AutoComputer helps you automate and accelerate workflows on your computer without any explicit configuration, while keeping you in-charge.
With just a prompt and your recent activity, our desktop AI system starts predicting the next sequence of actions – keystrokes, text input, mouse clicks – that you can keep accepting with a single keystroke. This saves you time and effort while providing you complete visibility and control over the completed tasks.
We’re starting with helping businesses and enterprises automate repetitive, but business-critical workflows such as financial data entry, record keeping, and transaction matching.
Watch our demo video below to see AutoComputer in action!
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As engineers, we have tools like Github Copilot, Cursor and software engineering agents that help us accelerate and automate large swaths of our programming workflows with AI.
However, outside programming, this is not the case. Many professionals in roles such as accounting, consulting and bizops have repetitive, critical workflows that they want to accelerate or automate with software, but they don’t yet have an ideal solution for this.
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Based on talking to these users, we learnt that the current generation of RPA and AI Agent-driven automation solutions for their workflows have 3 core issues:
Trust and Accountability
For many tasks they need to ensure accuracy and take accountability. So RPA and Agents that just go off do the task for them are not a viable option. They need full visibility and control while the automation executes.
Configuration Complexity
Real-world workflows are complex and span multiple apps and files. Many solutions can’t handle them without the heavy setup, onboarding, or migration required with the current generation of RPA tools or AI agent-driven automation solutions.
Automation Flexibility
Workflows change frequently across formats and tools and they want automations that can adapt on the fly without reconfiguration. Most automations fail on the slightest variation in data formats, schemas or sources introduced when they had new clients, cases and customers.
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With just a prompt, our desktop AI system automates steps for any complex computer usage workflow that they can accept with a single keystroke. It makes repetitive but critical workflows such as financial data entry 2-5x faster, while providing complete visibility, control, and adaptability—all without requiring any setup, recording, or onboarding to a new platform.
Here’s a how it works:
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We met at university ~7 years ago while doing research in Physics. We have been friends and roommates and have hacked on multiple research and side projects together.
Rick recently dropped out of his PhD where he worked on training transformers on brain-wave data for diagnosis, and built the first at-home brain-tumour monitoring system which he patented.
Madhav worked at Replit as one of the first engineers on the AI team where he led research and training for all of Replit’s models, and worked on data infrastructure, Replit’s core AI services and, most recently, Replit Agent.
Based on our experience in AI research and building products like the Replit Agent, we believe that SOTA models are just crossing the threshold of capability where they can start usefully automating and accelerating large parts of knowledge work beyond just software engineering. We are building AutoComputer to realize this for ourselves and for our users.
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If you are an enterprise or a business with teams doing repetitive back office workflows like data entry, who can benefit from AutoComputer, reach out to us at: founders@autocomputer.ai
If you are an individual or employee who wants to use AutoComputer to accelerate your workflows, you can sign up for our waitlist on https://www.autocomputer.ai/.