Gifftid AI provides the R³ platform, an AI‑driven analytics engine that extracts real‑time operational signals from transaction, supply‑chain, and market data to generate forward‑looking risk scores for small and medium‑sized enterprises. The platform delivers these insights via a dashboard and API, helping banks, alternative lenders, and corporate investors identify false‑negative applicants, correctly price risk, and uncover hidden growth opportunities.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions and corporate investors often lack timely, forward‑looking data to accurately assess the creditworthiness and growth potential of small and medium‑sized enterprises (SMEs). This leads to false‑negative underwriting decisions, mispriced risk exposures, and missed investment opportunities.
Solution
Gifftid AI offers the R³ platform, an AI‑driven analytics engine that extracts operational signals from diverse data sources to predict SME performance before traditional financial metrics become available. By processing real‑time transaction, supply‑chain, and market data, R³ generates risk scores and opportunity indicators that help users identify false‑negative applicants, correctly price risk, and uncover hidden growth prospects. The platform delivers these insights through an interactive dashboard and API endpoints, enabling seamless integration into existing credit‑decision workflows and investment pipelines.
Target Audience
Primary customers are banks, alternative lenders, and corporate investment teams that evaluate and fund SME borrowers or partners.
Features
- Machine‑learning models that fuse transactional, behavioral, and macroeconomic data to produce forward‑looking SME risk scores
- Real‑time anomaly detection to flag emerging credit concerns or upside signals
- Customizable risk‑adjusted opportunity metrics for portfolio diversification
- Secure API and web‑based dashboard for integration with underwriting systems and investment platforms
- Explainable AI visualizations that show the key drivers behind each score to support auditability
- Continuous model retraining with new data streams to maintain predictive accuracy