Ife Osakuade
CEO
F
ForesightFi
foresightfi.co
Website unreachable since Oct 22, 2026
The startup utilizes advanced behavioral analytics to track depositors' non-linear responses to interest rate fluctuations, enabling precise predictions of balance changes. This data-driven approach provides actionable insights for optimizing deposit pricing and enhancing profitability.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Software Only
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Traditional deposit modeling methods often fail to accurately predict depositor behavior in response to changing interest rates, leading to suboptimal pricing strategies and increased risk for financial institutions. These models typically rely on linear assumptions that do not capture the complexities of real-world depositor behavior. This can result in inaccurate forecasts of deposit decay rates and balance changes.
Solution
ForesightFi offers an AI-powered simulation platform that enables banks to model and predict depositor behavior with greater accuracy. The platform uses agent-based modeling and AI to simulate the interaction between bank rate-setting strategies and depositor withdrawal behaviors. By capturing non-linear responses to interest rate fluctuations, ForesightFi provides actionable insights for optimizing deposit pricing, managing liquidity, and enhancing profitability. The platform allows banks to model different depositor segments with unique attributes and behaviors, and to simulate various interest rate and economic scenarios.
Target Audience
ForesightFi is designed for small and medium-sized banks, bank treasurers, Asset-Liability Management (ALM) teams, risk management professionals, and business line heads looking to improve deposit modeling capabilities and optimize deposit pricing strategies.
Features
- Deposit X Models: Advanced agent-based models that capture non-linear depositor behaviors.
- Simulation Dashboard: A user-friendly interface for visualizing agent behaviors under different interest rate scenarios.
- AI Copilot: An explainable AI system that translates complex model outputs into actionable insights.
- Customizable Agent Types: Ability to model different depositor segments with unique attributes and behaviors.
- Scenario Analysis: Tools to simulate various interest rate and economic scenarios.
- Comparative Analysis: Functionality to compare ForesightFi's predictions against traditional linear models.
- Agent API: API to access ForesightFi's agent-based models.
- Data Anonymization: All customer data is anonymized to remove personally identifiable information (PII).
- Synthetic Data Generation: Advanced techniques like Variational Autoencoders (VAEs) or Generative Adversarial Networks (GANs) are used to create synthetic data, further protecting customer privacy.