Discover 5 Top Machine Learning Startups impacting Media
Out of 1 386, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Media
Startups such as the examples highlighted in this report focus on user sentiment analysis, ad performance tracking, automated content generation as well as computer vision. While all of these technologies play a significant role in advancing the media industry, they only represent the tip of the iceberg. This time, you get to discover five hand-picked machine learning startups impacting media.
The Global Startup Heat Map below reveals the geographical distribution of 1 386 exemplary startups & scaleups we analyzed for this research. Further, it highlights five media startups that we hand-picked based on scouting criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 1 381 machine learning solutions impacting media, get in touch with us.
Bigbang Media enables Smart Content Building
Founding Year: 2017
Location: Long Beach, US
Partner with Bigbang Media for User Interaction Analysis & Engagement
US-based startup Bigbang Media builds smart content-building platforms. The startup uses machine learning algorithms to understand the actions in videos and photos. Its product, Bang Brain, categorizes videos and tags them automatically according to the timestamp as well as uses pattern recognition technology to identify faces and persons. The startup’s other products, Bang Hits and Brain Edge, analyze user interactions with media and allows creators to create thumbnails and content pipelines. These solutions enable content creators to deploy contextually aware recommendation systems and improve content quality.
Arpeely simplifies Media & User Acquisition
Founding Year: 2016
Location: Tel Aviv, Israel
Collaborate with Arpeely for User Retargeting
Israeli startup Arpeely aids media and user acquisition. The startup leverages machine learning algorithms to perform predictive analytics for demand generation. Its autonomous media engine targets and re-targets users as well as offers user traffic insights. The startup also provides a custom real-time bidding (RTB) stack and a direct connection to Google Ad exchanges that enables companies to predict the lifetime value of conversion based on post clicks. This allows advertisers to identify hidden opportunities as well as evade fraudulent sources and low intent traffic.
Depthen facilitates Media Content Enrichment
Founding Year: 2018
Location: Mons, Belgium
Reach out to Depthen for Content-Based Suggestions
Belgian startup Depthen enriches media content. The startup utilizes self-learning artificial intelligence (AI) models to enrich metadata and add tags to videos, sound, and images. Depthen also provides a comprehensive set of perspectives on visual content and its analysis output ranges from characterizing the place of origin of the picture to the context of use. It further provides more specific descriptions of subjects and automatically generates tags for them, enabling media companies to analyze and push content more effectively.
Stream Engine enables Media Performance Measurement
Founding Year: 2019
Location: Irvine, US
Work with Stream Engine for Brand Sentiment Analysis
US-based startup Stream Engine measures media performance. The startup uses computer vision to track and measure branding in any size, scale, or format on the screen. Its machine learning algorithms perform contextual analysis based on viewership fluctuation and provide voice detection and chat engagement features to measure the collective impact of content. The startup thus enables OTT platforms and other streaming services to analyze brand recognition and sentiments, increasing on-screen exposure.
All Ears offers Online Brand Tracking
Founding Year: 2016
Location: Stockholm, Sweden
Partner with All Ears for Brand Media Presence Monitoring
Swedish startup All Ears tracks online brands. The startup’ solution combines AI and machine learning to analyze brand-related content on social media platforms. It indexes and transcribes numerous programs to offer all brand mentions with complete transcripts that play directly from the mention. It also notifies brands when competitors are mentioned in the media. This enables brand managers to better monitor, understand, and measure their presence in digital media.
Where is this Data from & how to Discover More Media Startups?
Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the media industry. The insights of this data-driven analysis are derived from our Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & lets you scout relevant startups within a specific field in just a few clicks. To explore media technologies in more detail, let us look into your areas of interest. For a more general overview, download our free Media Innovation Report to save your time and improve strategic decision-making.
