AI training startup Mode Inc has accelerated its strategy to recruit everyday consumers as data suppliers by acquiring consumer applications Trimbox and QR Code Reader, marking its seventh corporate purchase in the past year. Under Chief Executive Dan Novaes, the company is pivoting away from traditional gig-economy labor platforms toward a model that compensates regular users for sharing personal digital artifacts such as emails, purchase receipts, and photographs. This aggressive acquisition pipeline has expanded Mode Inc's network to more than one hundred million monthly active users, collectively generating over one billion dollars in payouts, savings, and incentives since the company's founding in 2019. The strategy directly addresses a critical industry bottleneck: as artificial intelligence developers face mounting legal scrutiny regarding copyright infringement and consent for training data, demand for ethically sourced, user-authorized datasets is surging. Novaes noted that AI labs are actively requesting massive volumes of specific document categories, including handwritten medical notes and vehicle service receipts. Mode Inc rapidly fulfills these requirements by distributing in-app prompts to its existing user base, bypassing the logistical delays of traditional contractor networks. Unlike competitors that depend on specialized gig workers, Mode Inc embeds data collection into routine digital behaviors, capturing wearable telemetry, streaming information, and transaction history. Financially, the startup has raised approximately eighty million dollars through crowdfunding and plans to file for an initial public offering within the next two years. Novaes articulated a long-term growth architecture focused on aggregating niche utilities rather than developing a single flagship application, with the objective of consolidating thousands of million-user tools to eventually reach one billion monthly active users. By establishing itself as a consent-driven data marketplace, Mode Inc is positioning its proprietary infrastructure as a compliant, scalable solution for next-generation AI development, effectively monetizing user-generated information while navigating an increasingly regulated technology landscape.