Uru was a New York-based technology startup founded in 2016 that developed AI-powered computer vision tools to analyze video and visual content, enabling businesses and brands to extract deep insights like objects, themes, sentiment, and aesthetics for applications in marketing, e-commerce, and native advertising.[1][2][4] It served brands, content creators, and platforms like Twitch or Instagram by solving the problem of intrusive video ads through seamless, organic ad placement—such as overlaying ads on video surfaces like walls or tables without disrupting viewer experience.[2][4] Uru gained early traction via Techstars acceleration and was acquired by Adobe in 2018, with its team integrating into Adobe Sensei, the company's AI platform.[2][5]
The company demonstrated strong growth momentum as a Cornell Tech startup, pivoting from legal tech to video AI, releasing a beta product, and raising seed funding while pitching to ad agencies.[4][5]
Uru emerged from Cornell Tech's Startup Studio in New York City, founded in 2016 by Bill Marino (CEO, former lawyer and Data Science Fellow at Mashable, Yale alum, Master of Computer Science '16), Brunno Attorre (CTO, former JP Morgan engineer, Cornell Tech M.Eng. '16), and Johan Adami (Master of Engineering Computer Science '16).[1][2][4] The trio initially collaborated on a legal tech product but pivoted after realizing their passion lay elsewhere, driven by Marino's shift from law to computer science.[4]
The idea crystallized around improving viewer-unfriendly video ads—like blocking overlays or short commercials—by using computer vision to enable native, non-intrusive placements.[4] Early traction included Techstars Global investment, a beta release targeted for September 2016, and a roadshow to brands, culminating in Adobe's 2018 acquisition.[1][4][5]
Uru rode the early wave of AI-driven video analysis and personalization in digital advertising, a trend exploding with platforms like YouTube and Twitch demanding non-intrusive monetization amid ad-blocker fatigue.[4] Timing was ideal in 2016-2018, as computer vision matured (e.g., via advancements in object detection) and brands sought data-rich visual content for targeted e-commerce, aligning with the shift to programmatic ads and creator economies.[1][2]
Market forces like rising video consumption and AI investments favored Uru, influencing the ecosystem by pioneering native video ads—now echoed in tools from Adobe and others—while its Adobe acquisition accelerated Sensei’s video AI capabilities, bridging startups to enterprise scale.[5]
Post-acquisition, Uru's tech lives on within Adobe Sensei, likely enhancing modern tools like Adobe's video editing and ad platforms with advanced scene understanding.[5] Expect its founders—now Adobe veterans—to shape AI video trends, such as generative ads or real-time personalization amid growing short-form video dominance (e.g., TikTok, Reels).
As AI video analysis evolves with multimodal models, Uru's legacy underscores how niche computer vision startups fuel giants, potentially inspiring similar exits in the creator-advertising nexus. This early success highlights Uru's role in making visual media a smarter business asset.
Uru has raised $800K in total across 1 funding round.
Uru's investors include Array Ventures, Asylum Ventures, Bain Capital Ventures, Bowery Capital, C2Ventures, Coelius Capital, Curious Capital, ENIAC Ventures, Ensemble VC, HealthX Ventures, Ligature, Lightbank.
Uru has raised $800K across 1 funding round. Most recently, it raised $800K Seed in December 2016.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Dec 1, 2016 | $800K Seed | Array Ventures, Asylum Ventures, Bain Capital Ventures, Bowery Capital, C2Ventures, Coelius Capital, Curious Capital, ENIAC Ventures, Ensemble VC, HealthX Ventures, Ligature, Lightbank, Lux Capital, Math Capital, NextView Ventures, NGP Capital, Notation Capital, Oceans, Pareto Holdings, QueensBridge Venture Partners, Social Capital, Tribe Capital, Anthony Saleh, Evan Cheng, Kim Perell, Lev Ekster, Ryan Duranso |
