Decision-Grade
Individual Computation
World Model
Simulation
Decision
Computable representation of the world
Propagation of change through the world
Reliability of outcomes
in the real world
10M+
Executable
Causal Nodes
Entities, variables, and constraints formed into an executable causal graph from high-frequency real-world signals
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5M+
Real-world events
Simulated
Events are injected, propagated, and
resolved through causal inference and
do-calculus
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+110%
Decision
outcome lift
Measured where causal structure, rules,
and consequences matter,
not just fluent answers
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NVDA Shock
VRT (cooling)↑
Power headroom ↓
Hardware demand hits system limits before performance scales.
State
90%
Near system
capacity
Thermal utilization vs rated cooling capacity
Power draw vs sustained delivery limits
Result: ~30% of observed GPU premium is infra-driven, not silicon-driven
Is buying RTX 4090 pushing it too far?
|
SSTK price ↓
Content repricing
License ROI ↓
Content value erodes at the supply layer before pricing models are forced to adjust.
State
35%
Value already
shifting
Relative equity drawdown vs AI-native peers
Content supply growth vs historical baseline
Result: Value decay precedes pricing adjustment
Are stock image licenses still worth it?
|
JPY ↓
Inbound luxury demand ↑
Resale margins ↓
Arbitrage opportunities compress through crowding before price signals fully reflect saturation.
State
23%
Turning
crowded
FX move magnitude vs tourist demand elasticity
Resale listings growth vs historical absorption
Result: Edge decay accelerates once trade is consensus
Is buying luxury in Japan still a good trade?
|
HYG spreads ↑
Growth funding ↓
Hiring quality ↓
Opportunity quality degrades through capital tightening before risk becomes visible in employment data.
State
45%
Windows
closing
Credit spread momentum vs historical hiring cycles
Funding contraction lead time vs labor market data
Result: Opportunity quality decays before layoffs appear
Is switching jobs still a good move right now?
|
US10Y ↑
Mortgage costs ↑
Exit flexibility ↓
Commitment risk locks in through rate regimes before asset prices fully reprice.
State
95%
Locked
in
Rate regime persistence vs historical refinancing cycles
Price adjustment lag vs financing lock-in
Result: Commitment becomes irreversible before prices fully adjust
Is buying a home locking me in?
|
NVDA ↑
AI infrastructure spend ↑
Skill leverage polarizes
Skill trajectories diverge through infrastructure investment before outcomes materialize in labor markets.
State
89%
Paths
diverging
Infra capex growth vs automation substitution rate
Role leverage vs long-term demand persistence
Result: Career trajectories diverge years before outcomes surface
Will learning AI skills pay off long-term?
|
01 - Test Limits
02 - Check Value
03 - Avoid Crowding
04 - Watch Windows
05 - Avoid Undo
06 - Play Long Game
Shows how close this decision is to hitting hidden limits — before extra effort stops paying off.
Simulate
Inside the system
Decision-making,
Restructured
A system for making decisions under uncertainty — without relying on intuition, authority, or hindsight.
Decision-making,
Restructured
A system for making decisions under uncertainty — without relying on intuition, authority, or hindsight.
Domains
Why Financial Markets Are Becoming Impossible to Predict
Why the smartest funds stopped trying
© 2026 Abel Intelligence Inc. All rights reserved
/ Resilient Alpha
/ Smarter Risk
/ Long-Term Value
DOMAIN
APPLICATION
Why Precision Medicine Needs a Causal Operating System
Why Financial Markets Are Becoming Impossible to Predict
As market regimes shorten and actions increasingly reshape outcomes, forecasting gives way to causation. Investors are turning to causal reasoning to test decisions, stress scenarios, and understand how interventions propagate through markets.
January 2026 - Domains
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The causal blind spot in modern recommendation systems
Why a machine-run economy requires causal control, not optimization
Start Simulating with Causal AI
© 2026 Abel Intelligence Inc. All rights reserved
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