Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the entertainment industry. This time, you get to discover five hand-picked machine learning startups impacting entertainment companies.
Out of 748, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Entertainment Companies
The insights of this data-driven analysis are derived from the 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 & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 748 exemplary startups & scaleups we analyzed for this research. Further, it highlights five machine learning startups that we hand-picked based on 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 743 machine learning startups for entertainment, get in touch with us.
Vody offers an Entertainment Analytics Platform
Founding Year: 2016
Location: Los Angeles, US
Funding: USD 10 M
Partner for High-Performance Video Recommendations
Vody is a US-based startup that develops an entertainment analytics platform. It leverages big data, natural language processing (NLP), and machine learning to crawl the internet and compile a database of films and TV shows. The platform boosts content recommendations and improves low interaction content performance. This allows streaming service providers to enhance subscription video on demand (SVOD) recommendation systems, detect outliers, and improve viewing experiences.
Altered simplifies Digital Audio Content Creation
Founding Year: 2018
Location: London, UK
Funding: USD 1,2 M
Use this solution for Voice-Over Production
Altered is a UK-based startup that provides Altered Studio, a software suite for digital audio content creation. It uses deep learning to render synthetic voice from the software’s voice portfolio and create single- or multi-character performances. Additionally, Altered Studio allows artists and producers to record audio from anywhere, even without a professional recording environment. It also enables audio producers to select a relevant cast from its library and generate new content. These features allow audio professionals to accelerate audio production and reduce voice-over prototyping and production costs.
Nlight.io facilitates Automatic Gameplay Analysis
Founding Year: 2018
Location: Ramat Hasharon, Israel
Innovative with Nlight-io for In-Game Competitive Intelligence
Israeli startup Nlight.io offers a Software-as-a-Service (SaaS) platform for automatic gameplay analysis. The platform utilizes data mining technologies to track top-grossing games and provide insights on competitors. This allows mobile game players to view the structure and flow of competitors, allowing the players to improve their performance. Besides, the platform enables mobile game studios and developers to improve user engagement and increase player retention.
POZAlabs enables AI-based Music Composition
Founding Year: 2018
Location: Seoul, South Korea
Funding: USD 500 000
Reach out to POZAlabs for Original Music Creation
POZAlabs is a South Korean startup that builds an AI-driven music creation platform. It combines machine learning and NLP to collect a range of music data and provide musical compositions. The platform also offers vocal lines that match the input instrumentals, lyrics, and keywords. Besides, it creates custom compositions for a range of genres, including hip-hop, jazz, and rock. This allows music writers and composers to speed up original music creation.
Modulate advances Gaming Voice Chat Moderation
Founding Year: 2017
Location: Cambridge, US
Funding: USD 6 M
Partner for an In-Game Voice Moderation System
US-based startup Modulate develops ToxMod, a voice moderation system for gaming voice chat moderation. It uses machine learning models that analyze traits of in-game characters’ voices, like emotion, volume, and prosody, to identify the context of speech. This mitigates the need for users to report abuse and thus allows game developers to proactively flag toxic behaviors. ToxMod also detects racial slurs and identifying information. The solution enables game developers to moderate conversations in real-time while protecting privacy with on-device analysis.
Discover more Entertainment Startups
Entertainment startups such as the examples highlighted in this report focus on automated content production, real-time gameplay and movie analytics as well as NLP and machine learning. While all of these technologies play a major role in advancing the entertainment industry, they only represent the tip of the iceberg. To explore entertainment technologies in more detail, let us look into your areas of interest. For a more general overview, download our free Entertainment Innovation Report to save your time and improve strategic decision-making.
