Misty forest reflected in still water

About Simular

Building machine autonomy to unleash human potential.

If you’re reading this, you’re probably like us – a knowledge worker who spends well over 1,500 hours a year just clicking, typing and moving on the computer.

We're a research-driven company chasing one goal: full machine autonomy. Every product we ship moves us closer to a world where AI takes over digital labor, freeing people to develop and flourish.

OUR JOURNEY

A timeline of discovery.

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  1. 2026
  2. July 30, 2026 · Research

    Agent S3 paper accepted to TMLR

    Our “Scaling agents for computer use” paper accepted by Transactions on Machine Learning Research

  3. April 23, 2026 · Product

    Sai × Claude Code

    Lets the agent drive coding tools autonomously — no babysitting required.

  4. 2025
  5. July 8, 2025 · Product

    Simular Pro release

    The first production-grade computer use agent in the industry

  6. 2024
  7. December 5, 2024 · Research

    gui-agents v0.1.0 released

    Agent S opens up as a pip library for the first time — anyone can run it on their own machine.

  8. October 9, 2024 · Research

    Agent S paper and framework released

    The first open agentic framework that uses a computer like a human: experience-augmented hierarchical planning + retrieval-based memory + an Agent-Computer Interface.

  9. 2023
  10. August 7, 2023 · Company

    Simular founded

    Building accessible general intelligence to liberate human labor.

2026 — 2023Company milestones
Our approach

Build autonomous systems in real life and bring more freedom to people

Real life

Autonomy needs a closed feedback loop

Continual learning in real life is where actions produce consequences that feed back in.

Full-stack

Autonomy means optimally free

We build not only the user-facing agent interface, but also the virtual machine that the agent runs on to free humans from devices.

Neurosymbolic

Autonomy needs accountability

Our neurosymbolic framework combines the exploratory power of LLMs with the deterministic reliability of code, balancing capability and reliability.

Team

We’re a small group of scientists and engineers from DeepMind, Google, and top AI labs. We’ve worked on cutting-edge reinforcement learning systems, compiler design, and real-world robotics — and now we’re applying that experience to build agents that actually work.

Built by team of AI experts from

Alan

Member of Technical Staff
  • ex-DeepMind, Cerebras Systems
  • ML Infra and systems

Alex

Member of Technical Staff
  • Product Developer with 20+ yoe
  • iOS/macOS expert

Ang

Co-Founder and CEO
  • ex-DeepMind
  • ACM/ICPC World Finalist

Chenchen

Member of Technical Staff
  • Founding engineer of Shopee
  • Full-stack engineering

Dora

Head of People
  • ex-Tiktok
  • MBA from Insead

Eric

Head of Research
  • Professor UC Santa Barbara
  • Multimodal Agents

Hao

Member of Technical Staff
  • Self-driving car engineer at Baidu Apollo
  • MS in Computer Science, UPenn

Jiachen

Co-Founder and CTO
  • ex-DeepMind
  • PhD, Gatech, Multi-agent RL

Lihau

Member of Technical Staff
  • ex-Shopee
  • core maintainer of Svelte

Minh

Member of Technical Staff
  • BS in Computer Science, Purdue
  • ACM/ICPC World Finalist

Richard

Member of Technical Staff
  • First intern at Simular
  • BS in Computer Science, NYU

Rita

Head of Communications
  • Journalist at Techcrunch
  • BA in Political science and Visual arts from Bowdoin College

Robin

Member of GTM Staff
  • MBA, NYU Stern
  • ex-Atlassian, ESPN

Robin

Member of Technical Staff
  • Creator of Enigo - An Open Source Computer Control Toolbox
  • Rust expert

Sam

Community Manager
  • Managed communities for web3 and decentralized AI ecosystem
  • M.S. in Organisational Psychology

Zening

Member of GTM Staff
  • MBA, Berkeley Haas
  • MPhil in Industrious Systems, Cambridge
Backed by

Investors who believe in machine autonomy

Building autonomous computers for human flourishing

Try what we've built — or help us build what comes next.