Skyvern helps companies automate browser based workflows using LLMs and Computer Vision, fully automating manual workflows and replacing brittle or unreliable scripts. Examples include: 1. Automating materials procurement from commerce websites 2. Completing complex multi-step workflows (ie getting an insurance quote from Geico.com) 3. Automatically logging into portals and downloading invoices 4. Navigating legacy content systems to do data extraction or data entry
I'm the founder of Skyvern. We help companies automate complex workflows using AI agents and computer vision. In the past, I've built the ML Platforms at both Faire and Gopuff, which generated over $100M of GMV across their two businesses, I also love bad jokes and puns, so if you have any or are in the need of any feel free to hit me up!
I am the CTO and cofounder of Skyvern. For the past 5 years, I've been building developer and platform tools. At Lyft, I built testing tools (simulation platform, load test framework, and end to end test framework) used by 1000+ engineers to boost dev productivity, ensure Lyft doesn't go down during peak events, and reduce infra cost. At Patreon, I helped scale the payment and db infra to process 20M+ transactions per month and free 100+ engineers from the 3-day monthly code freeze
Skyvern helps companies automate browser-based workflows using LLMs and computer vision. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts.
Most companies weâve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, doing things that donât scale, and evolved to occupy a larger amount of human capital or automated with unreliable scripts.
Example 1 â Automating materials procurement from commerce websites
Letâs say youâre a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with donât support ordering via an API, so you have a human in the loop to transact orders for those vendors. Hereâs an example of Skyvern navigating to finditparts.com and ordering an airbag â all via an API call!
Example 2 â Completing complex multi-step workflows
Letâs say youâre trying to automate complex workflows such as generating insurance quotes. Skyvern can navigate each step until its specified goal is achieved â even if the steps change depending on the userâs situation. Hereâs an example of Skyvern navigating to Geico.com and generating an auto insurance quote with your personalized information.
Our focus is bringing stability to browser-based workflows. We leverage LLMs to create an AI Agent capable of interacting with websites like you or I would â all via a simple API call.
Traditional approaches required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed.
Skyvern operates like a human â increasing reliability by not relying on fragile scripts, instead relying on computer vision to parse items in the viewport and interact with them the way a human would.
This approach gives us a few advantages:
Do you have any complex workflows that youâd love to automate? Were you doing things that donât scale that you now need to scale? Weâd love to chat! Shoot me an email at suchintan@skyvern.com or grab some time via my calendar.