Quis Lab

Quis Lab

AI Powered
Infrastructure for
People Search
Innovate, Build, Explore.

Experience next-gen people search with advanced Graph Neural Networks and cutting-edge AI. Unlock powerful connections, insights, and discovery

Prototyp3
Google Cloud
Princeton
MBZUAI
Turbopuffer
HX Agency
Google
Zyra AI
Prototyp3
Google Cloud
Princeton
MBZUAI
Turbopuffer
HX Agency
Google
Zyra AI
Prototyp3
Google Cloud
Princeton
MBZUAI
Turbopuffer
HX Agency
Google
Zyra AI

The GNN Paradigm

GNNs excel at modeling complex relational data, surpassing traditional search. By capturing intricate dependencies and propagating information across heterogeneous graphs, GNNs uncover latent connections, emergent communities, and nuanced insights.

Revolutionizing Discovery
with Advanced AI

Quis Lab leads AI-driven people search, using advanced algorithms and computational linguistics to reveal profound connections. Our infrastructure enables high-throughput analysis of complex relational datasets with precision.

Methodology & Innovation

Our methodology combines cutting-edge AI with advanced graph theory to analyze vast human connection networks. Iterative learning and adaptive algorithms reveal subtle patterns and emergent properties, yielding insights beyond conventional analysis.

Ethical AI & Data Governance

We prioritize ethical AI and robust data governance. Our infrastructure uses advanced cryptographic protocols, stringent access controls, and privacy-preserving AI to ensure data integrity and confidentiality, fostering responsible innovation.

Context-Aware People Search icon

Context-Aware People Search

Personalized results that understand your query's intent and context.

Graph-Based People Search icon

Graph-Based People Search

Leverage relational data to uncover deeper connections and insights.

Graph-Powered Reranking icon

Graph-Powered Reranking

Refine and prioritize search results using the power of network structure.

Fair & Equitable Search icon

Fair & Equitable Search

Promote mutually beneficial outcomes with fairness-aware algorithms.

Backed by Category Leaders

Antler