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Sai

Sai

AI

A computer-use agent that operates a fleet of cloud or local computers, clicking and typing through real apps to finish recurring screen work.

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Free Available
Starting from Free
Premium plans available

About Sai

Sai is Simular's flagship computer-use agent (CUA) — a "robosecretary" that turns a private cloud VM or your own Mac or Windows machine into a computer that operates itself. Rather than calling APIs, Sai reasons and acts inside real interfaces, clicking and typing through browsers and desktop apps the way a person would, so it works with whatever software you already use and needs no per-app integration. You describe a task in plain language once; Sai builds a repeatable workflow, reruns it on a schedule unattended, and gets more reliable and cost-efficient with each run. It is built on Simular's neurosymbolic Agent S research framework, which the company reports saves over 90% of token usage on long-horizon tasks and took the top spot on the OSWorld benchmark for agents using real computers. Work runs on autonomous cloud computers, so tasks continue after you close your laptop, with visible execution and built-in safety guardrails.

Screenshots

Sai screenshot 1
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Key Features

Autonomous Computer Fleet: Runs tasks on dedicated Windows or Linux cloud VMs — up to five at once on paid plans — so work continues after you close your laptop, or on your own Mac or Windows device with no computer-time cost.
Real Interface Control: Clicks and types through browsers and native desktop apps exactly as a person would, so Sai works with existing software without APIs, connectors, or per-app integrations.
Teach-Once Workflows: Describe a task in plain language and Sai builds a reusable workflow that it can replay on a schedule, becoming more reliable and cheaper on every subsequent run.
Neurosymbolic Agent S Engine: Built on Simular's open-source Agent S computer-use framework — an ICLR Agentic AI workshop Best Paper — which the company reports cuts agent token usage by over 90% on long-horizon reasoning.
OSWorld-Topping Performance: Ranked first on OSWorld, the benchmark for agents operating real computers, leading on both task capability and cost efficiency.
Simulang Scripting: An open-source scripting language for computer control that automates browsers, native applications, and OS-level workflows for developers who want code-level repeatability.
Transparent Execution with Guardrails: Every action is visible as it happens and constrained by built-in safety guardrails, so unattended runs stay auditable.
Enterprise Deployment: SSO, RBAC, SOC 2, managed scaling, custom integrations, and SLAs for organizations running high volumes of repetitive computer work, including Windows 365 for Agents.

Use Cases

Recurring Back-Office Tasks: Rebuilding the same weekly report or running a Monday-morning process across several tools that do not talk to each other.
Sales Operations: Updating CRM records, researching prospects, and pulling together account information across web apps without manual data entry.
Finance Workflows: Moving invoice, reconciliation, and reporting steps between accounting software and spreadsheets on a fixed schedule.
Legacy Software Automation: Driving desktop or internal applications that expose no API, where screen-level control is the only integration path.
Marketing Operations: Collecting campaign data, updating listings, and repeating publishing steps across multiple platforms.
Developer Research: Using the open-source Agent S framework and Simulang to build and benchmark custom computer-use agents.

Frequently asked questions about Sai

What is Sai?

A computer-use agent that operates a fleet of cloud or local computers, clicking and typing through real apps to finish recurring screen work.

How does Sai work?

Sai works by combining Autonomous Computer Fleet: Runs tasks on dedicated Windows or Linux cloud VMs — up to five at once on paid plans — so work continues after you close your laptop, or on your own Mac or Windows device with no computer-time cost., Real Interface Control: Clicks and types through browsers and native desktop apps exactly as a person would, so Sai works with existing software without APIs, connectors, or per-app integrations., Teach-Once Workflows: Describe a task in plain language and Sai builds a reusable workflow that it can replay on a schedule, becoming more reliable and cheaper on every subsequent run., Neurosymbolic Agent S Engine: Built on Simular's open-source Agent S computer-use framework — an ICLR Agentic AI workshop Best Paper — which the company reports cuts agent token usage by over 90% on long-horizon reasoning., OSWorld-Topping Performance: Ranked first on OSWorld, the benchmark for agents operating real computers, leading on both task capability and cost efficiency. to help users with Recurring Back-Office Tasks: Rebuilding the same weekly report or running a Monday-morning process across several tools that do not talk to each other., Sales Operations: Updating CRM records, researching prospects, and pulling together account information across web apps without manual data entry., Finance Workflows: Moving invoice, reconciliation, and reporting steps between accounting software and spreadsheets on a fixed schedule., Legacy Software Automation: Driving desktop or internal applications that expose no API, where screen-level control is the only integration path., Marketing Operations: Collecting campaign data, updating listings, and repeating publishing steps across multiple platforms..

What are the main features of Sai?

Key features include Autonomous Computer Fleet: Runs tasks on dedicated Windows or Linux cloud VMs — up to five at once on paid plans — so work continues after you close your laptop, or on your own Mac or Windows device with no computer-time cost., Real Interface Control: Clicks and types through browsers and native desktop apps exactly as a person would, so Sai works with existing software without APIs, connectors, or per-app integrations., Teach-Once Workflows: Describe a task in plain language and Sai builds a reusable workflow that it can replay on a schedule, becoming more reliable and cheaper on every subsequent run., Neurosymbolic Agent S Engine: Built on Simular's open-source Agent S computer-use framework — an ICLR Agentic AI workshop Best Paper — which the company reports cuts agent token usage by over 90% on long-horizon reasoning., OSWorld-Topping Performance: Ranked first on OSWorld, the benchmark for agents operating real computers, leading on both task capability and cost efficiency..

Who is Sai for?

Sai is useful for anyone interested in Recurring Back-Office Tasks: Rebuilding the same weekly report or running a Monday-morning process across several tools that do not talk to each other., Sales Operations: Updating CRM records, researching prospects, and pulling together account information across web apps without manual data entry., Finance Workflows: Moving invoice, reconciliation, and reporting steps between accounting software and spreadsheets on a fixed schedule., Legacy Software Automation: Driving desktop or internal applications that expose no API, where screen-level control is the only integration path., Marketing Operations: Collecting campaign data, updating listings, and repeating publishing steps across multiple platforms..

How much does Sai cost?

Sai offers a free tier with paid plans for advanced features.

How do I get started with Sai?

Visit https://simular.ai/ to sign up and explore Sai.

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