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.

Phi Labs Growth Journey

2018-2020

Q R&D Established

2021

First Patent Filed, Kaggle Success

2022

Advanced Research & Strategic Collaborations

2023

GenAl Innovations

2024

Leadership in Al Research

2025

Continuing Breakthrough Research

Foundations & First Milestones

Speech-to-Text for Finance
3D-GANs for seismic imaging
No-Code MLOps
Sign language detection Real-time demographic analysis
Few-shot crop disease detection
Lung disease AI-explanations
Blood disorder detection

Research Publications

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

Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget

ACM GECCO, San José, July 2026

Experience the magic of applying science in transforming organizations

Phi Labs: Where Science Meets Transformation

Phi Labs Growth Journey

2018-2020

2021

2022

2023

2024

2025

Foundations & First Milestones

Research Publications

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

Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget

Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment

APLE: A Framework for Adaptable and Personalized Live Explainability for Recommender Systems

PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems

Memories that Discriminate: Detecting and Correcting Bias in Personalized Hiring Agents

How AI Learns the Laws of Physics: Building Smarter Engineering Systems

From Personalization to Prejudice: Bias and Discrimination in Memory-Enhanced AI Agents for Recruitment

State of Health Estimation of Batteries Using a Time-Informed Dynamic Sequence-Inverted Transformer

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting

Intelligent Human-Machine Partnership for Manufacturing: Enhancing Warehouse Planning through Simulation-Driven Knowledge Graphs and LLM Collaboration

Enhanced Neo-antigen prioritization for CAR-T Therapy byfusion of Protein Language Model embeddings with PSSM Scores

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations

Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data

ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM Distillation

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling

IDPFlow: A No-Code Agentic Framework for Multimodal Intelligent Document Processing

AMR-CSI: Adaptive Multimodal RAG for Cold Start Indexing

DocAnnot: Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-Annotation

Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations

HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration

Knowledge Graph Based Repository-Level Code Generation

Evolutionary Policy Gradient Based Optimization For Small Molecule Drug Discovery

Accelerated Gradient-Based Design Optimization via Differentiable Physics Informed Neural Operator for Composite Materials Processing

An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study

FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition

A Hyper Physics-Informed Neural Network For Predicting Heat Transfer Patterns During The Curing Process In Aerospace Composite Manufacturing

Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation

An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study

Mitigating Factual Inconsistency and Hallucination in Large Language Models

Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks

Accelerating Pharmacovigilance using Large Language Models

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

PINNs for Astrophysical shocks in gravitationally stratified environments

Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents

Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents

Our Patents

Method and System For Optimal Scheduling of Nursing Services

Method And System For Generating Intent Responses Through Virtual Agents

Method and System for Training a Virtual Agent Using Optimal Utterances

Validation System and Method for Concurrent Visual Validation Of Two Or More Electronic Documents

System And Method For Adapting Legacy Servers to Operate within Rasa NLU Framework

System And Method For Enabling Generation Of Industry-Tailored Virtual Assistants

Multi-Table Question Answering System and Method Thereof

System and Method for Data Extraction and Standardization Using AI based Workflow Automation

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

System and Method For Processing One or More Electronic Documents for Enhanced search

System And Method For Semantic Search

Method and System For Managing User Interactions

Method and System for Electronic Processing Of User Queries Maintaining Factual Consistency During Processing

System and Method for Content Curation and Collaboration

Method and system for training Neural Network for entity Detection

System and Method of Developing a Search Database for Automated Content Curation

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

System and Computer-Implemented Method for Demand Forecasting

APLE: A Framework for Adaptable and Personalized Live Explainability for Recommender Systems (Co-authored with Verizon)

System and Method for Generating and Evaluating Synthetic Documents

System and Method for Transferring Key Value Cache Across Language Models

Enterprise Relational Intelligence using Language Processing Models and Graph Learning

System and Method for Dual Variable Model Routing Control

System and Computer-Implemented Method for Simulation and Optimization of operations in Inter-Dependent Multi-Component Applications

Adaptive Multimodal Retrieval-Augmented Generation

System and Method for Evaluating Artificial Intelligence Agents

System and Method for Generating Novel Solution in Response to User Query

System and Method for In Silico Identification of Clinically Actionable Immunogenic Target Neoepitopes

System and Method for Unified Enzyme Engineering Framework

Service Level Agreement Conditioned Routing Policy for Model Selection