Twin enables users to build AI agents through natural language conversations, turning vague ideas into functional workflows without upfront coding. The platform automatically connects to existing APIs or employs browser automation to interact with services lacking an API, and agents can be scheduled or triggered via webhooks for continuous operation. Users can also publish and discover agents within the community marketplace.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many office workers spend a significant amount of time on repetitive digital tasks, such as navigating websites and applications to collect and input information. These tasks, while intuitive for humans, involve a lot of manual clicking, copying, and pasting, leading to wasted time and reduced productivity.
Solution
Twin Labs is developing an AI-powered automation platform designed to mimic human actions on computers, streamlining repetitive digital workflows. The platform uses a novel architecture combining vision, code, and reasoning models to enable the AI to navigate websites and applications, collect data, and input information autonomously. By automating these tasks, Twin Labs aims to free up employees to focus on more strategic and creative work, increasing overall operational efficiency. The AI is designed to perform tasks the way humans do, making it capable of handling a wide range of digital processes.
Target Audience
The primary target audience is businesses looking to improve operational efficiency by automating repetitive digital tasks performed by their employees.
Features
- AI-driven automation of repetitive tasks across websites and applications
- Combines vision, code, and reasoning models to mimic human actions
- Autonomous data collection and input
- Streamlines digital workflows