👋 Hi, we’re Simular
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 dragging across screens.We believe AI should give people their time back.
That means freeing you from repetitive computer work, so you can spend more time with your family, out in nature, or doing the creative, strategic things that you always love.
Simular is a research-driven company focused on achieving AGI through building agents that work like humans. Each product we launch is a step toward truly autonomous computers, designed to solve real pain points and unlock human potential.
Our Approach
Most AI agents today rely entirely on LLMs. They’re great explorers but poor executors -- and can’t scale to real workflows. Traditional RPAs are stable and deterministic, but are limited to predefined actions and rigid APIs.
Simular takes the neuro-symbolic approach to achieve lifelong reinforcement learning, combining the flexibility of LLMs with the precision of symbolic code.
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.


- DeepMind Research Scientist
- Large scale continual learning
- ML Infrastructure

- PhD Georgia Tech
- Reinforcement Learning
- Multi-agents

- Professor UC Santa Barbara
- Multimodal Understanding
- Embodied agents

- Full-stack app developerment expert with 20+ years of experiences

- First intern at Simular
- BS in Computer Science and Economics, NYU

- Self driving car engineer
- MS in Computer Science, UPenn