We don't limit ourselves to industries—we limit ourselves to complexity. The framework travels wherever data meets uncertainty.
Finding Alpha in Noise
Markets generate noise that drowns signal. Traditional analysis often mistakes correlation for causation or misses subtle, high-dimensional patterns.
Where do alternative data sources create genuine alpha vs. false confidence?
How do we distinguish correlation from causation in high-dimensional data?
What signals are systematically underweighted by traditional analysis?
We apply specialized agents trained on financial services protocols to ingest unstructured data, detect anomalies, and generate hypotheses that challenge conventional wisdom in the sector.
Exposing Waste & Enabling Transparency
US healthcare costs $4.5 trillion annually with an estimated 25-30% waste. We use data to reveal where incentives misalign and where transparency can change behavior.
Why does the same procedure cost 10x more at one facility than another?
What percentage of spending is administrative vs. clinical?
Where does price transparency actually change behavior?
We apply specialized agents trained on healthcare protocols to ingest unstructured data, detect anomalies, and generate hypotheses that challenge conventional wisdom in the sector.
Optimizing Systems at Scale
Grid inefficiencies waste 10-15% of generated power. Our framework identifies patterns in consumption, predicts failures, and optimizes distribution networks.
Where are the hidden inefficiencies in distribution networks?
How can predictive maintenance prevent catastrophic failures?
What consumption patterns are invisible to current monitoring?
We apply specialized agents trained on energy protocols to ingest unstructured data, detect anomalies, and generate hypotheses that challenge conventional wisdom in the sector.
We partner with organizations facing problems that feel unsolvable. If you have hard data and harder questions, we’re ready to listen.