Vern offers a low-code platform for building AI-powered browser agents that automate repetitive web tasks and data extraction. Its agents adapt to website changes and can be integrated into existing applications via an SDK, streamlining workflows and improving data accuracy.
Funding
$169.1K 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
Manual execution of repetitive web-based tasks consumes significant operational bandwidth and is prone to human error. Extracting and integrating data from various web platforms into existing applications is a complex, code-intensive process.
Solution
Vern provides a low-code platform for creating AI-powered browser agents that automate repetitive web tasks. Users can record actions once, and these agents can then reliably execute those tasks, including data extraction and application integration via an SDK. Vern's agents are engineered for resilience, adapting to changes in web page structures to ensure continuous automation without manual intervention. This approach streamlines workflows, reduces operational overhead, and improves data accuracy for businesses.
Target Audience
The primary target audience includes startups and businesses seeking to automate data extraction and repetitive web tasks, particularly those with engineering teams looking to integrate automation into their applications via an SDK.
Features
- Low-code interface for recording and configuring web task automation sequences.
- AI-driven web agents capable of adapting to dynamic web page element changes.
- SDK for seamless integration of automated data extraction and task execution into existing applications.
- Support for user authentication, including magic link capabilities.
- Webhook notifications for task completion status.
- Natural language processing for data extraction from web page content.
- Self-healing capabilities to maintain operational continuity.