About Great Unicorn Intelligence

Every data-driven decision, open to review

Great Unicorn Intelligence Shenzhen Co., Ltd. (弘犀智能科技(深圳)有限公司) is an AI company built on intelligent modeling and agent technology. Our flagship is the SAM Data Analysis & Scorecard Modeling Platform. With deep algorithmic expertise and a team of scientists and financial experts, we started with the intelligent transformation of retail and corporate credit at banks, and now bring the same bank-proven method to FMCG and marketing, pharmaceuticals and other industries.

Headquartered in Shenzhen, ChinaShenzhen Angel FoF “Preferred Incubated Enterprise”“Most Investment-Worthy Project of 2020”
A bright open-plan office high above the city, with skyline views, a green wall and a glass meeting room
What we do

Hand large-scale cognitive work to AI — safely

With the SAM Data Analysis & Scorecard Modeling Platform at the core — alongside the VDC Variable Derivation Platform, the Deep Hope S1 LLM platform and the Enterprise Agent Platform — we give banking, FMCG and marketing, pharmaceutical and other companies intelligence from data analysis and model validation through to live decisions. Any business question that can be framed as “predict an outcome from historical data” can be solved with the same method and the same gates.

In banking, built on our own core engines and algorithms, P_Hope and E_Hope are retail and corporate credit solutions that combine financial LLMs, agents and engineering frameworks, product design, intelligent marketing, end-to-end risk management and digital operations. They cover consumer, small-business and corporate lending and take banks from acquisition and underwriting to drawdown and post-loan management.

For the era of large models we have made agents our main product direction and R&D focus: we were first to bring the agent paradigm to SAM, and we integrate Harness governance and industry LLMs across the portfolio — modeling platform, variable derivation, industry LLM, agent platform and industry solutions — so companies can hand large-scale cognitive work to AI safely and within the rules.

Who we serve in bankingState-owned banksLeading regional banksPrivate banksRural commercial banksFinancial holding groupsEuropean and US banks
50+leading financial institutionssupported and advised
100+solutions delivered
4,000+retail credit challengessolved to date
10+world-class scientists and experts
Leadership

Algorithms and industry experience, side by side

More than ten world-class scientists and experts — leading researchers in machine learning and computer vision alongside senior risk leaders from JPMorgan, IBM, ING and other global institutions.

Dr. Qiang Wang holds a PhD in Robotics from Carnegie Mellon University and is an IEEE Fellow — an internationally recognized scientist in large language models, machine learning and computer vision, anti-fraud and efficient model production. He has served as President of the U.S. design partnership division at IBM GBS, Principal Research Scientist at IBM Watson, Chief Expert for core and intelligent trading at China Construction Bank, and Chair Professor at UC Berkeley’s robotics and engineering laboratory. Today he is our founder and chief scientist, and a joint professor and doctoral supervisor at several leading universities. He has published more than 100 papers in leading international journals, has served four CVPR conferences in chair and responsible-reviewer roles, and is an associate editor of T-PAMI and TIP.

In industry, Dr. Wang led the development of Wells Fargo’s first small-business asset-inflation fraud model, which has been proven on hundreds of billions of dollars of lending across more than ten versions. He has built and deployed 20+ anti-fraud and risk-model projects in China and abroad, spanning individual, ring, small-business asset-inflation, credit, transaction, guarantee and collateral fraud, and still provides algorithm iteration for several of them. He is a founder of fraud-ring detection technology and the first to apply deep learning to organized fraud; his “multi-tier risk control, precise prediction” philosophy is used across business lines at 20+ leading financial institutions worldwide. Modeling projects he leads here have repeatedly ranked first in POCs, beating well-known peers by 10+ KS points.

Dr. Wang is also chief architect of our agent product family, leading the core methodologies behind agent capability boundaries, the Five Inequalities governance framework and the Harness runtime-control architecture.

Recognition

Industry recognition

  • Preferred Incubated EnterpriseShenzhen Angel Fund of Funds
  • Most Investment-Worthy Project of 2020Shenzhen Enterprise Confederation and Shenzhen Entrepreneurs Association
Get started

Start with one business question. Let SAM deliver a model you can sign off.

Whether you are in banking, FMCG and marketing, pharmaceuticals or another industry, try SAM online first — or talk to our modeling experts about your use case.