The startup has developed a video logistics platform that integrates data acquisition and automation to streamline the management of video content across multiple software environments. This platform enables real-time data collection and processing, allowing video distributors and broadcasters to operate efficiently with a single software solution on their video players.
Funding
$9.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NVFounders
Product
Problem
Video distributors and broadcasters often struggle with fragmented data collection and a lack of unified visibility across diverse software environments, leading to inefficient operations and difficulty in optimizing video delivery and user experience. Managing video content across multiple platforms requires integrating various data acquisition tools, resulting in complex workflows and delayed insights.
Solution
Datazoom offers an enterprise data-as-a-service platform that simplifies video data management by integrating data acquisition and automation. The platform provides low-code SDKs and APIs to automatically collect hundreds of standardized events and metadata from apps, media players, CDNs, ad frameworks, and streaming protocols. Users can create data pipes to send unified data to existing storage and analysis tools, and configure filtering, transformations, sampling, and enrichment to tailor data delivery. This enables real-time insights into user behavior, content performance, and monetization effectiveness, all from a single, highly configurable platform.
Target Audience
The primary customers are video publishers, broadcasters, and streaming platforms seeking to optimize their video delivery, user experience, and monetization strategies through unified data collection and analysis.
Features
- Low-code SDKs and APIs for automatic collection of standardized events and metadata
- Support for various collectors including Android, iOS/tvOS, Javascript, and Roku
- Data pipes for creating sets of collectors, connectors, and configurations
- Real-time data delivery to major storage, visualization, and querying tools
- Configurable data filtering, transformations, sampling, and enrichment
- Unified data source for user, content, advertising, and quality of experience (QoE) metrics
- Integration with AWS Elemental MediaTailor, InfoTrust Digital Media Services, TrafficPeak by Akamai, and TV-Insight