Key Takeaways
- • Consumer-focused private equity firm L Catterton has made a strategic investment in Glance, an AI shopping agent run out of a subsidiary of tech company InMobi; the investment amount was not disclosed in the source.
- • Glance is accessible on more than 60 million devices in the U.S. through its app and hardware partnerships with Samsung, Android TV and DirecTV.
- • Founder and CEO Naveen Tewari reports 10 million monthly active users in the U.S., averaging 120 shopping prompts a month, with nearly 15 percent making a monthly purchase.
- • Glance earns an affiliate cut from completed sales and charges brands an additional fee to train its algorithms on their catalogues.
- • The structural risk for brand owners is recommendation control: unpartnered labels may be excluded from discovery unless they pay for model training.
Summary
L Catterton, the consumer-focused private equity firm, has made a strategic investment in Glance, an artificial intelligence shopping agent operated out of a subsidiary of InMobi, according to Publication coverage of the deal. The source does not disclose the size of the investment. Scott Dahnke, global chief executive of L Catterton, said the firm has backed shifts in consumer behavior for nearly four decades and described agentic commerce as "fundamentally changing how consumers discover and shop for products." He said Glance was "uniquely positioned" given its consumer proposition and broad distribution across screens.
Glance is currently accessible on more than 60 million devices in the U.S., through an app and hardware partnerships with Samsung, Android TV and DirecTV. The service operates as a personal shopper: it remembers user preferences, searches the web for deals, offers virtual try-ons, and seeks user approval before completing purchases. Naveen Tewari, founder and CEO of Glance and InMobi, said the platform has 10 million monthly active users in the U.S., who average 120 shopping prompts a month, with nearly 15 percent completing a purchase within thirty days. Glance collects an affiliate cut from final sale totals and, for an added fee, trains its algorithms on individual brands so their labels surface accurately during queries. Tewari argued that the model can remember a million brands, compared with a human's limited recall, and said smaller brands doing authentic work could be discovered.
Glance initially scaled by delivering news, media and casual games to Android mobile lock-screens, an installed base its parent InMobi used to expand abroad. L Catterton will fund faster model training and expansion of the distribution network beyond its initial television deployments. The article frames the investment as a wager that consumer software can control retail discovery in Western markets, with ad-tech operators shifting from selling display space to taking direct conversion cuts from retailer inventories.
The article identifies two principal tests. First, Glance must replicate its U.S. hardware conversion rates across its core mobile device base, where average basket values are lower and established marketplace apps dominate search habits. Second, brand owners face recommendation-control risk: if an algorithm decides which product matches a prompt, unpartnered labels may be excluded unless they pay for training on their catalogue.
Glance is currently accessible on more than 60 million devices in the U.S., through an app and hardware partnerships with Samsung, Android TV and DirecTV. The service operates as a personal shopper: it remembers user preferences, searches the web for deals, offers virtual try-ons, and seeks user approval before completing purchases. Naveen Tewari, founder and CEO of Glance and InMobi, said the platform has 10 million monthly active users in the U.S., who average 120 shopping prompts a month, with nearly 15 percent completing a purchase within thirty days. Glance collects an affiliate cut from final sale totals and, for an added fee, trains its algorithms on individual brands so their labels surface accurately during queries. Tewari argued that the model can remember a million brands, compared with a human's limited recall, and said smaller brands doing authentic work could be discovered.
Glance initially scaled by delivering news, media and casual games to Android mobile lock-screens, an installed base its parent InMobi used to expand abroad. L Catterton will fund faster model training and expansion of the distribution network beyond its initial television deployments. The article frames the investment as a wager that consumer software can control retail discovery in Western markets, with ad-tech operators shifting from selling display space to taking direct conversion cuts from retailer inventories.
The article identifies two principal tests. First, Glance must replicate its U.S. hardware conversion rates across its core mobile device base, where average basket values are lower and established marketplace apps dominate search habits. Second, brand owners face recommendation-control risk: if an algorithm decides which product matches a prompt, unpartnered labels may be excluded unless they pay for training on their catalogue.
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