Autonomous at scale.
Scalable cycles of planning, action, and verification let agents continue working without constant human direction—even across long-running, complex tasks.
Shenzhen Ques Technology Co., Ltd.
Autonomous, Adaptive, AI Agents.
We structure the uncertain.
Ques brings structured workflows to complex, uncertain tasks. Already at work in geolocation and quantitative trading, our AI agents operate autonomously and improve through experience.
Self-improving over time.
Every outcome becomes feedback. Agents retain lessons, refine their reasoning, and adapt as the evidence, environment, and task change.
Our Products
GeoSeer
AI-Powered Image Geolocation
GeoSeer is a sophisticated platform that uses cutting-edge AI to identify locations from uploaded images. Combining geoestimation models, multi-agent analysis, and reasoning verification, it provides unprecedented accuracy in image-based geolocation.
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Key Features
Fine-tuned geoestimation models for precise location detection
Multi-agent AI architecture with reverse engineering capabilities
Reasoning verification for validated, accurate results
Real-time processing with global coverage
Privacy-first approach - images never stored
Developer API for seamless integration
MetaMind
AI Research for Algorithmic Trading
MetaMind brings autonomous AI agents to quantitative research. It turns research ideas and accumulated learning into test-ready strategy code, validates candidates through structured testing, and audits portfolios to prepare rebalancing plans for human review.
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Our Team
Meet the passionate people behind Ques
Cody
CEO
B.E. in CSE at CUHK(SZ). Quant Researcher at MetaSignalsPro. Award-winning author and province speech champion.
William
COO
B.E. in CSE at CUHK(SZ). Winner of the Cathay Pacific Hackathon. Software Engineer at Ques Technology.
Irene
CMO
B.S. in MS&E at Stanford University. Virality hacker for social media marketing. Growth Engineer at Ques Technology.
Zhuoheng
CTO
M.Sc. in AI at the University of Macau. First author of multiple IEEE journal papers on AI and computer vision. Research Scientist at Ques Technology.
Contact Us
Get in touch with our team
Email[email protected]
Contact Phone+86 13430942314
Office Address
Room 807, Block A, North Phase of Longguang Jiuzuan, Hongshan Community, Minzhi Street, Longhua District, Shenzhen