Revolutionising Education

BY AI

At CI&T, in partnership with AWS, transformed the educational approach
of Ânima leveraging efficiency and results.

This case study arises from our partnership with Ânima, a key player in the education sector. In this project, we used generative AI (GenAI) to enhance the learning experience for students and drive operational efficiency for educators.

As a partner, CI&T's role in the project was to understand the client's challenges and provide effective solutions. Leveraging our expertise in application modernisation and generative AI, we developed unique products tailored to Ânima's requirements and needs.

THE MAIN
CHALLENGES FACED INCLUDED

Increase the accessibility and scalability of the Ulife platform,

Ânima's main interface with students;


Ulife Copilot:

Improve the learning experience through dynamic student-content interaction;


Prep:

Make it easier to generate questions and exams per student.

THE SOLUTIONS PROVIDED WERE

Ulife Reinforced

Modernisation of the Ulife platform's application for increased stability and scalability, and improved maintainability.

Correction with GenAI

Using GenAI, the solution is able to correct questions, essays, and detect plagiarism considering the academic events history such as exams and entrance exams.

Advanced Academic Chat

Development of a solution based on generative AI, which allows the student to interact, converse with academic content, a subject, via chat with a result above market products, in the evaluation of the academic area.

RESULTS

The implementation of these solutions
produced significant results:

High Performance

The Ulife platform successfully supported
peaks of 340,000 active users
without any downtime.

Low Cost

The "Prep" tool helped reduce operational costs by approximately 95% and has already resolved 4,597 questions, achieving a satisfaction score of 4.07 (based on 971 teacher evaluations with a maximum CSAT score of 5).

TECHNOLOGIES USED

The project leveraged Application Modernisation and Generative AI with a focus
on Amazon Bedrock. These technologies were specifically chosen to address the unique challenges and requirements of the project.