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Observe
Measure what is happening, as it happens: satellite imagery, open and unstructured data, official statistics.
Endogeni simulates the impact of shocks — energy, financial, technological, geopolitical — on public finances, employment and the economy, and turns it into a basis for decision. Econometrics, satellite imagery and artificial intelligence.
Method
Three steps, one principle: the decision becomes a variable of the model.
01
Measure what is happening, as it happens: satellite imagery, open and unstructured data, official statistics.
02
Propagate the shock through the system, scenario by scenario: macroeconomic models, econometrics, causal identification.
03
Decision rules, quantified trade-offs, dashboards: policy reacts inside the model, not after the fact.
Technology
Research models, industrialised into tools our clients actually use.
Sources
Research · Data · AI
Instrumental variables, difference-in-differences, regression discontinuity
General equilibrium, heterogeneous agents, structural VARs
Redistributive effects, households, taxation, benefits
Nowcasting, short-term forecasting, anomaly detection
Object detection and tracking on satellite imagery
Document analysis, monitoring, information extraction
Deliverables
Domains
Budget trajectories, debt, sustainability, revenue and spending outlooks.
Employment, wages, household purchasing power, evaluation of employment policy.
Economic conditions, inflation, scenarios, bespoke economic studies — including the impact of AI.
Geospatial, military and economic intelligence: satellite imagery analysed by AI in the service of states.
Indices, data pipelines, nowcasting, steering dashboards.
Impact measurement, counterfactuals, quasi-experimental methods.
Services
01
Support for public and private decision-makers: strategy, budget trade-offs, shock scenarios, decision support.
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Economic and econometric studies, evaluations, satellite imagery analysis, bespoke tools and simulators.
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Applied econometrics, indicators and dashboards, AI for decision-makers — for teams that want to do it themselves.
Data has no value in itself. It gains value when it informs a decision.
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