Provides a cloud-based AI platform for financial institutions to analyze customer data using deep learning and large language models, enabling hyper-personalized financial guidance and engagement. By modeling individual relationships with money, the platform helps banks, wealth firms, and insurers improve customer retention, increase conversion rates, and transition to data-driven financial wellbeing solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions often struggle to personalize customer engagement due to a limited understanding of individual relationships with money, resulting in low conversion rates and difficulty in providing effective financial wellbeing solutions. Traditional methods lack the ability to deeply analyze customer data and tailor interactions to specific needs and preferences.
Solution
Planda provides a cloud-based AI platform that enables financial institutions to analyze customer data using deep learning and large language models to gain insights into individual relationships with money. The platform offers tools for hyper-personalized financial guidance, digital marketing, and customer engagement, allowing firms to improve customer retention and increase conversion rates. By modeling customer behavior and preferences, Planda facilitates the transition to data-driven financial wellbeing solutions, including digital wealth management and hybrid advice applications. The platform's AI can be deployed flexibly via cloud-based APIs or as white-labeled widgets, integrating with existing systems to enhance customer understanding and engagement.
Target Audience
Planda primarily serves banks, wealth and advice firms, life companies, investment platforms, and employee benefit providers seeking to deepen customer relationships and offer personalized financial wellbeing solutions.
Features
- Deep learning models trained on financial behaviors to predict individual customer needs and preferences.
- LLM deployment for segmental customer analysis and interrogation of transactional banking data.
- AI-powered customer and colleague agentic applications, including curated chat and voice bots.
- Flexible deployment options via cloud-based APIs, white-label widgets, or webhooks.
- Proprietary AI guardrails to ensure data protection and prevent adverse responses from LLMs.
- Tone of voice curation to tailor customer engagement based on individual relationships with money.
- Integration with existing systems and workflows through modular technology design.