Simular Inc.
Simular aims to free humans from computers and devices through AI agents, enabling people to live better, more human lives. The company builds autonomous computer agents that can navigate interfaces and complete workflows across desktops, browsers, and smartphones, freeing knowledge workers from repetitive computer work.
At a Glance
- Insurance companies
- Healthcare organizations
- Recruiting and HR departments
- Travel agencies
- +6 more
AI Tools by Simular Inc.
(1)
Simular
Autonomous Desktop and Web Agents
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Latest News
Simular Raises $21.5M to Build Autonomous Computer Agents
Simular launches Simular 1.0, first desktop-native AI agent for consumers
Simular's Agent S Outperforms Humans on OSWorld Benchmark with 72.6% success rate
Simular Invited by Microsoft to Pilot Windows 365 for Agents
Products & Services
An advanced desktop-native AI agent for MacOS 15+ Silicon that operates across applications and automates computer tasks. Features a Bigfoot persona and includes workflow editor, developer mode, community gallery for workflow sharing, VM support, zero data retention from LLM providers, and advanced security features.
A web-based platform to run open-source general agents in the cloud without local setup. Offers both free (public computer use with queue) and private ($50/month) options for dedicated computers.
An open-source agentic framework for autonomous computer use via experience-augmented hierarchical planning. Uses neural exploration, symbolic execution, and continual learning. Available on GitHub with 9.6k+ stars.
A modular AI agentic framework for interacting with computer GUIs through hierarchical planning and visual grounding.
Market Position
Simular positions itself as 'The Autonomous Computer Company' and is a leader in computer-use agents. The company ranks #1 on the OSWorld Computer Use Benchmark with a 72.6% success rate (surpassing human baseline of 72.36%), 90.1% on WebVoyager (Browser Use), and 71.6% on AndroidWorld (Smartphone Use). Unlike competitors like OpenAI and Anthropic's Claude Computer Use that focus on API-based solutions, Simular provides both open-source frameworks (Agent S) and native desktop applications. The company differentiates through its neuro-symbolic approach, combining neural exploration with symbolic execution for reliable, repeatable automation. Simular's hybrid system solves the AI hallucination problem through continual learning and transparent, inspectable execution.
Leadership
Founders
Ang Li
CEO and Co-Founder. PhD in Computer Science from University of Maryland College Park (thesis on spatial perception from visual and linguistic information). Previously worked at Google DeepMind (Waymo autonomous driving, Google Maps ETA prediction, resource efficiency), Baidu Apollo (autonomous driving as Principal Scientist), Facebook AI Research (Visual N-Grams), CMU Robotics, Apple, Google Streetview, and Comcast Labs DC. ACM/ICPC World Finalist. Over 40 publications in venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, and ICLR.
Jiachen Yang (JC Yang)
Co-Founder and CTO. PhD in Machine Learning from Georgia Institute of Technology (dissertation on Cooperation in Multi-Agent Reinforcement Learning, 2021), supervised by Prof. Hongyuan Zha and Prof. Tuo Zhao. M.S. in Computer Science from Georgia Tech, B.S. in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley. Previously worked at Lawrence Livermore National Laboratory (Staff Scientist), DeepMind, Electronic Arts, and Honda Research Institute leading agent creation and research. Specialist in multi-agent deep reinforcement learning. US Patent holder for cooperative multi-goal, multi-agent, multi-stage reinforcement learning.
Executive Team
Ang Li
CEO and Co-Founder
Ex-DeepMind, ACM/ICPC World Finalist, PhD from University of Maryland
Jiachen Yang (JC Yang)
CTO and Co-Founder
Ex-DeepMind, PhD from Georgia Tech, specialist in Multi-agent RL
Board of Directors
Founding Story
Simular was founded in 2023 by former DeepMind scientists Ang Li and Jiachen Yang who envisaged a shared vision: to harmonize human and AI intelligence, creating technology that empowers rather than replaces. The company emerged from the founders' extensive research background in reinforcement learning, autonomous agents, and computer vision, with the team researching AI agents since 2017. Their goal is to develop a neuro-symbolic continual reinforcement learning framework for building agents that work like humans, ultimately achieving AGI through autonomous computer use.
Business Model
Revenue Model
Subscription-based SaaS model with tiered pricing (Plus, Pro, Enterprise) for desktop agents and cloud-based agents. API usage-based model for computer automation. Additional revenue from enterprise licenses with dedicated support and co-marketing partnerships.
Pricing Tiers
10,000 reloadable credits, 1 developer agent, community support, $10 referral bonuses
Unlimited credits, 1 free deployment agent, zero data retention, priority engineering support, $100 referral bonuses
Unlimited agents, managed scaling, dedicated account/engineering team, co-marketing partner options, SOC2, HIPAA, SSO, RBAC
Public computer use (requires waiting in a queue)
Dedicated computer in the cloud
Target Markets
- Insurance companies
- Healthcare organizations
- Recruiting and HR departments
- Travel agencies
- Knowledge workers
- Digital operations teams
- Insurance industry workflow automation
- Recruiting and HR processes
- Travel booking and coordination
- Healthcare forms and compliance
- Personal scripting and automation
- Business operations automation
- Workers in insurance sector
- Recruiting professionals
- Travel industry workers
- Microsoft