Sam Altman, Peak XV, Daniel Gross, and Nat Friedman’s AI grant are among the supporters of a groundbreaking AI startup, established by two teenage entrepreneurs. This startup aims to revolutionize business automation by introducing innovative approaches to previously unexplored workflows.
Founded in the current year, Induced AI offers businesses the ability to input their workflows in plain English. It then translates these instructions into real-time pseudo-code for numerous repetitive tasks that are typically managed by back-office operations.
The platform, named after the company itself, deploys Chromium-based browser instances and utilizes advanced technology to read on-screen content and control the browser in a manner resembling human interaction. This enables the browser instances to engage with websites, even in the absence of an API, as demonstrated by Aryan Sharma, the co-founder and CEO of Induced AI.
Zapier is a pioneer in the API integration sector, connecting various applications and providing businesses with the means to streamline operations and innovate without requiring extensive technical knowledge. Eighteen-year-old Sharma (pictured on the right in the lead image), along with 19-year-old Ayush Pathak (pictured on the left), co-founded the startup, envisioning that Induced AI can create an integration economy for browser-native workflows.
These workflows can encompass intricate, logic-driven processes, including two-factor authentication dialogues. Induced AI employs a bi-directional interaction system, allowing human intervention when necessary while autonomously handling the rest, as explained by Sharma.
“We’ve custom-designed a browser environment on top of Chromium for autonomous workflow execution. It possesses its own memory, file system, and authentication credentials (email, phone number) to execute complex processes. As far as I know, we’re the first to adopt this approach of redesigning the browser for native AI agent use. This enables us to perform tasks such as complex logins, 2FA (automatically filling in authentication codes/SMSs), file downloads, and data storage and retrieval that other autonomous agents cannot accomplish,” Sharma stated.
In contrast to existing models, where individuals might spend hours manually tagging HTML elements to program instructions, Induced AI eliminates the need for manual tagging. Its system can extract essential information from English instructions and dynamically adjust them as needed.
Induced AI is not alone in this field, as similar modern Robotic Process Automation concepts have surfaced on platforms like X and Hacker News in recent months. However, Sharma highlights several factors that differentiate Induced AI. The platform can execute multiple tasks concurrently, and it operates entirely remotely.
The startup, currently comprising only five members, has recently onboarded several small to mid-sized clients. These clients include a sales firm using Induced AI for employee onboarding, and the company is actively exploring new use cases.
Induced AI announced on Tuesday that it successfully secured $2.3 million in its seed funding round. Prominent investors in the startup include SignalFire, Untitled Ventures, SV Angel, Superscrypt, Balaji Srinivasan, Julian Weisser, IDEO Colab, and OnDeck.
“Induced represents the evolution of RPA 3.0. They not only significantly advance human-like interaction and efficiency but also democratize access by allowing users to describe their workflows in natural language and execute parallel agents for any back-office workflow,” commented SignalFire’s Elaine Zelby in a statement.
