In 2023, the company acquired Pulses, a Brazilian platform for climate and employee engagement, bringing those capabilities into its portfolio, followed by the launch of Gupy Performance and Development the next year. That progression expanded its role from a recruitment platform into a broader system spanning the employee journey.
Gupy treats engagement as part of the broader employee journey rather than a standalone survey exercise. Its suite of HR solutions connects what happens before hiring with what follows after an employee joins, learns, receives feedback and develops. The company has over 4,000 active clients, 36 million registered users and has impacted 880,000 employees through its climate and engagement solutions.
AI remains the thread running through that expansion. Gupy leverages AI Agents across recruitment, training, engagement and other people-management workflows. In the engagement space, those agents help interpret survey information, surface patterns and speed analysis, giving HR teams more time to decide where intervention is needed.
Turning Employee Listening into Action
Gupy Climate and Engagement is built around continuous listening rather than a single annual snapshot. HR teams can run pulse surveys, employee-journey surveys and custom instruments, while ready-made templates support recurring measurement. Employees can respond through links, mobile devices, tablets or kiosks, giving companies several ways to reach different workforce groups.
The platform uses those inputs to generate dashboards, scores, notifications and hot spot detection. Comment analysis categorizes comments by sentiment, while internal and external benchmarking gives context to the results. This allows managers to assess areas of growing engagement or declining engagement.
Predictive analysis helps HR teams look beyond what employees are saying today. The platform can flag people who may be at risk of leaving within the next six months, giving leaders an earlier opportunity to respond. Gupy then links those findings to action recommendations developed by its People Science specialists, helping teams move from identifying a concern to deciding what to do about it.
The company has a 70.3 percent success rate for plans created from those recommendations and a 21.3 percent increase in the targeted factor score.
Connecting Engagement with Development
Gupy’s broader platforms give engagement data a place within the employee journey. Gupy Corporate Education lets teams create courses from a PDF or a topic using AI Agents, review the generated material and publish them in less than five minutes. This gamified learning has produced up to three times more engagement.
Learning activity sits beside performance and development processes rather than remaining a separate HR exercise. Gupy Performance and Development platform supports customizable 360-degree evaluations, continuous feedback and centralized development histories. AI can support the generation of performance feedback, giving managers a clearer basis for development conversations and follow-up actions.
That connection creates a practical path from listening to response. A survey may expose a weak area in leadership, capability or employee experience. HR can identify the affected group, establish an action plan, direct learning toward the need and use performance information to monitor development. The value lies in linking steps often handled in different systems.
Gupy’s Central de Carreiras platform extends the same logic to internal mobility. It connects recruitment, development, performance and data, giving employees and leaders a broader view of internal opportunities. In that structure, engagement is not only a measure of sentiment, but becomes a meaningful signal for decisions around employee growth and retention.
Making Continuous Listening Visible
ScanSource, a technology distributor, shows how its model changes the rhythm of employee listening. Before adopting Gupy Climate and Engagement, they ran one climate and engagement survey each year. The result captured a moment in time but slowed action planning and limited the company’s ability to follow changes continuously.
After implementation, ScanSource established recurring leadership rituals around the platform, reviewed indicators and made results visible. Survey participation rose from 56 percent in the first biweekly cycle to 77 percent. The shift resulted in a 20 percent increase in participation, supported by stronger governance practices and a more established culture of continuous listening.
ScanSource used the data to move responsibility for engagement beyond HR, placing leaders closer to analysis, discussion and follow-through within their own teams.
Scaling a Connected People Model
Gupy’s distinction in employee engagement comes from combining dedicated listening technology with a wider people-management environment. Gupy Climate and Engagement functions as a dedicated solution, combining surveys with predictive analytics, alerts and action recommendations to help HR teams identify issues and respond to them. At the same time, it also sits beside training, performance, recruitment and admission capabilities that generate context across an employee’s time with a company.
Scale gives that model a substantial base of use. Gupy has supported the hiring of five million people through its technology and reached hundreds of thousands of employees through its learning and engagement products. Those figures show an ecosystem used across several stages of workforce management rather than a narrow engagement application.
Gupy’s HR ecosystem centers on AI Agents and integrated data. In engagement, that results in faster interpretation, risk signals and recommendations. In learning, AI creates course material. In performance, it condenses evaluation information. Across those functions, the recurring role of AI is to reduce the time between a workforce signal and a manager’s ability to respond.
Its recognition as Top Employee Engagement Platform in LATAM 2026 reflects that combination of continuous listening, connected employee data and measurable results in client environments.
