Business Insider reports that Mode Mobile -- operating as Mode Inc -- has acquired Trimbox (an inbox-management app) and QR Code Reader (a code-scanning utility), bringing its total app buyouts in the past year to seven. Business Insider reports the deals expand Mode's user base to more than 100 million monthly users who opt in to share photos, receipts, emails, streaming activity, and wearable data in exchange for cash or rewards. Mode's primary business model is attention monetization: brands and advertisers pay Mode to reach its audience, and users earn points redeemable for cash or gift cards. Business Insider reports Mode has distributed $1 billion in earnings, savings, and incentives, and CEO Dan Novaes has raised about $80 million through Regulation A+ crowdfunding. Business Insider quotes Novaes: "We're not really focused on just going after the Mechanical Turk or the Outlier/Scale AI gig workers." Novaes told Business Insider he intends to take the company public within two years.
What happened
Business Insider reports that Mode Mobile (operating as Mode Inc) acquired Trimbox, an inbox management app, and QR Code Reader, a code-scanning utility, bringing total app buyouts in the past year to seven. Business Insider reports these additions expand Mode's claimed user base to more than 100 million monthly users who share data -- photos, receipts, emails, streaming records, and wearable-device telemetry -- in exchange for cash or rewards.
Business model
Mode's core revenue engine is attention monetization, not direct data sales for AI training. Brands and advertisers pay Mode for targeted user engagement, similar to ad campaigns on social media networks. Users earn points for everyday smartphone activities -- watching videos, playing games, listening to music -- and redeem them for cash or gift cards at major retailers. The company has distributed nearly $1 billion in earnings and savings to users since inception and generated over $90 million in revenue, per company disclosures.
CEO and funding
CEO Dan Novaes has raised about $80 million through Regulation A+ crowdfunding from retail investors and has indicated plans to take Mode public within two years, per Business Insider. On positioning vs. gig-economy data platforms, Business Insider quotes Novaes: "We're not really focused on just going after the Mechanical Turk or the Outlier/Scale AI gig workers."
Acquisition strategy
Mode's buyout activity accelerated in late 2024. In December 2025 it acquired NGL (Not Gonna Lie), a Gen-Z anonymous messaging app with over 125 million monthly active users, integrating it into the EarnOS rewards platform. The Trimbox and QR Code Reader deals extend the same strategy to productivity and utility apps. Mode's goal is to build a super-app portfolio where its EarnOS layer monetizes engagement across all acquired properties.
Relevance for practitioners
Consumer-scale data covering receipts, emails, browsing, and device telemetry can support tasks including OCR, intent classification, entity extraction, and personalization model training. Teams evaluating such data sources should independently assess consent architecture, data provenance, and downstream licensing terms before use -- Mode's consent flows and data retention policies have not been independently audited in available public sources.
What to watch
Mode's pre-IPO Regulation A+ round remains open to retail investors (minimum around $2,000). Regulatory and privacy scrutiny will be important to track as Mode's data scope expands via acquisitions, and any future public filings could reveal details on data sourcing and retention practices.
Scoring Rationale #
Mode Mobile is a documented consumer adtech platform with a confirmed acquisition strategy, but this Business Insider report covers a niche business story with a secondary AI data angle. The specific Trimbox and QR Code Reader acquisitions lack independent corroboration beyond the primary BI source. For AI/DS/ML practitioners, Mode's consumer data collection at scale is relevant but does not represent a step-change in the data marketplace landscape.
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