SOLUTIONS / QUANTUM–AI IN PRACTICE

Quantum–AI solutions for the critical bottlenecks in high-value industries.

QIC develops domain-specific solutions for drug discovery and financial intelligence—two industries where scientific complexity, data limitations and computational scale create difficult, high-value problems.

01 / DRUG DISCOVERY

QUEST™

Innovating the critical bottlenecks in drug development.

QUEST™ applies specialized modules to hit discovery, hit-to-lead and lead optimization, and preclinical prediction—where programs frequently lose time, cost and probability of success.

Hit identification, multi-property lead optimization and preclinical ADMET/PK prediction remain costly, uncertain bottlenecks. Data-only AI can struggle when data is sparse, biased or unable to represent the underlying molecular physics.

Explore QUEST™
APPLIED TO A PROPRIETARY PROGRAMα4β7-targeted drug development

QUEST supports candidate discovery and optimization within QIC’s oral drug-development program.

Explore the program

02 / FINANCIAL INTELLIGENCE

FintelliQ™

Intelligence for prediction, optimization and risk under real constraints.

FintelliQ™ organizes financial Quantum–AI into four solution portfolios and validates selected modules through domain partnerships and industry PoCs.

Credit, portfolio, risk and anomaly problems combine large variable spaces, rare events, changing market conditions and operational constraints. Predictive accuracy alone is not sufficient; models must also be stable, explainable and usable in real workflows.

Explore FintelliQ™
INDUSTRY PoC IN PROGRESSNICE Information ServiceKorea’s No.1 credit information services company

Two connected validation tracks explore credit-risk differentiation and decisions under lending constraints.

Explore the PoC

QIC SOLUTION PRINCIPLE

The right technical architecture begins with domain knowledge.

QIC’s core competency is knowing which problem in which industry should be addressed, where advanced computation can create value, which technical methodology and algorithm should be applied, and how the result should be validated against domain outcomes.

01

Define the bottleneck

Frame the real decision, data conditions, operational constraints and success criteria with domain experts.

DOMAIN PROBLEM
02

Design the method

Select and combine the appropriate AI, quantum method, scientific model and validation approach.

HYBRID ARCHITECTURE
03

Validate in context

Compare against established methods, experimental evidence and industry requirements.

REAL-WORLD EVIDENCE

03 / EXPLORE THE SOLUTIONS

Go deeper into the problem, method and evidence.