AIx2 CereBrain: Vertical AI Agents Providing Operating System for Private Market Investors

Backed by Advanced AI Research and Technology

AIx2 is an advanced AI research and technology team from top academic and industry research labs. To build our efficient vertical AI agents for private market investors, AIx2 uses its own technology architecture built on on top of our team’s years of research in AI.

We believe in open access research, and that it will foster our growth as well as the industry growth. Using the research navigation map below, see our research for different parts of the architecture in this page.

Contact us if you are an AI researcher and would like to collaborate in this space.

R9 - Synthetic Data for Training Small Language Models (SLMs) with Multi-Modal Inputs for Financial Document Analysis

Social Impact

R4 - AIx2 MEMORA+: Expanding MEMORA Finance-Focused Vector Space Embeddings with a Graph-Based Data Structure

Analytical Tools

R6 - AIx2 OCCIPITAL: A Multi-Modal Small Language Model (SLM) using LlaVa for Finance Documents Data Extraction

R5 - AIx2 FinEmbed: Fine-Tuned Embeddings and Customized Retrieval Algorithms for Finance

R2 - AIx2 CORTEX: Optimal Matching and Reasoning Algorithms for Private Markets

R8 - AIx2 VERITAS: Second-Order Optimization for High-Fidelity Reasoning in Finance

Architecture Design

R1- AIx2 MEMORA: a Vector Space Backbone Representing US Private Market and User Preference for Advanced Deal Sourcing & Due Diligence

R11 - AIx2 and the Impact of AI on Future of Private Market Efficiency: Unlocking Social Welfare Through Democratized AI for Private Investors

R7 - AIx2 FinEval: A Rigorous Framework for AI Investor Agents Evaluation Set Design

R3 - AIX2 RELU: Reinforcement Learning from User Interactions, A Unique Technology for Organic User Feedback for Off-Policy Learning

R10 - AIx2’s Excel Parsing Algorithm for High-Fidelity Finance Analytics (+Sample AIx2 Performance on Outperforming Major AI Providers)