OpenAGI
Category: AI Agents
OpenAGI develops Lux, an advanced AI agent that uses computer screenshots to perform operations in desktop applications autonomously OpenAGI was founded in 2025. The company is led by Zengyi Qin. Based in Foster City, California, United States. Team size: 11-50. Total funding raised: At least US$7.5 million in disclosed equity funding, reported in October 2025. Latest round: Seed stage (exact details undisclosed). Key investors include N/A.
- Founded
- 2025
- Headquarters
- Foster City, California, United States
- Team size
- 11-50
- Total funding
- At least US$7.5 million in disclosed equity funding, reported in October 2025
Value proposition
Lux claims superior performance over OpenAI and Anthropic models with 83.6% success rate on Online-Mind2Web benchmark at one-tenth the cost
Products and solutions
Lux AI Agent, Agentic Active Pre-training Technology, Computer-Use Foundation Models
Unique value
First foundation model built specifically for computer use, trained with Agentic Active Pre-training using real-world computer interaction data
Target customer
Enterprises and developers requiring autonomous AI agents for complex computer-mediated tasks
Industries served
Technology, Enterprise Software, AI Research, Automation
Technology advantage
Agentic Active Pre-training methodology that learns by acting in digital environments rather than passive text ingestion, achieving 10x cost efficiency
How they differentiate
Claims 83.6% success rate on Online-Mind2Web benchmark, outperforming competitors while costing 10x less and executing actions in 1 second
Main competitors
OpenAI Operator, Anthropic Claude, Google Gemini CUA
Key partnerships
MIT, CMU, UIUC research collaborations, Intel (edge device optimization partnership)
Notable customers
N/A
Major milestones
December 1, 2025: Emerged from stealth mode, December 1, 2025: Released Lux computer-use foundation model, December 1, 2025: Claimed performance superiority over OpenAI and Anthropic
Growth metrics
Claims 83.6% success rate on Online-Mind2Web benchmark, 10x cost efficiency vs competitors
Market positioning
Early-stage disruptor in computer-use AI agents with performance-centric positioning
Geographic focus
Primarily US-based with global deployment potential
Patents and IP
No publicly listed patents as of December 2025
About Zengyi Qin
MIT PhD candidate in Computer Science, previously Co-Founder and AI Research Lead at MyShell, expertise in multimodal AI and computer vision
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Official website: https://agiopen.org