Turning Unstructured Data into Intelligenced
We are a knowledge mining & generation company dedicated to improve understanding data for enterprises and scientist, accelerating the application development and uncovering new connections
Trusted by:
From Complexity To Ground Truth
What UDA brings to the table
UDA or Unstructured Data Agent, is QNOW’s hybrid cognitive architecture for transforming unstructured data into actionable knowledge. It combines AI agents, traditional applications, business rules, knowledge graphs, and graph reasoning to build reliable, knowledge-driven solutions UDA converts unassociated transactions into client-linked payments, automating 70% of manual identification work for 10,000+ transactions
Coming Soon
Complexometrum
Want to know if your dataset is Quantum AI-ready? Complexometrum analyzes data complexity and identifies opportunities for quantum-enhanced machine learning
Measurable Impact. Real Value
Credit provider
Because Dominican banks data is inconsistent and lacks client IDs on deposits, Zenziya's entire credit follow-up process was manual. Employees were trapped in 8-hour daily cycles cross-referencing disconnected sheets to identify clients—an unsustainable bottleneck for growth.
What UDA Achieved
10,454
Montly Transactions identified
70%
Automation ratea
0.6%
Error rate automatic identification
Research & Breakthroughs
Q2SAR: A Quantum Multiple Kernel Learning Approach for Drug Discovery
Alejandro Giraldo, Daniel Ruiz, Mariano Caruso , Javier Mancilla , Guido Bellomo
Quantum QSAR for drug discovery
Alejandro Giraldo, Daniel Ruiz, Mariano Caruso, Guido Bellomo
Quantitative Structure-Activity Relationship (QSAR) modeling is key in drug discovery, but classical methods face limitations when handling high-dimensional data and capturing complex molecular interactions. This research proposes enhancing QSAR techniques through Quantum Support Vector Machines (QSVMs).
