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Simular Tech Stack

On-device AI agent for automating workplace tasks

Technology, Information and Internet Palo Alto 2–10 employees Founded 2023 Privately Held
simular.ai LinkedIn

Simular builds a local AI agent designed to run on personal devices and automate routine work tasks. The stack—Python, PyTorch, JAX, React, SwiftUI—reflects a machine-learning foundation paired with native desktop and mobile frontends. Active projects span deployment challenges (real-world agent deployment, VM orchestration), multimodal reasoning, and a backend cloud service, signaling early-stage friction between local-first architecture and cloud infrastructure needs.

Tech Stack 14 technologies

Core StackPython PyTorch JavaScript Go Rust Figma React TypeScript SwiftUI JAX JavaScript/TypeScript Bash Discord X

What Simular Is Building

◆Challenges

  • Deploying ai agents to real-world environments
  • Go-to-market strategy
  • Adapting ai agents to customer-specific environments
  • Reliability of distributed systems
  • Technical roadmap risk
  • Vm orchestration
  • Employment compliance across jurisdictions
  • Scaling backend services
  • Automating repetitive ops workflows
  • Building content and community from scratch

▲Active Projects

  • Deploying ai agents to real-world environments
  • Multimodal grounding
  • Go-to-market strategy
  • Simular cloud backend
  • Customer onboarding playbook design
  • Internal automation for onboarding checklists
  • Building custom solutions and workflows
  • Candidate pipeline tracking automation
  • Planning and rl for computer use
  • Core product development

Hiring Activity

Decelerating25 roles · 4 in 30d

Department

Engineering
9
Marketing
7
Research
4
Design
2
Other
2
HR
1
Operations
1

Seniority

Intern
10
Mid
8
Senior
5
Lead
2

Notable leadership hires: Community Lead

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About Simular

Simular is a two-year-old AI agent startup based in Palo Alto, founded by Ang Li and Jiachen Yang. The product runs on user devices to automate manual workplace tasks—email handling, task management, scheduling—without offloading computation to the cloud. The team is small (2–10 headcount) but distributed across engineering, research, marketing, and design roles, with active hiring in the United States and Singapore. Pain points include real-world deployment reliability, customer-specific adaptation, and scaling backend services.

HeadquartersPalo Alto
Company Size2–10 employees
Founded2023
Hiring MarketsUnited States, Singapore

Frequently Asked Questions

What tech stack does Simular use?

Python, PyTorch, JAX for the ML core; JavaScript/TypeScript, React, and SwiftUI for frontend; Go and Rust for infrastructure. The stack emphasizes local execution and native platform integration.

What is Simular working on?

Core projects include real-world agent deployment, multimodal grounding for reasoning, a cloud backend service, go-to-market strategy, and planning/RL systems for computer use automation.

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