70%
“cut model development time by 70%”
Tal como se publicó en h2o.ai. Verificado por usedby el 17 oct 2026.
Qué pasó
Acordo Certo, a Brazilian online debt payment and re-negotiation platform, uses H2O Driverless AI to build and deploy debt scoring models faster. Automatic feature engineering and machine learning interpretability let a small data science team produce scores that retail and banking partners can trust.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de H2O.ai y de Acordo Certo, no nuestras.
- $10M“Acordo Certo now retires over $10M of consumer debt a month”
- 80%“improved model accuracy to nearly 80%”
- 3.6 million“3.6 million Brazilians on the platform.”
- 76%“improved the repayment model's accuracy to over 76%”
With Driverless AI, Acordo Certo now retires over $10M of consumer debt a month, cut model development time by 70%, and improved model accuracy to nearly 80%.
We have reduced the time to build and deploy models from about a week to a few days, and improved the repayment model's accuracy to over 76%. This is massive for our team.
Lo que dice la historia, y lo que verificamos
Lo que comparamos con la página.
- La cifra: 70%VerificadoImpresa palabra por palabra en la página, cerca del nombre de Acordo Certo.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Acordo Certo.
- Acordo Certo usa H2O.aiVerificadoLínea de nivel Confirmado.
- El resultado en síNo verificadoLo citamos; no lo medimos.







