KredosAi

What KredosAi does

KredosAI combines human-centered AI and behavioral economics to provide enterprises the capability to deliver personalized, outcome-driven customer experiences to late paying customers. By preserving the relationship between companies and their customers, KredosAI helps prevent disconnections and increases retention rates using a proprietary AI model that learns from customer behavior and empowers customers to take action. The platform drives over 20x ROI for customers by leveraging reinforcement learning with human feedback and proven messages, leading to faster payment outcomes and elevated customer engagement. It is designed to constantly and rapidly learn, producing results that don’t stagnate over time, and can be deployed in weeks.

Key capabilities

• Human-Centered AI
• Reinforcement Learning
• Accelerated Deployment
• State-of-the-Art Technologies (e.g., RCS)
• Configurable Dashboards
• Continuous analysis of message performance
• Optimization of each step to drive better results
• Support for various data transmission methods (secure FTP, APIs)
• Support for multiple data formats
• Experimentation with different timing options for message delivery
• Support for various communication channels (SMS, email, RCS)
• SOC 2 Type II compliant
• Continuous Security Control Monitoring
• Penetration Tests
• Secure Software Development
• Data Encryption (in-transit and at rest)
• Predictive Analytics
• Personalized Communication Strategies
• Enhanced Risk Management

Use cases

• Reducing delinquencies in Telecom, Media & Technology
• Modernizing auto financers’ delinquency engagement approach
• Cutting down on missed payments for financial institutions
• Increasing payment rates from past-due customers
• Churn prevention in financial services
• Payment recovery and collections with interactive payment buttons and rich account information displays
• Marketing campaigns with higher engagement through visual content and call-to-action buttons
• Customer retention with personalized, interactive offers
• Customer service scaling with self-service buttons and quick replies
• Transactional notifications upgrade with branded, trackable messaging

AI approach

KredosAI combines human-centered AI and behavioral economics to provide enterprises the capability to deliver personalized, outcome-driven customer experiences to late paying customers. They use a proprietary AI model that learns from customer behavior and empowers customers to take action. The platform leverages reinforcement learning with human feedback and proven messages, and continuously analyzes performance, provides feedback, and optimizes each step. It uses a Multi-Armed Bandit algorithm to test thousands of message variations in real-time, shifting traffic towards better-performing messages and continuously exploring new approaches.

Tech named: human-centered AI, behavioral economics, proprietary AI model, reinforcement learning, machine learning, multivariate reinforcement learning algorithms, predictive analytics, Multi-Armed Bandit algorithm

Industries served

• Telecom
• Media & Technology
• Auto Financing
• Financial Services

What it says sets it apart

• Combines human-centered AI and behavioral economics
• Proprietary AI model that learns from customer behavior
• Delivers personalized, outcome-driven customer experiences
• Preserves customer relationships and increases retention rates
• Achieves 20x ROI for customers
• 10x faster outcomes than traditional methods
• Platform learns based on actual payment outcomes, not just click-through rates
• Flexible integration framework for dramatically decreased implementation timelines
• Results that improve over time
• Ability to test hundreds of thousands of approaches
• Dynamic, adaptive, automated experimentation
• AI-driven learning at unlimited scale
• Reinforcement learning leveraging the latest AI advances
• Weeks to implement vs. months for legacy systems
• First-party approach to payment recovery before third-party collections
• Optimizes for payment outcomes using AI, not volume-based calling
• Behavioral approach maintains borrower relationships while accelerating recovery
• Multi-Armed Bandit algorithm tests thousands of RCS message variations in real-time, automatically shifting traffic toward better-performing messages
• Achieves full optimization in under 2 months, unlike traditional A/B testing

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.