Ntropy

What is Ntropy?

Who created Ntropy?

Ntropy was co-founded by Naré Vardanyan, who is also the CEO of the company. Ntropy is focused on providing the most accurate financial data standardization and enrichment API, aimed at understanding financial data on a large scale, regardless of the data source's format, geographic location, or language. The company's mission revolves around leveraging financial transaction data to improve lives globally by making this data more accessible and intelligently structured for enhanced financial services.

What is Ntropy used for?

• Insights: Generates P&L and cashflow statements from raw bank data, with top-tier transaction categorization for accuracy
• Butter AI: Provides a one-stop shop for sales, finance, accounting, billing, and cost data with a natural language layer for real-time unit economics and forecasts
• Automating underwriting processes
• Improving financial statement accuracy
• Enhancing transaction categorization
• Simplifying financial data analysis
• Facilitating custom reporting and real-time insights
• Boosting productivity for analysts and underwriters
• Enriching financial data through language models
• Pattern matching for new transactions
• Generating P&L and cashflow statements from raw bank data
• Top-tier transaction categorization for accuracy in underwriting and analysis
• Natural language interface for querying and reporting on sales, finance, accounting, billing, and cost data
• Real-time monitoring of unit economics and forecasts
• Financial transactions understanding across different markets and languages
• Enrichment of financial data with high accuracy
• Integration into existing products for enhanced financial services
• Leveraging language models for financial products
• Accessing a growing merchant database with millions of unique merchants
• Pattern matching for new transactions with high success rate
• Standardizing financial data
• Enriching financial data
• Understanding financial data at scale
• Building language models for financial data
• Integrating with various data sources
• Supporting multiple geographies
• Enhancing financial products with language models
• Pattern matching for transactions
• Cost-effective deployment of language models
• Reducing latency in financial products

Who is Ntropy for?

• Non-tech underwriters
• Analysts
• SWE - Distributed Systems, Data & ML
• Distributed Systems
• Data & ML
• Companies involved in financial data management, underwriters, analysts
• Financial Professionals
• Data Analysts
• Product Managers
• Business analysts

How to use Ntropy?

To use Ntropy, follow these steps:

1. Understand Ntropy's Purpose: Ntropy is a financial data standardization and enrichment API aimed at transforming financial data into a more accessible and intelligent format globally.

2. Access Ntropy: Visit the official Ntropy website to access the API tool. You can utilize Ntropy to standardize and enrich financial data from various sources and geographical locations.

3. Leverage Language Models: Ntropy utilizes language models to understand financial data regardless of its source, format, language, or geography. These models enable seamless processing of financial information at scale.

4. Benefit from Merchant Database: Ntropy boasts a merchant database with over 100 million unique merchants. This extensive database, combined with an intelligent transactions' cache that matches over 95% of new transactions, allows users to leverage accurate and up-to-date data for their financial products.

5. Embed the Models: Users can integrate Ntropy's robust language models into their financial products. These models offer high performance and accuracy at a reduced cost and latency compared to traditional methods.

By following these steps, you can effectively utilize Ntropy to standardize, enrich, and leverage financial data for improved financial services and products.