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Simular AI

Category: AI Agents

Infrastructure for AI agents to automate computer tasks. The company develops open-source frameworks and a native macOS agent that allows AI to perceive, reason, and act within desktop and browser environments, enabling automation of complex workflows. Simular AI was founded in 2023. The company is led by Ang Li. Based in Palo Alto, California, United States. Team size: 10-50. Total funding raised: ~$27M total (all rounds). Latest round: Series A ($21.5M, Dec 2025 led by Felicis with nVentures, Basis Set). Key investors include ["Basis Set Ventures","Flying Fish Partners","Samsung NEXT Ventures","South Park Commons","Felicis Ventures","NVentures","Xoogler Ventures","Lenny Rachitsky"].

Founded
2023
Headquarters
Palo Alto, California, United States
Team size
10-50
Total funding
~$27M total (all rounds)

Value proposition

Enables developers and users to deploy reliable, research-driven AI agents that can handle real-world digital complexity through improved reasoning, collaboration, and robust automation capabilities.

Products and solutions

["Simular for macOS (Browser Agent)","S2 (Open-Source Framework for Computer Agents)","Developer SDKs"]

Unique value

Draws from advanced reinforcement learning and multi-agent systems research to enable robust, long-term planning. Its open-source framework, S2, is designed to be modular and has outperformed models from OpenAI and Anthropic on desktop and mobile interface benchmarks.

Target customer

Enterprise developers and individual users building or utilizing applications that require advanced autonomous agents for task automation on computers.

Industries served

["Robotics & Automation","Logistics","Simulation/Gaming","Enterprise Software","R&D Labs"]

Technology advantage

Proprietary architecture inspired by reinforcement learning techniques from DeepMind. The system combines large language models (LLMs) for exploration with the ability to convert successful task completions into stable, symbolic code for reliable and repeatable execution.

How they differentiate

Focuses on multi-agent, collaborative, and robust architectures for complex environments, as opposed to single-task automation or code generation. The architecture converts successful agent actions into symbolic, reusable code for increased reliability.

Main competitors

["Adept AI Technologies Inc.","Cognition Labs (Devin)","OpenAI","Microsoft (AutoGen)"]

Key partnerships

["Microsoft (Windows 365 for Agents program)","Undisclosed enterprise partners for pilot deployments."]

Notable customers

["Car dealership (automating VIN number searches)","HOAs (extracting contract information from PDFs)"]

Major milestones

["Achieved #1 ranking on the OSWorld Computer Use Benchmark.","Received Best Paper Award at the ICLR 2025 Agentic AI for Science workshop.","Featured in major tech media outlets like Wired and The Register.","Launched Simular for macOS, a native AI agent.","Raised $21.5M Series A led by Felicis (Dec 2025).","Accepted into Microsoft Windows 365 for Agents program.","Launched Sai - 24/7 AI co-worker.","Achieved 90.1% on WebVoyager, 72.6% on OSWorld (super-human), 71.6% on AndroidWorld."]

Growth metrics

Team grown to ~10 staff within the first year; launched a native macOS agent and open-source framework (S2).

Market positioning

Positioned as a provider of advanced, research-driven infrastructure for desktop and browser-based AI agents, targeting both developers and enterprise users.

Geographic focus

Global, with initial focus and presence in the UK/EU and the United States (associated with South Park Commons).

Patents and IP

Information not publicly available.

About Ang Li

Ang Li is the Founder and CEO of Simular, a company focused on creating AI agents that can operate computers like humans. His work aims to build lifelong autonomous agents. Prior to Simular, he contributed at Google DeepMind, Baidu Apollo, Facebook AI Research, CMU Robotics, Apple, Google Streetview, and Comcast Labs DC. Ang holds a Ph.D. in computer science from the University of Maryland College Park, focusing on spatial perception from visual and linguistic information.

Official website: