Induced AI is a browser automation platform that transforms plain English instructions into autonomous workflows, eliminating the need for traditional RPA programming or API integrations.
AI agents that can operate any website or web application — automate complex multi-step web workflows.
Induced AI is a browser automation platform that lets users describe complex business workflows in plain English, which autonomous AI agents then execute in purpose-built Chromium browser instances without requiring any coding, scripting, or API integrations. Unlike traditional Robotic Process Automation (RPA) tools that demand trained developers, brittle selectors, and lengthy implementation cycles, Induced AI uses large language models to semantically understand web pages the way a human would — reading labels, identifying form fields, and navigating multi-step processes dynamically. Each browser agent runs in an isolated cloud environment pre-provisioned with its own email address, phone number, memory, and file system, enabling it to handle complex authentication flows including SMS-based two-factor verification and email confirmation links. The platform supports a human-in-the-loop model where workflows can pause at designated checkpoints for human review or approval before proceeding, making it suitable for compliance-sensitive processes like KYC checks, vendor approvals, and financial reconciliation. Founded in 2023 by Aryan Sharma and Ayush Pathak, the company raised $2.3 million in pre-seed funding led by Khosla Ventures, with participation from notable angel investors. Induced AI targets small to mid-sized businesses burdened by repetitive back-office processes that span multiple web applications — particularly those without available APIs. Common use cases include employee onboarding across SaaS tools, sales lead enrichment from LinkedIn and CRM platforms, bulk form submissions, and cross-platform invoice processing. The platform enables parallel workflow execution, running multiple browser agents simultaneously to dramatically increase throughput for high-volume tasks.
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Users describe automations in natural language rather than writing scripts or building visual flows. The platform parses intent and translates instructions into browser actions, enabling non-technical users to build workflows that would traditionally require developer involvement.
Every workflow runs in an isolated Chromium browser pre-provisioned with its own memory, file storage, email address, and phone number. This lets agents receive SMS 2FA codes and email verification links autonomously, solving a major pain point for browser automation.
Workflows can pause and request human input for sensitive decisions, then resume autonomously. This hybrid model is critical for compliance, KYC, and approval-gated processes where full automation would be inappropriate or risky.
Multiple browser agents run simultaneously in isolated cloud instances, enabling concurrent processing of high-volume tasks. Each instance maintains its own session state and credentials, preventing cross-contamination between workflows.
Unlike most browser automation tools that fail at MFA gates, Induced AI's instances come with dedicated phone numbers and email accounts that can receive verification codes. This enables automation of login-protected workflows that other tools cannot handle.
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As of early 2026, Induced AI continues to develop its browser automation platform following its $2.3M pre-seed raise. The company has been expanding its agent capabilities and refining its natural language workflow authoring. The browser agent category has seen increased competition, with multiple new entrants offering similar no-code automation features, making Induced AI's purpose-built browser environments and native 2FA handling increasingly important differentiators.
Browser Agents
Browser Use Desktop is an open-source desktop application that gives AI agents direct, reliable access to a Chromium browser for web automation, data extraction, form filling, and multi-step internet tasks. Built on the Browser Use Python framework (16,000+ GitHub stars as of early 2026), it packages the agent-browser bridge into a standalone app with a visual interface for monitoring agent activity in real time. Unlike headless-only automation libraries, Browser Use Desktop renders pages visually so operators can watch, pause, and debug agent sessions. It supports integration with LLM providers including OpenAI, Anthropic Claude, and local models through LangChain, enabling developers to pair any large language model with autonomous browser control.
AI Infrastructure
Headless browser infrastructure built for AI agents — managed Chromium sessions with stealth, session recording, file I/O, and a native MCP server.
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