generative AI: Efficiency, Accuracy and Beyond (April 7, 10:20 a.m.-10:40 a.m., BEIT) Is AI a Tool or a Threat to Creatives? (April 7, 10:45 a.m.-11:45 a.m., Post|Production World) Shooting For Generative AI (April 7, 10:45 a.m.-11:45 a.m., Post|Production World) Safeguarding Media Integrity From The Growing Threat of Generative AI (April 7, 11:30 a.m.-Noon, BEIT) AI-Powered Ad Tech: Maximizing Revenue and Balance in a Dynamic Advertising Landscape (11 a.m.-11:30 a.m., April 8, Theater 2, West Hall) Safeguarding IP in the Era of AI: From Deepfakes to Digital Deception (April 8, 11:45 a.m.-12:30 p.m., Creator Lab, South Hall Lower) TOPICS Social Links Navigation Fred Dawson, principal of the consulting firm Dawson Communications, has headed ventures tracking the technologies and trends shaping the evolution of electronic media and communications for over three decades. Prior to moving to full-time pursuit of his consulting business, Dawson served as CEO and editor of ScreenPlays Magazine, the trade publication he founded and ran from 2005 until it ceased publishing in 2021. At various points in his career he also served as vice president of editorial at Virgo Publishing, editorial director at Cahners, editor of Cablevision Magazine, and publisher of premium executive newsletters, including the Cable-Telco Report, the DBS Report, and Broadband Commerce & Technology. More about nab show
Amagi Frequently Asked Questions (FAQ)
When was Amagi founded?
Amagi was founded in 2008.
Where is Amagi's headquarters?
Amagi's headquarters is located at 1 Pennsylvania Plaza, New York.
What is Amagi's latest funding round?
Amagi's latest funding round is Series F - II.
How much did Amagi raise?
Amagi raised a total of $336.69M.
Who are the investors of Amagi?
Investors of Amagi include General Atlantic, Norwest Venture Partners, Accel, Avataar Venture Partners, Mayfield and 6 more.
Who are Amagi's competitors?
Competitors of Amagi include Muxip and 2 more.
Loading...
Compare Amagi to Competitors

Grass Valley is a technology provides media and entertainment services. The company offers a range of products and services, including IP-native cameras, cloud production platforms, and other solutions for media production, live events, and playouts. Its customer segments include media producers, broadcasters, and the entertainment industry. It was formerly known as Thomson Broadcast & Media. It was founded in 1959 and is based in Montreal, Canada.

Frequency is involved in the creation, management, and distribution of streaming television channels across various platforms. The company provides tools for transforming content into linear channels, managing live programming and sports events, and distributing to multiple OTT and FAST platforms. Frequency serves the media and entertainment industry and provides services for content owners and broadcasters. It was founded in 2010 and is based in Los Angeles, California.
OTTera is a white label OTT service provider that focuses on content distribution and monetization across streaming platforms. It offers streaming application development, FAST channel creation, global distribution services, and managed advertising sales to assist clients in optimizing revenue. OTTera serves the digital media and entertainment industry with its range of OTT solutions. It was founded in 2017 and is based in Sherman Oaks, California.

SureWaves is a media convergence company specializing in targeted advertising across television and digital platforms within the advertising industry. The company offers a flagship solution, SureWaves Spot TV Network, which allows advertisers to place customized ads with audience-specific content, aiming for wider reach and better return on investment. SureWaves' technology enables advertisers to target fragmented audiences efficiently and provides real-time data on advertisement performance. It was founded in 2006 and is based in Bengaluru, India.
BitCentral is a media software company that provides software for media production, playout automation, and online video management. The company's offerings serve broadcasters, publishers, and media organizations. It was founded in 2000 and is based in Newport Beach, California.

MuxIP provides cloud-based SaaS solutions for the media and entertainment industry, specifically in Free Ad-Supported Streaming Television (FAST) and satellite distribution. The company provides tools for content owners and media companies to create, monetize, and distribute FAST linear channels, including features for content preparation, channel scheduling, live event streaming, and video advertising. MuxIP's technology aims to facilitate ad-supported streaming and support monetization and distribution efforts across various platforms. It was founded in 2016 and is based in Los Angeles, California.
Loading...