FinScience’s technology interprets and transforms Alternative Data into sets of information pivotal for investment, financing and marketing decisions.

Our software solutions and services

A software monitoring alternative digital signals about stocks, companies, themes, organized in portfolios, and accessible through simplified dashboards displaying digital and financial indicators.

A value-added software solution regarding companies’ market insights, based upon a proprietary scoring system entailing the use of alternative and financial data.

An in-depth advisory service concerning specific on-demand signals related to a single company, sector or theme which deserve more investigation by our specialists.

Combination and analysis throuh AI of traditional data and Alternative Data to improve the reliability of sustainability assessment models.

Combination and analysis through AI of traditional data and Alternative digital Data to improve the reliability of risk estimation models.

Models, Outlooks and Portfolios

Quantamental advisory services based on Artificial Intelligence, concerning risk management, predictive models and portfolio strategies.

Digital Asset Servitization

A training course, available also remotely, with practical excercises on the technologies and utilization of Alternative Data, designed to sharpen specific skills and obtain a solid business value.

FinScience's main indicators

The Digital Popularity Value (DPV) represents a proprietary indicator that measures the diffusion of a digital signal on the web related to specific topics or to physical or legal entities.

The Market Potential Index (MPI) is a proprietary dynamic scoring system that assesses companies’ readiness to invest, by mixing digital and financial indicators.

The Digital Popularity Value Investor (DPV Investor) is a DPV component calculated considering exclusively digital content related to the financial ecosystem.

Sentiment measuring an entity’s perception within a specific environment (e.g. news, blog-posts, social posts, etc.). It can be positive, negative, or neutral.

DPV Volatility is the amount of DPV change an entity experiences over a given period of time.

We do not

Interpret social posts (e.g. tweets) because experience has taught that the value of the information obtained might never be as high as the use of computational resources needed to extract it.

Acquire private content, nor do we process any sensitive data not complying with GDPR.

Analyze data for “intraday” use, in order to avoid short-term misrepresentations on the markets.

The added-value of Alternative Data

Find out more about FinScience’s services and solutions most suited to your business