Liberum Ratings
AI and Machine Learning to boost productivity and enhance the security of FIDC assessments
Industry
Finance
What we delivered
Software Development
Since
2023
Liberum Ratings leveraged Data Science and AI to improve its investment fund analysis and significantly increase process efficiency. The transformation encompassed multiple technology initiatives, including data organization, machine learning, and generative AI, resulting in notable gains in productivity and accuracy.
The challenge
Liberum Ratings is the largest credit rating agency in Brazil, holding a 60% market share in the sector. Its investment fund analyses provide qualified insights to support investors in making informed decisions.
The Backoffice system developed by SoftDesign had already delivered improvements in operational speed and efficiency for Liberum Ratings, cutting data analysis time by 75%. However, as a leading credit risk rating agency, Liberum continued to seek new technologies to manage large volumes of data without compromising the quality of its outputs.
Our contribution
By implementing machine learning, Liberum Ratings automated report generation and the detection of anomalies within spreadsheets, reducing manual rework and accelerating data validation. Additionally, AI now predicts potential changes in fund ratings, enabling analysts to prioritize critical cases for expert review.
The most recent advancement was the integration of generative AI to draft analytical reports—previously a manual task for analysts. Now, reports are generated automatically, with analysts responsible only for final reviews, further optimizing work time.
We used to lose a lot of time analyzing data—we had to open file by file, and it took a long time to generate reports. Depending on the fund’s complexity, it could take two days to complete an analysis; now, I can finish it in one day.” — Natália Segato, Senior Risk Analyst at Liberum Ratings
Error detection in incoming data and fund rating predictions are now powered by machine learning, which has significantly reduced the need for manual validation. The system proactively identifies variations that could impact ratings, allowing analysts to focus on the most complex cases.
Another major improvement is in data import accuracy. Previously, analysts manually verified data integrity; now, algorithms automatically validate the incoming information. If an error is detected, the import process is halted and flagged for analyst intervention.
Results: greater efficiency and automation
Analysts now experience fewer distractions and have more time to focus on critical cases, develop strategies, and conduct deeper analyses. As a result, productivity and analytical capabilities have both improved.
Through machine learning, Liberum Ratings has achieved:
- Proactive identification of variations that could affect ratings;
- Enhanced ability to predict fund behavior;
- Reduced manual data validation efforts.
Together with SoftDesign, Liberum Ratings is already advancing to the next phase: deploying a validation engine for specific fund types that will track data variations over the past few months. Previously, fund data was reviewed quarterly; now, real-time validation will enable much faster responses.
As part of our digital transformation journey, we integrated AI into our Backoffice system, boosting operational efficiency and strengthening the security of risk analyses. There is no other company in this sector with a solution like ours.”
— Mauricio Bassi, Co-founder and Technical Director at Liberum Ratings
At SoftDesign, we believe that innovation and digital transformation should be seamless. Interested in exploring how we can accelerate your digital journey? Let’s talk. We are passionate about crafting solutions that deliver results.