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Experience the magic of applying science in transforming organizations

Experience the magic of applying science in transforming organizations

Phi Labs: Where Science Meets Transformation

Phi Labs is Quantiphi’s R&D powerhouse, driving next-generation AI innovation with real-world impact. From pioneering advances in generative AI and digital twins to solving complex challenges in life sciences, Phi Labs explores emerging frontiers before they become mainstream.

Our multidisciplinary teams of researchers and engineers collaborate to translate deep scientific exploration into enterprise-ready solutions—strengthening Quantiphi’s position as a leader in applied AI and setting new standards for responsible, future-ready innovation.

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Research Publications

Explore groundbreaking research published by Phi Labs in leading journals, publications, and conferences.

Recently granted patent
Method And System for Electronic Processing of User Queries Maintaining Factual Consistency During Processing
2 Granted + 31 Filed
Patents

Our Patents

Explore Quantiphi’s granted and filed patents driving innovation in AI-first digital engineering.

Method And System For Electronic Processing Of User Queries Maintaining Factual Consistency During Processing

Filed and Granted

Jan 2025

Method and System for Document Retrieval and Exploration Augmented by Knowledge Graphs

Filed and Granted

June 2023

System And Method For Automated Document Annotation

Filed

Apr 2025

System And Method For Training Physics-Informed Operator With Dual Hypernetwork Module And Low-Rank Domain Decomposition

Filed

Feb 2025

Computer-Implemented Method and System For Automating Document Analysis Process

Filed

Dec 2024

System And Method For Finetuning A Code Translation Model

Filed

Dec 2024

Method and System For Distributed Decision-Making in Multi-Role Large Language Models Architecture

Filed

Dec 2024

Method And System For Automated Code Retrieval And Code Generation

Filed

Dec 2024

System and Method For Designing Curing Processes Using Generative AI

Filed

Sep 2024

Method And System For Developing Generative Chemistry Model Based On Sequential Attachment-Based Fragment Embedding (SAFE) Representation

Filed

Sep 2024

System And Method For Generating Visualization From Structured Data

Filed

Sep 2024

Method And System For Generating Target Molecule

Filed

Sep 2024

Method And System For Optimizing Performance Of Genetic Algorithm In Solving Scheduling Problems

Filed

Jul 2024

System And Method For Updating Prediction Model For Curing Process Design

Filed

Jul 2024

System And Method For Intelligent Scheduling Of Manufacturing Jobs

Filed

Jun 2024

System And Method For Hypernetwork Guided Domain Decomposition In Physics-Informed Neural Operators

Filed

May 2024

System And Method For Generation Of Sub-Skills

Filed

Apr 2024

Method And System For Task Planning And Execution Based On User Query

Filed

Mar 2024

System And Method For Automatic Visual Workflow Model Generation And Management

Filed

Mar 2024

Method And System For Recommendation Of Suitable Assets Using Large Language Model (LLM)

Filed

Dec 2023

Method And System For Personalized Multimodal Response Generation Through Virtual Agents

Filed

Dec 2023

LLM based MultiTable Question Answering with Question Decomposition

Filed

Dec 2023

Method And System For Integrated Multimodal Input Processing For Virtual Agents

Filed

Nov 2023

System And Method For Multi-Stage Processing Of User Query For Enhanced Information Retrieval

Filed

Aug 2023

Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction

Filed

Aug 2023

Method And System For Optimal Scheduling of Nursing Services

Filed

Jul 2023

Method And System For Forecasting Demand For Nursing Services

Filed

Jul 2023

Transformer Boosted Causality Respecting Physics Informed Neural Networks

Filed

Jul 2023

A Method And A System For Optimally Displaying A Knowledge Graph

Filed

Jun 2023

A Method and a System for Displaying a Knowledge Graph

Filed

Mar 2023

System for Training Neural Network to Detect Anomalies In Event Data

Filed

Mar 2023

System and Method for Translating Image of Structural Formula of Chemical Molecule into Textual Identifier Therefor

Filed

Dec 2022

Method and System For Medical Diagnosis Using Graph Embeddings

Filed

Mar 2022

A Virtual AI Symposium

AI Qonfluence, Quantiphi’s premier research event, unites AI experts and industry leaders to explore cutting-edge AI research, innovative applications, and their real-world impact. Witness the true magic of AI in action; watch expert-led sessions from AI Qonfluence 2024 below.

Witness the true magic of AI in action; watch expert-led sessions from AI Qonfluence 2024 below.

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