Simular is building the world’s first autonomous computers—systems that can use software like humans do.
From browsing websites and filling out spreadsheets to running creative tools and managing workflows, Simular enables a new era of human-computer interaction where software operates itself.
Whether you’re a solo founder, a global enterprise, or an AI researcher, Simular gives you access to the future of computing: computers that think, act, and get things done—autonomously.
Sai is the world's first robosecretary that works with a fleet of autonomous computers, doing your endless screen work. Each computer navigates software the way you do: reads the screen, clicks the button, types in the form. Trained to interact with the computer interface, Sai automates software even when they lack APIs: legacy desktop apps, internal portals, anything behind a login. Sai supports Windows, macOS and Linux. 73% on OSWorld.
@ristan_nakko YES, that's exactly the gap Sai is built for. It drives the app the same way you would, clicking, typing, reading the screen, so it doesn't stop where the API does. Sai also runs across Windows, macOS, and Linux, that system that your work lives.
Having followed Simular's previous releases, Sai feels like a massive step forward for agentic workflows. What immediately stands out is the practical focus on operating at the interface layer—being able to handle legacy desktop apps, internal portals, and tasks behind logins without needing custom APIs is a huge win.
A few highlights that really make this release stand out:
True Parallel Fleet Architecture: Running tasks across multiple dedicated cloud computers rather than a single local instance makes scaling complex workflows seamless.
Smart Snapshot & Cost Efficiency: Reducing token usage without sacrificing screen-reading accuracy brings the cost per task down significantly (and makes the free tier viable).
High OSWorld Benchmark Score: Scoring 73% on OSWorld 2.0 while staying lower in cost per task than competing models shows serious engineering optimization behind the scenes.
Thoughtful Safety & Adaptation: The ability to gracefully pause, ask for human input on major UI redesigns, and use tiered approvals builds real trust for production use.
Excited to see how the team continues to refine handling edge cases and dynamic layouts. Congrats to the whole Simular team on another great launch! 🚀
BiRead
Finally, an agent that works beyond a browser tab
Simular
@ll_wen That was a big one for us too 🙌
Docusaurus
Congratulations on the launch guys! Stellar team and product
Ami AI
This is very very cool. As a CEO, this is something I'd be interested to use, but how does it build trust?
I am eager to try out this product, will post the review
HyNote AI
Our internal tool barely has an API, so most automation products stop before the real useful part.
A computer that can work through the app itself opens up tasks we have left manual for years.
Simular
@ristan_nakko YES, that's exactly the gap Sai is built for. It drives the app the same way you would, clicking, typing, reading the screen, so it doesn't stop where the API does. Sai also runs across Windows, macOS, and Linux, that system that your work lives.
Tanka
Having followed Simular's previous releases, Sai feels like a massive step forward for agentic workflows. What immediately stands out is the practical focus on operating at the interface layer—being able to handle legacy desktop apps, internal portals, and tasks behind logins without needing custom APIs is a huge win.
A few highlights that really make this release stand out:
True Parallel Fleet Architecture: Running tasks across multiple dedicated cloud computers rather than a single local instance makes scaling complex workflows seamless.
Smart Snapshot & Cost Efficiency: Reducing token usage without sacrificing screen-reading accuracy brings the cost per task down significantly (and makes the free tier viable).
High OSWorld Benchmark Score: Scoring 73% on OSWorld 2.0 while staying lower in cost per task than competing models shows serious engineering optimization behind the scenes.
Thoughtful Safety & Adaptation: The ability to gracefully pause, ask for human input on major UI redesigns, and use tiered approvals builds real trust for production use.
Excited to see how the team continues to refine handling edge cases and dynamic layouts. Congrats to the whole Simular team on another great launch! 🚀
Macaly
a fleet of computers doing the boring work is the right framing 🔥 how does it handle flaky legacy UIs?