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Datazoom is an enterprise Data-as-a-Service platform provider that replaces fragmented software development kits with a single real-time data layer for media and streaming companies, operating from an undisclosed headquarters location. Built natively on Amazon Web Services, the cloud-based infrastructure delivers financial-grade data services at scale to support complex analytics, digital advertising operations, and advanced artificial intelligence applications. The enterprise software specifically tracks comprehensive user journeys within multimedia players, standardizing data collection processes while simultaneously managing strict data governance and compliance requirements across various digital media ecosystems. The organization's executive leadership team draws extensive industry experience from major global media and technology corporations, incorporating strategic expertise from former personnel who previously operated at ESPN, The Walt Disney Company, and Netflix. The enterprise data platform was established by founder and Chief Executive Officer Diane Strutner during an undisclosed founding year.
Datazoom has raised $4.7M across 2 funding rounds.
Datazoom has raised $4.7M in total across 2 funding rounds.
Datazoom has raised $4.7M across 2 funding rounds. Most recently, it raised $4.0M Series U in February 2020.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Feb 1, 2020 | $4M Series U | — | Berkeley Angel Network, Cervin Ventures | Announced |
| Apr 4, 2018 | $700K Pre Seed | Brooklyn Bridge Ventures | — | Announced |
Datazoom is an enterprise Video Data Platform and Data-as-a-Service (DaaS) company that builds a real-time data layer for digital properties, specializing in video streaming and media.[1][2][3] It serves media companies, video teams, and enterprises like Crown Media and ABS-CBN by providing lightweight SDKs, APIs, and libraries to collect, standardize, process, enrich, and route granular event data from apps, media players, CDNs, and ad frameworks—solving data silos, SDK bloat, delayed insights, and fragmented metrics that hinder real-time decision-making.[2][3][4][6] This unified data stream enables operations, engineering, product, and business teams to analyze user journeys, optimize streaming, attribute ads, and activate insights instantly across tools, with strong growth via AWS Marketplace presence and partnerships like AWS Elemental MediaTailor.[5][7]
Founded in 2017 in New York, New York, by industry veterans including Co-Founder/CEO Diane Strutner, Datazoom emerged to address fragmented data challenges in digital media, building fully on AWS for scalable, financial-grade services.[1][2][4][7] The idea stemmed from the need for a single, real-time data layer amid batch ETL delays and conflicting analytics tools, starting with SDKs dropped into digital experiences for unified collection.[2][7] Early traction came from media firms driving video revenue, with pivotal moments like AWS integrations for edge computing and a recent U.S. patent grant on January 7, 2025, for real-time data acquisition using scalable pass-through architecture—validating its tech amid rising streaming demands.[1][7]
Datazoom rides the explosive growth of video streaming and real-time analytics, where media consumption hit record highs and ad spend shifts to connected TV/digital video.[3][5] Timing is ideal amid cloud edge computing maturation (e.g., AWS CloudFront, Lambda@Edge), enabling sub-second insights critical for viewer retention in a fragmented ecosystem of CDNs, players, and ad tech.[7] Market forces like data privacy regs, identifier deprecation, and AI-driven personalization favor its standardized, governable layer, reducing ETL costs and engineering bottlenecks for hyperscalers.[2][6] It influences the ecosystem by partnering with AWS and alliances like Streaming Video Technology Alliance (SVTA), empowering video monetization and optimizing experiences for broader digital strategies.[4][5][7]
Datazoom is poised for acceleration as real-time video data becomes table stakes for media survival, with expansions into adjacent verticals like gaming or e-commerce via its flexible DaaS model.[5][6] Trends like generative AI for insights, edge AI processing, and server-side ad tech will amplify its edge, especially post-patent fortification.[1][7] Influence may evolve toward full-stack activation platforms, potentially via acquisitions or deeper hyperscaler embeds, solidifying its role as the foundational data layer in a data-driven media renaissance—unlocking the "black box" that powers tomorrow's user journeys.[2][3]
Datazoom has raised $4.7M in total across 2 funding rounds.
Datazoom's investors include Berkeley Angel Network, Cervin Ventures, Brooklyn Bridge Ventures.
