Mode Inc: Paid Data and Strategic Acquisitions

Mode Inc: An Ambitious Acquisition Strategy

Mode Inc, a startup specializing in artificial intelligence training, has recently strengthened its market position by acquiring two consumer applications, Trimbox and QR Code Reader. These acquisitions bring the total number of applications purchased by the company over the past year to seven, thereby expanding its reach to 100 million monthly users. This strategy aligns with a desire to provide AI labs with consented data, which is essential for the future development of artificial intelligence.

A Consumer-Centric Approach

Unlike other AI startups that focus on one-off tasks, Mode Inc offers an innovative approach by compensating consumers for their daily data. Mode Inc's CEO, Dan Novaes, explained that the company does not focus on platform workers like Mechanical Turk or Outlier/Scale AI, but rather targets users' everyday activities, such as uploading purchase receipts or using streaming data. These agreements expand Mode Inc's portfolio to include over 100 million monthly users, who exchange this data for cash or rewards.

A Rapidly Expanding Business Model

Mode Inc is part of a multitude of startups such as Scale AI, Mercor, and Handshake, which pay hundreds of thousands of contractors worldwide to collect and label data. Since its founding in 2019, Mode Inc has distributed one billion dollars in earnings, savings, and incentives. The company has raised approximately 80 million dollars through crowdfunding and plans to go public within two years. Novaes sees the increasing legal scrutiny on the use of online data as an opportunity to boost demand for consent-based data.

Towards Massive Scale

Mode Inc's ambition is to create a vast portfolio of niche applications that, collectively, achieve massive scale. Novaes shared a recent example of a request from an AI lab client, who wanted forms with handwritten content, such as doctors' notes or oil change receipts. Mode Inc then sent a notice to its users to obtain a few samples of these documents. Novaes envisions making users' photo libraries available for AI training, and he considers two pathways to reach one billion monthly active users: developing a major application or acquiring a thousand applications, each with one million active users.