Robotic Process Automation Developer

About [Employer hidden]

[Employer hidden] builds enterprise-grade web agents that companies use to integrate with legacy portals. We handle everything from building the web agents for you to integrating directly with your existing software stack like forward deployed engineers.

Customers use [Employer hidden] in production right now to:

• submit information from outbound calls into freight software
• edit and download their customers’ invoices
• fetch websites’ internal APIs
• and more.

Demo Video 1

The Problem

Legacy portals aren’t well suited for web agent automation — portals are unintuitive to navigate and functionality is often broken. Existing web agents like Operator lack fine-grained control over agent behavior and can’t consistently perform these critical legacy workflows.

A fully autonomous AI might fail to reach the desired page, get stuck pressing a broken button, or mistype critical information like an invoice amount or a shipping address. Without control over agent behavior and clear observability during workflows, web agents are blocked from being used during production in these critical scenarios.

The Solution

[Employer hidden] is the production-grade web agent platform that enables AI agents to reliably do work on legacy portals at scale. You can see a live demo of [Employer hidden] below – the demo is at 1x speed.

Demo Video 2

We’ve engineered [Employer hidden] to give AI agent developers control, transparency, and reliability. With [Employer hidden] you can:

• easily integrate with your existing stack – pass the results from LLM calls, databases, your existing agents into [Employer hidden]
• cache element actions for speed and consistent performance
• build strong evals to stress-test your workflows at scale and emulate production conditions
• scale up to 100s of concurrent browser sessions while handling CAPTCHAs, 2FA, and website authentication on your customers’ portals
• ensure no incorrect actions are taken — if you prompt our agents to click on elements that don’t exist on the page, we'll raise an exception
• debug with shareable session replays and detailed agent logs

The Team

Shreya Karpoor and Marco Nocito are MIT grads who’ve spent years doing computer vision work at Waymo, Tesla, and within MIT labs. They’re excited to use their expertise to bring reliable web agents into widespread production.

Our Ask

Book a call here if you want to request API access.

Visit our website here to see a live demo of [Employer hidden].