Adam Research

Academic quantitative modeling, training data archives, and model testing environments.

Monte Carlo Risk Engine

High-performance path visualizer for portfolio risk. Runs thousands of stochastic simulations.

10,000+

Simulations/Sec

99.9%

Confidence Interval

Active

Status

Launch Engine

Scenario Lab (VAE Explorer)

Generative Risk explorer. Uses Variational Autoencoders to generate synthetic market data for backtesting.

Open Lab

Digital Twin Model

A unified global banking digital twin that maps interbank lending, liquidity drains, and contagion risk in real-time. Includes advanced deterministic rule evaluations and multi-model valuation methodologies (e.g., LGD, DCF, WACC) mapped against 10,000 corporate entities over a forward 12-month stochastic projection.

View Digital Twin Model

Feasibility Analysis

Architectural and Regulatory Viability of a World Model Digital Twin in a US Global Systemically Important Bank.

Read Whitepaper

AGI Gate Metrics (Eval #003)

Conjunctive Scoring Rule: `AGI = B ^ G ^ V ^ A ^ R ^ D ^ K ^ (P < 10^-6)`

64.2%

SWE-bench Pro

91.4%

GPQA Diamond

PASS

Token Mgmt

Historic Market Archives