Bayes Inference S.A.
Year the company was founded: 1991
Company web page: https://www.bayesforecast.com/

Bayes Inference develops systems to model, measure and analyze large volumes of information in an (almost) automatic way. They also offer metrics and forecasts in real time to facilitate strategic decisions: price optimization systems (both online and offline), optimization systems for communication and advertising activity, forecasting of sales and supply systems, promotions analysis, etc.
Main products and services:
Their main services are:
- TrendsForecast is a system based on Google Trends that analyzes impulses, steps and other drastic changes in series of searches, identifying news related to such special behaviors. Additionally TrendsForecast predicts any series of searches, calculates correlations between them and offers the corresponding trend series.
- Market Beat normalizes the search series, adding persistence and systematically updating the information at any frequency - hourly, daily, weekly, monthly-. Market Beat offers forecast services and intervention analysis, and allows the identification of news about anomalous behaviors.
Key to success:
A unique technology in the field of time series representation and Bayesian modelling that add business knowledge to its models and systems; an exceptional human team; and very solid relationships with their customers.
Growth:
Its typical historical growth has traditionally been 20%, reaching a turnover of 5.7 M €. In recent years, the company has been affected by the economic crisis, which has led to a contraction in activity. In 2018 they will reach 2.3 M € of turnover.
Future plans:
The combination of consulting activity with the development of products such as the already mentioned Trends Forecast and Market Beat, together with the development of other specific products that use private information, such us b-Price (for price optimization), b-Market (for advertising optimization) and The Bayesian Machine (which is an inferential machine capable of automatically modeling large amounts of information).
This company is shown as an example of creating innovative solutions from the reuse of open data, although it is no longer in operation. We hope it will serve as an inspiration for your own projects!
Data used:
Private + Public (Google Trends, NOAA, INE, IMF, BOE, OCDE)
URL to catalog/s data source:
Company size:
11-50 employeesHeadquarters:
MadridOffices in:
MadridLevel of internalization:
Brasil, Mexico, ColombiaCustomers:
Coca-Cola, BBVA, Telefonica, El Corte Inglés, Natura , Whirlpool, Vale do Rio Doce, La Voz de Galicia, Amadeus, Idealista, etc.
Marketing model:
They provide free, freemium and subscription services, directly and through a partner.
Further information:
info@bayesforecast.comContent provided by the reuse company.
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