Company name
Website URL
One Sentence Summary
Akta Is AI-First Video
What Do You Do / Who You Serve / Why It Matters?
We understand video at its core and engineer solutions
Listing Category
Address
Global
Why Media Companies Work with us
We are laser-focused on creating the future of video, while helping media companies create, monetize and distribute content on any screen. Leading media companies such as TelevisaUnivision, Nexstar, Fox, CBS trust Akta with their video.
Company name
Website URL
What Do You Do / Who You Serve / Why It Matters?
We help streaming services, studios, technology companies, and media organizations make smarter content decisions through real-time streaming availability data, global metadata, historical licensing windows, and competitive intelligence. Our platform tracks more than 4 million titles across 300+ streaming platforms in 25+ countries, giving customers a continuously updated view of the streaming landscape.
Listing Category
Address
Global
Why Media Companies Work with us
Streaming has made content distribution dramatically more complex. Understanding where titles are available, how catalogs evolve, when licensing windows open and close, and how competitors are positioning their libraries has become a strategic advantage.
We provide a unified streaming intelligence platform built specifically for that challenge.
Our dataset combines real-time streaming availability, historical licensing windows, production-ready metadata, rich taxonomy, imagery, popularity signals, and competitive analytics into a single data layer that integrates directly into existing workflows.
Media companies use Reelgood to evaluate licensing opportunities, monitor competitive catalog changes, analyze content strategy, power discovery experiences, enrich metadata, and build audience-facing applications with accurate where-to-watch information.
Our AI-powered matching technology continuously normalizes and validates data across hundreds of streaming platforms worldwide, helping eliminate duplicate records, stale metadata, and inconsistent title matching while delivering near real-time updates.
The result is a streaming-native intelligence platform that supports licensing teams, product organizations, researchers, search experiences, recommendation systems, and executive decision-making with data built specifically for today's streaming ecosystem.
Trusted by companies including Google, Apple, Amazon, Roku, Disney, Warner Bros. Discovery, Starz, Tubi, LG, Perplexity, Philo, MACRO, Stanford, Wharton, and many others, Reelgood has become a foundational data layer for organizations that depend on accurate, real-time streaming intelligence.
We provide a unified streaming intelligence platform built specifically for that challenge.
Our dataset combines real-time streaming availability, historical licensing windows, production-ready metadata, rich taxonomy, imagery, popularity signals, and competitive analytics into a single data layer that integrates directly into existing workflows.
Media companies use Reelgood to evaluate licensing opportunities, monitor competitive catalog changes, analyze content strategy, power discovery experiences, enrich metadata, and build audience-facing applications with accurate where-to-watch information.
Our AI-powered matching technology continuously normalizes and validates data across hundreds of streaming platforms worldwide, helping eliminate duplicate records, stale metadata, and inconsistent title matching while delivering near real-time updates.
The result is a streaming-native intelligence platform that supports licensing teams, product organizations, researchers, search experiences, recommendation systems, and executive decision-making with data built specifically for today's streaming ecosystem.
Trusted by companies including Google, Apple, Amazon, Roku, Disney, Warner Bros. Discovery, Starz, Tubi, LG, Perplexity, Philo, MACRO, Stanford, Wharton, and many others, Reelgood has become a foundational data layer for organizations that depend on accurate, real-time streaming intelligence.