Also known as: Ligo AI
Self-improving systems for Customer Support Teams
Company is active
Event Year: 2025
Company is active
Event Year: 2025
Redapto develops advanced, self-improving systems designed to revolutionize customer support teams. These systems are engineered to significantly enhance Customer Satisfaction (CSAT), Net Revenue Retention (NRR), and drive increased repeat purchases. The core challenge addressed by Redapto is the stagnation of support quality, often stemming from the limitations of static agents and quality assurance processes. Traditional review methods typically cover less than 5% of customer interactions, leading to missed Standard Operating Procedure (SOP) gaps, inaccuracies, and outdated information. Redapto offers a comprehensive solution by auditing 100% of interactions to identify issues, execute custom evaluations, and automatically update SOPs, training materials, and knowledge bases. This ensures that customer support teams are continuously improving and adapting to evolving customer needs. The Redapto team brings extensive experience in applied research and large-scale deployment. Their previous work includes agent automations at Coinbase, which resulted in over $2.5 million in annual savings, and post-training optimization at Adobe and Amazon, yielding $1 million+ in savings and a 20x improvement in latency.
Redapto develops advanced, self-improving systems designed to revolutionize customer support teams. These systems are engineered to significantly enhance Customer Satisfaction (CSAT), Net Revenue Retention (NRR), and drive increased repeat purchases. The core challenge addressed by Redapto is the stagnation of support quality, often stemming from the limitations of static agents and quality assurance processes. Traditional review methods typically cover less than 5% of customer interactions, leading to missed Standard Operating Procedure (SOP) gaps, inaccuracies, and outdated information. Redapto offers a comprehensive solution by auditing 100% of interactions to identify issues, execute custom evaluations, and automatically update SOPs, training materials, and knowledge bases. This ensures that customer support teams are continuously improving and adapting to evolving customer needs. The Redapto team brings extensive experience in applied research and large-scale deployment. Their previous work includes agent automations at Coinbase, which resulted in over $2.5 million in annual savings, and post-training optimization at Adobe and Amazon, yielding $1 million+ in savings and a 20x improvement in latency.
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
B2B
B2B
B2B
B2B
Team size: 2
Hiring: No
Team size: 2
Hiring: No