Sai is Simular's always-on agentic AI coworker for real computer work across apps, browsers, and workflows. It provides a secure workspace for desktop, browser, and digital workflow automation.
Sai is an AI Agent platform built by Simular Inc. that operates as an always-on agentic AI coworker capable of performing real computer work across desktop apps, browsers, and digital workflows, with pricing positioned at the enterprise tier. It is built for operations teams, knowledge workers, and businesses seeking to automate repetitive computer-based tasks at scale.
Developed by Simular, which describes itself as 'The Autonomous Computer Company,' Sai goes beyond conventional chatbots by directly interacting with software interfaces the way a human employee would — clicking, typing, navigating browsers, and orchestrating multi-app workflows. The platform runs in a secure workspace environment, isolating agent activity from local machines and giving teams a controlled environment in which autonomous agents can execute tasks. This approach makes Sai well-suited for organizations whose work depends on legacy applications, web portals, or SaaS tools that lack robust APIs but still need to be operated reliably.
Simular was founded by a team of AI researchers (the company emerged publicly around 2023–2024) and maintains an open-source presence on GitHub (github.com/simular-ai), where repositories including the Agent S framework are available. Agent S is an open-source autonomous computer-use agent that has been referenced in academic discussions of GUI-based agent architectures. Sai sits in the rapidly growing 'computer-use agent' segment alongside competitors like Anthropic's Computer Use, OpenAI Operator, Adept, and open-source alternatives. What differentiates Sai is its research-driven foundation combined with its emphasis on always-on, persistent operation rather than one-shot task automation. Compared to other AI agent tools, Sai targets enterprise workflow automation rather than developer-focused agent frameworks, making it more comparable to RPA platforms reimagined with modern multimodal LLMs. The product is delivered web-based and is offered through Simular for Business, with a separate consumer/individual product (Simular) also available from the same company.
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Sai is designed to run continuously rather than as a one-off task runner, behaving like a persistent digital coworker that can pick up work, monitor systems, and act when conditions change. This persistent model is well-suited to operational workflows where work arrives unpredictably throughout the day.
All agent activity occurs inside a managed secure workspace that isolates execution from the user's local machine and from broader corporate systems. This sandboxing is positioned as a core enterprise feature, reducing the blast radius if an agent makes a mistake or encounters an unexpected interface.
Sai can operate both desktop applications and web browsers, navigating UIs, clicking, typing, and moving data between tools. This is broader than the browser-only scope of many agentic competitors and is what enables it to handle real office work involving legacy and SaaS applications side-by-side.
Beyond single-task automation, Sai is positioned to orchestrate multi-step digital workflows that span several applications. This makes it suitable as a replacement or complement to traditional RPA tooling for processes that previously required brittle scripts or manual hand-offs.
Simular publishes a research page and maintains an open-source GitHub organization (github.com/simular-ai), with Sai built on the company's ongoing work in autonomous computer agents including the Agent S framework. Buyers can inspect the open-source code and published papers to evaluate the underlying methodology rather than relying solely on marketing claims.
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As of early 2026, Simular's public GitHub repositories (github.com/simular-ai) show continued development on the Agent S framework that underpins Sai's computer-use capabilities. The company's website lists Simular for Business as actively available with enterprise onboarding. Prospective buyers should contact Simular directly for the most current feature set and release notes, as the product is evolving rapidly in a fast-moving category.
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