M
MiningLamp
AI · Dongcheng District, China · Founded 2014 · IPO 2025
Claims to provide the safest customized big data solutions to companies MoreLess
Mininglamp Technology is a leading provider of AI-driven data analytics solutions, specializing in precision marketing and operational efficiency for enterprises. The company serves a diverse range of clients, including mother and child brands, by helping them reach their target audiences more precisely and efficiently. Operating in the data analytics and artificial intelligence market, Mininglamp leverages advanced technologies to accumulate and process organizational intellectual assets, enabling high-level AI applications with analytical decision-making capabilities. The business model revolves around offering tailored data solutions that integrate seamlessly with clients' existing systems, thereby enhancing their operational efficiency and marketing effectiveness. Mininglamp generates revenue through a combination of subscription-based services, customized solutions, and consulting fees. The company is committed to creating a better world for its human peers by connecting people and machines within enterprises.
Keywords: AI-driven, data analytics, precision marketing, operational efficiency, mother and child brands, organizational assets, decision-making, subscription services, customized solutions, consulting fees.
Talent graph
MiningLamp's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where MiningLamp has talent and traffic
team presence
across markets
Market sentiment
What the market is saying about MiningLamp
An AI-synthesized read of the highest-engagement posts about MiningLamp on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
See MiningLamp on the full Dealroom platform
Live deal flow, founder pedigree, hiring signals, revenue trajectory, and the full cap table.







