TrueAccord

Using machine learning to reinvent the debt collection process

Website 
Series C+
Data & AI

Team

Ohad Samet

Location

San Francisco

Partnered

2014

TrueAccord uses machine learning to automate the process of collecting bad debt. Using algorithms similar to those used by marketers, TrueAccord optimizes messaging, timing and channels of communication to make it easier and more pleasant for the borrower. All communications are compliant with best practices, and collection rates are 30-300% better than traditional debt collectors. Amazingly the company has a positive Net Promoter Score score with borrowers. The company counts many large banks and issuers such as PNC, CapitalOne and Amex among their customers and has developed an insurmountable data lead over any new entrants who might try to compete.

Team

Ohad Samet

Location

San Francisco

Partnered

2014

TrueAccord uses machine learning to automate the process of collecting bad debt. Using algorithms similar to those used by marketers, TrueAccord optimizes messaging, timing and channels of communication to make it easier and more pleasant for the borrower. All communications are compliant with best practices, and collection rates are 30-300% better than traditional debt collectors. Amazingly the company has a positive Net Promoter Score score with borrowers. The company counts many large banks and issuers such as PNC, CapitalOne and Amex among their customers and has developed an insurmountable data lead over any new entrants who might try to compete.