Forecast like a team of PhDs.
No coding required

Powered by the latest econometric, AI and machine-learning models, backtested and verified, Indicio's advanced modelling tools can help you detect trend shifts up to two months earlier, with a guaranteed 30% improvement in accuracy.

Minimum 30% improvement in forecast accuracy
Build & test statistically robust forecasts in minutes
Get access to indicators from multiple industry and economic data sources

Apply the latest forecasting research

  • Identify leading indicators
  • Apply a large libary of forecasting models
  • Scenario analysis
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Indicio has continuously improved our forecasts and added features that automate and support our business process.
Steven Van Poecke
Head of Marketing Intelligence
Toyota Material Handling
“Indicio was instrumental in achieving higher efficiency and at the same time increase the output from our lean organization”
Anders Nordberg, LF Bank, customer of Indicio.
Anders Nordberg
Head of Macro
LF Bank
Indicio advances our overall digital strategy of becoming a data-driven organization, producing accurate forecasts in a fraction of time.
Alexander Noren, a customer that used Indicio
Alexander Norén
Head of Analysis
Skanska
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Build and evaluate models in minutes

Test a wide range of advanced forecasting models, variables, transformations, and parameters, all in a fraction of the time.

Explore our models
Indicio forecast models are built

Explore our forecast templates

Forecasting in Economic Uncertainty

Why Traditional Models Fail

Discover how scenario simulation empowers smarter, bias-resistant decisions in volatile markets.

  • Why conventional forecasting fails during structural shocks
  • How scenario simulation works, and why it's a game-changer
  • The power of probability-weighted forecasts
Download whitepaper

Customers impact of Indicio

40%
increased forecast accuracy,
months ahead
5x
quicker to identify your
relevant leading indicators
72 h
of model building and testing
saved each week
3x
number of
leading indicators identified