Generic placeholder image

Company Vision

RATIONENCE is an advisory and consulting firm, focused on Analytical & Business Intelligence innovation, cutting edge technologies, modern process reengineering, Data Mining, Machine Learning, Generative AI and advanced analytics methodologies...

View details »

Generic placeholder image

Brand Concept

Inspired by the «Rational Evidence» concept, a deep insight into raw data to bring out the most strategic Business Information with awareness and intelligence. A new active tense, to exploit the business data asset, wisely transforming it and disclosing it so to provide new additional value to our Clients.

View details »

Generic placeholder image

Management

A team of professionals, with permanent academic relation, constitutes our board....

View details »

News, articles and updates.

Rationence Winner
at SAS Hackathon 2025!


We won again at the SAS international competition Hackathon 2025, this time the special award:
UX: Excellence in User Experience !

We are proud to announce our winning at the SAS Hackathon 2025 competition for the second year with an innovative AI solution that detects barriers to the human walking. An efficient algorithms for object detection of YOLO type (You Only Look Once) classified more than five thousand images of potential human barriers, so that the SAS application can detect easily new human barriers analysing photos of the city, the stations, the shops, the hospitals...

On the official SAS winner page, SAS wrote:
"UX: Excellence in User Experience – Ratio Team [Italy]. This team from SAS Partner Rationence developed a computer vision model that promotes urban accessibility for all people, including those with disabilities. Powered by SAS Viya and open source tools, the model demonstrates exceptional usability and design thinking. It detects objects – steps, stairs, ramps and grab bars – with extreme precision in thousands of photos from public repositories. The model offers a concrete way to improve how barriers are detected and managed in cities."

And, on our Hackathon 2025 Diploma, the SAS jury wrote:
"The winning solution, Ratio team, demostrates exceptional usability and design thinking, creating a platform that is both practical and scalable. The project stands out for its potential to deliver lasting impact."


Our solution can detect barriers such as steps, ramps, stairs, grab bars through photo or image detection that can be acquired in multiple ways.

And technically the solution:
  1. takes advantage of SAS Viya leveraging the power of CAS Server integration in a distributed environment, even without a GPU
  2. trains an AI thin YOLOv2 model starting from a huge library of photos with the position of the barrier objects
  3. loads also an external YOLO model trained in Python
  4. integrates an intuitive map interface able to load images to be analysed
  5. shows position and data about each discovered barrier within a SAS Visual Analytics dashboard thanks to the access to the SAS Data Driven content solution

Here, in the SAS Hacker's Hub community, you can find all the videos with the interview, the abstract video, and the technical presentation



Data Lovers interviews, sponsored by SAS!

The SAS online magazine Data Lovers interviewed some of our employees that we are proud to share in our website.

Yuri Terzi interview.

Elena Varsalona interview.

Tommaso Corso interview.


All our employees interviewed by Data Lovers.



AI Chat Bot!

Consider our friendly AI chat bots: they can do even miracles!

In this page AI Chat, you'll find state of the art AI chat bots, based on local and private LLM models of Artificial Intelligence, able to translate into Python code or SQL code your free data analysis prompt, and then directly applying them to a wide range of different database, to provide insight, summary data, statistics, charts, to profile and export data! And if you like, also the generated python or SQL code to develop yourself batch processes or new applications.

These AI gen Chats Bots are written mainly in python, use open source libraries, and do not require any specific software license or access to external AI providers, securing your data, prompts and insights in your local architecture.

look at our AI Chat demos page: we are sure they will be interesting for you.

Looking at the demos, you can observe that our Python or SQL Chattino are very clever in interpreting your requests starting from prompts of few words, even just a line. They can produce complex insights, as they can create tables, insert or modify data, analyse or reconstruct your db etc... And often they can even correct your prompt or query requests, as to find the right tables and variables to be used by interpreting your prompt in an unexpected and surprising way. Finally, they automatically detect all the keys that link the available tables if the variables have the same name, and sometimes detects more complex association among data by itself, even if the variables have different names.




Innovation sparks: Rationence interviewed by SAS!

A special article about our winning partecipation to the SAS Hackathon 2024. Patrizia Schmidt talks about the SAS Hackathon’s experience in the SAS Magazine LAI – Leading the art of Innovation.

Innovation sparks: the article.



Our Experience at the SAS Innovate 2025 conference in Orlando

Rationence attended to the conference in Orlando (FL) as the winner of the international competition SAS Hackathon 2024 in the Life Sciences category. We had the chance to test the most recent SAS Tool, such as:

the SAS Data Maker: a fast tool to extract data and augment samples for IA with low/no-code interface.


the SAS Viya Workbench: a new SAS Jupyter like interface that integrate SAS, Python and R code optimizing the resource available to each user.


the SAS Copilot: a new set of AI features and capabilities within SAS Viya, that uses the power of Azure AI Foundry to be more productive.


SAS Customer Intelligence 360: SAS Customer Intelligence 360 offers GenAI assistance to optimize marketing planning, customer journey design, content and creative asset development.

Here the Award Ceremony with the Rationence Team reppresentatives and some other moments.
SAS Innovate the Hackathon award ceremony and our team

SAS Innovate the final award ceremony

SAS Innovate our team applied to the SAS bootcamp reaching all a 7 on 8 score.

SAS Innovate our stand where we presented our Pubmed Abstract Finder solution.

SAS Innovate some official interviews during the conference.

SAS Innovate SAS Hackathon diner and the SAS Innovate party at the Universal Studios.
On the screen the SAS Ideation: a creative game with the QR code to each winning Hackathon video clip.


Rationence at the next conference SAS Innovate 2025

Rationence will participate as winner of the international competition SAS Hackathon 2024 in the Life Sciences category

The SAS Innovate conference takes place in Orlando (Florida).
SAS Innovate the SAS Innovate conference


Link to the SAS Innovate conference


During the conference, the final Hackathon 2024 winner will be voted among the winners of all the categories, including the Rationence Team with our solution Abstract Finder. The Abstract Finder project uses generative artificial intelligence to improve searches in the biomedical literature. Powered by the cloud-native Sas Viya platform, the solution enables researchers, students and medical professionals to quickly find the abstracts they need in the PubMed database, accelerating scientific discovery.

Some web magazines speaking about our partecipation:

Link to the Bitmat web magazine
"Il team di Rationence, azienda italiana di consulenza IT e partner di SAS, ha sviluppato Abstract Finder, una soluzione che sfrutta l’intelligenza artificiale generativa per migliorare il reperimento della letteratura biomedica. Alimentata da SAS Viya, la soluzione aiuta i ricercatori, i professionisti del settore medico e sanitario e gli studenti a trovare rapidamente gli abstract di cui hanno bisogno all’interno del database PubMed per far progredire la scoperta scientifica."

Link to the Business People web magazine
"Tra i vincitori di quest’anno spicca l’italiana Rationence, che ha conquistato il premio nella categoria Global Industry Winners, Life Sciences grazie al progetto Abstract Finder. Il progetto Abstract Finder utilizza l’intelligenza artificiale generativa per migliorare la ricerca nella letteratura biomedica. Alimentata dalla piattaforma cloud-native Sas Viya, la soluzione consente a ricercatori, studenti e professionisti del settore medico di trovare rapidamente gli abstract necessari nel database PubMed, accelerando la scoperta scientifica."



CV Ranking with Large Language Models

A smart solution to support the HR function in scouting the right candidates among a large set of CVs

Currently, personnel selection processes require significant amounts of time and effort, especially for companies managing multiple open positions simultaneously or receiving large quantities of CVs after posting a job offer.
CV-Ranking is a smart solution based on LLM models to support the HR function in scouting CVs, in order to find the most suitable ones for the required position. The system takes as input a natural language job description and a large set of resumes as input, and then provides a ranking of the most suitable CVs for the entered job description, speeding up the CV selection process.

Rationence Anniversary

CV acquisition module takes PDF formatted CVs as input and extracts the textual part, making the documents processable. Then a pre-processing phase follows, which aims to clean and process the textual data previously extracted from the CVs, through Lemmatization, N-grams and Bi-grams creations, stop words removal and so on.


Based on the results of the aforementioned phases, a word embedding process is carried out, which is a technique that allows storing both semantic and syntactic information of words starting from an unannotated corpus and building a vector space where word vectors are closer if the words occur in the same linguistic contexts, meaning they are recognized as semantically similar. The vectors resulting from this process are inserted into a knowledge base, preserving the metadata, in order to subsequently trace back from the vectors to the CVs that originated them.


Then follows a Job Description analysis module, whose purpose is to extract skills from the Job Description entered by the user in any natural language to be searched among the CVs. The extraction is performed by providing the relevant text to a Large Language Model (LLM) accompanied by an appropriate prompt.

The vectors generated by the word embedding of CVs and the skills extracted from the job description are then crossed, evaluating their similarity, under the assumption that, due to the functioning of the applied word embedding procedure, numerically similar vectors represent texts similar in meaning.

At this point, for each document in the knowledge base are associated N similarity scores, where N is the number of skills of interest. These N scores are then summarized into a single score through a weighted sum, which serves as a model to provide an overall ranking related to all skills, constituting the system's output.
Rationence Anniversary
Rationence Anniversary
The current CV-Ranking interface allows the user to customize some of the previously illustrated phases according to their needs. By the way, Large Language Models might have "hallucinations", meaning it might provide inconsistent outputs. The remedy devised for this intrinsic and unpredictable possibility is to provide a feature that allows users to select and remove any undesired skills via a dropdown menu based on their needs.

Not all skills extracted from a Job Description might hold equal importance for a user. Therefore, a functionality was incorporated into the interface to enable the selection of skills deemed strictly necessary for the desired candidate.

Once these specifics are entered, it is then possible to trigger the analysis by pressing a button and obtain the result, consisting of a table in descending order showing the top ten CVs most suitable for the entered Job Description, along with their respective scores and the option to view the CVs of individual candidates.
Simultaneously with the tabular output, the user is presented with graphs that allow visualization and comparison of the details of the scores generated on the top CVs for each individual skill used in the search.
Rationence Anniversary
Rationence Anniversary
The system has been tested with more than 2500 CVs, providing results in just a minute.


Rationence Ten Years Anniversary

"In January 2025 Rationence celebrated 10 years of presence on the market."

On Monday, January 21, 2025, Rationence celebrated 10 years of presence on the market. The anniversary was then celebrated in the prestigious restaurant of Villa Torretta.
We hope for another 10 anniversaries of this kind!

Rationence Anniversary
Rationence Anniversary
Rationence Anniversary


SAS-TD-SYNNEX Channel Event

"Accellerare il Business con SAS e TD SYNNEX: Strategia, Tecnologia e Partnership per il Futuro."

On Tuesday, February 4, 2025, during a partner event organized by SAS in collaboration with TD Synnex in Milan, Rationence presented its solution "Abstract Finder" with which it won the recent global SAS Hackathon competition in the Life Sciences category.
We thank SAS for the opportunity to present our solution.

SAS Hackathon 2024 Winner
SAS Hackathon 2024 Winner
SAS Hackathon 2024 Winner


Radio interview with the president of Rationence

Radio interview with our president Giuseppe Marcon for StoryTime on Radio Canale Italia on 12-18-2024.
A personal insight of his career and some of the values that guided to the born of Rationence.


- The interview on our YouTube channel!


Rationence Winner
at SAS Hackathon 2024!

We won the SAS international competition in the Life Sciences category!

We are proud to announce our winning at the SAS Hackathon 2024 competition in the Life Science category. During the period of the competition, our team implemented an innovative solution to search, summarize and rank scientific articles from the famous PubMed central database.
The solution exploits the capabilities of generative AI to enhance Biomedical Literature Retrieval and it integrates several innovative technologies such as:

  1. a chat interface in natural language that is able to translate the request of the user into PubMed queries taking advantages from the modern Artificial Intelligent platforms. The queries are automatically submitted to the database.
  2. a text mining system to evaluate and summarize the found articles into short abstracts.
  3. a web user friendly interface to browse the ranked articles with direct access to their documents in PubMed.
  4. a set of analytical dashboards to explore the search activities and the quality of the results.

Hackathon-2024-Diploma

The solution integrates a serie of Python libraries with several SAS products of the Viya suite, including SAS Visual Analytics and SAS Visual Text Analytics.

Below you can find the short version of our presentation at the Hackathon competition and a link to a longer and technical video presentation.



Download long technical version of our presentation(about 380 MB)


Our version of these videos published on our YouTube channel!

- Rationence Winner at SAS Hackathon!

- Rationence Winner at SAS Hackathon! (Long Version)




Master BI&BDA!

Master in Business Intelligence and Big Data Analysis!

For the second consecutive year, Rationence is sponsor of the master's degree in Business Intelligence and Big Data Analysis that is regularly kept by the University of Milan Bicocca, (Address: Via Bicocca degli Arcimboldi, 8.)

Master Bicocca

Master BI&BDA

Logo Master Bicocca



Credit Risk Case Study proceeds!

The Case Study based on a Credit Risk sample data set has been fully documented in R language, using Knime software, and in Python!

  1. R-Shiny

  2. Knime

  3. Python

  4. Microstrategy (ongoing)

  5. SAS (ongoing)

We are going to finish the documentation of the Microstrategy project development of the same case study. Final step the presentation of a solution with SAS Viya currently on going.

In general the boosting models need more computing time, but reach the best results looking to the Accuracy of the prediction.
The winner models lastly are:

  1. the Stochastic Gradient Boosting with R, reaching an Accuracy of 0.825

  2. the Parallel Boosting with Python, reaching an Accuracy of 0.819

  3. the Gradient Boosting with Knime, reaching an Accuracy of 0.813

R-Shiny Case Study
Knime Case Study
Python Case Study



New Company Presentation with Avatar AI

This special presentation of our company is leaded by a modern avatar AI realized with the last ChatGPT, Midjourney & D-ID tools.

Download presentation ppsx version


We hope it could be appreciated.



SAS ready for an IPO in 2025!

SAS ready for an IPO in 2025! After over 50 years! That's a news!

As said directly from Jim Goodnight, CEO at SAS:
"Over the years, SAS has built a reputation for innovation, a relentless focus on the customer, and strong sense of corporate identity. As we chart our path toward IPO-readiness, we will continue to invest in our brand and platform, prioritizing our core values, and empowering customers to solve their most complex problems."
The SAS IPO initially announced for 2024 has been postponed to 2025
Read more in SAS press release.

View recent article

SAS Silver Partner



Knime Logo

New partnership with KNIME!

Best Open Source software for end to end data science!

Knime has grown in about fifteen years becoming a reference in the world of data scientists who are looking to a consistent solution for their analytical needs. The developing team has done a very good job maintaining the Knime software up do date and open to the most modern cloud platforms, data base, and methodologies. Knime provides hundreds of machine learning algorithms easily configurable in an interface which is simple to navigate and visually attractive!
We are glad to be part of the KNIME partner community starting from may 2021, to share our experience in building analytical models, ETL processes and reports.

View KNIME site




New partnership with MICROSTRATEGY!

One of the best choices among the Analytical and Business Intelligence technologies!

Making data available in smart and appealing interfaces is important as the data analysis itself. That's why, starting from July 2021, Rationence is a Microstrategy partner, which provides business intelligence platforms to create interactive reports and dashboards embedded in web and apps, integrating data analysis with machine learning and data mining features.

View MicroStrategy Site

MicroStrategy



Partnership SAS.

For Advanced Analytics projects Rationence joined the SAS Global Alliance & Channel Program, becoming in january 2016 reseller partner of SAS, and then moving for the standard Silver Partner Program.


We work mainly for clients belonging to the area of finance, consumer credit, fashion and distribution. The SAS technology is for us the best choice to promote the integration of congruent processes for the exploitation of the wealth of information available to the companies. SAS is essential for the best projects of Analytics, Risk Management, Marketing Automation, Customer Intelligence, and more widely for advanced web reporting, Visual Analytics, Data Management and Data Quality.

View details »

SAS Silver Partner
SAS Reseller


Careers. Opening positions.

We are looking for people passionate for Analytical and Business Intelligence technologies and related themes:
Artificial Intelligence, Data Mining, Machine Learning, Business Process analysis, Data Integration projects, Data Warehouse methodology, Statistical Analysis, Web Portal architecture and design, Executive dashboard development ... with a focus on technology integration and innovations, mainly versus Big Data and data processing on clouds environment.

If you think to be qualified to work with us, send us your resume to job@rationence.eu. You will find a place of Freedom and Responsibility, Training and Knowledge Sharing, Pro-Activity and Participation, Growth and Qualification, Innovation and Creativity, Respect and Professionality.

Best candidate will be contacted soon!
Data Privacy authorization is required.

View details »

Careers


Generic placeholder image