Making real commerce usable by AI agents.
We build the merchant-side infrastructure that helps AI understand what a business offers and connect that understanding to a real commercial outcome.
A practical entry point: Agentic Page.
Merchants already have websites, catalogs and commerce systems. Agentic Page organizes that information for AI while the merchant keeps its existing customer experience.
Merchant context
Products, media, policies and available commercial information.
A real network
1,500+ merchant installs provide a starting point in real business environments.
Observable outcomes
AI discovery and available order attribution help us understand what is working.
From commerce access to commerce intelligence.
Our next layers focus on agent actions, verifiable outcomes and environments for evaluating and improving commercial decision-making.
Commerce experience, product craft and engineering.
Jia Ouyang
Leading DeepLumen's company direction and the development of its agentic commerce business.
徐鑫 · Xu Xin
Tsinghua mathematics and statistics background. Former senior product manager at ByteDance's Feishu, with experience building enterprise data and product systems.
李智超 · Li Zhichao
14 years in internet technology. Former data and AI product technology lead at Lilith Games, with experience in large-scale data and AI systems.
Alongside core team members Gary Zhou, Joy Wu and Adam Wang.
Build the next commerce connection with us.
For merchants, agencies, commerce platforms and teams building AI agents.