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Genify

Genify provides SaaS APIs that enable banks and fintechs to integrate personal finance management features into their mobile apps. Their APIs offer data enrichment, transaction categorization, spending analytics, and product recommendations to improve user engagement and financial well-being.

Founded 2019112K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Banks and fintechs face challenges in extracting actionable insights from raw transaction data due to inconsistencies in formatting, lack of categorization, and limited enrichment. This makes it difficult to offer personalized financial management tools and product recommendations to their customers.

Solution

Genify provides a suite of SaaS APIs that standardize and enrich financial data, enabling banks and fintechs to integrate personal finance management features into their applications. The APIs offer transaction categorization into over 70 expense and income categories, merchant identification with logos and website URLs, carbon footprint calculation, credit scoring, and personalized product recommendations. Genify's solutions are designed to be country-agnostic and can be deployed on-premises or in the cloud. By leveraging AI and machine learning, Genify transforms complex financial data into actionable intelligence, powering spending analytics, event-based notifications, and alternative credit decisioning.

Target Audience

Genify primarily targets banks, fintech companies, and other financial institutions seeking to enhance their personal finance management offerings and improve customer engagement.

Features

  • Transaction Data API: Categorizes transactions into 70+ expense and income categories and provides merchant details, logos, and website URLs.
  • Carbon Footprint Calculator API: Calculates the carbon footprint of transactions based on transaction amount, merchant category, location, and purchase type.
  • Credit Scoring API: Scores loan applicants using traditional and alternative data sources, including digital footprint and behavioral information.
  • Recommendation API: Recommends personalized banking and e-commerce products based on user behavior data and machine learning.
  • Multi-Lingual Support: Enriches transactions in English, Arabic, Russian, Chinese, and other languages.
  • Batch API Calls: Enables enrichment of a batch of transactions in a single API call.
  • User Feedback Loop: Allows users to correct categorizations, improving the accuracy of the AI models.
  • Flexible Deployment: Can be deployed on-premises or in the cloud.
This profile is AI-generated and may contain inaccuracies.