Nammu21 is a digitization and analytics platform that utilizes the NEL Protocol to transform complex transaction documents into computable financial constructs, creating a harmonized golden source of data. This technology enhances workflow efficiencies in private credit markets by enabling real-time access to accurate data and automating internal credit processes.
Funding
$15.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
XHFounders
Product
Problem
Private credit markets face challenges in efficiently managing and extracting data from complex transaction documents, leading to manual data entry, siloed information, and limited real-time insights. The unstructured nature of loan agreements and related documents hinders automation and creates inefficiencies in internal credit processes.
Solution
Nammu21 offers a digitization and analytics platform that transforms complex, language-based private credit transaction documents into computable financial constructs using the NEL Protocol. The N21 Framework enables immediate access to harmonized, golden-source data, streamlining workflows and fostering interoperability across internal and market systems. By leveraging a comprehensive knowledge graph of credit instruments and a library of finance language Metapatterns, the platform ingests transaction documents at scale, creating structured data for enhanced portfolio analytics, AI-driven insights, and automated processes. N21 facilitates the creation of Digital Credit Instruments (DCIs) that can operate as API-driven services or as integral parts of smart contracts and on-chain transactions.
Target Audience
Nammu21 targets financial institutions, asset managers, and private credit firms seeking to digitize and automate their loan operations, improve data accessibility, and gain deeper insights into their portfolios.
Features
- NEL Protocol: Transforms transaction language into computable business logic and golden source reference data.
- N21 FLP Engine: Ingests transaction documents at scale, creating harmonized authoritative golden source data.
- Knowledge Graph: A comprehensive knowledge graph of credit constructs and their relationships.
- Metapatterns: Encodes senior-level human knowledge of finance language and usage patterns.
- Data Modules (NDMs): Data flow connectors for bidirectional translation between applications and data repositories.
- Embed Modules (NEMs): Modules of N21 interfaces available for embedding into other web applications.
- Feature Formulas (NF2): Formulas of encoded business logic of the rights, requirements, and obligations from a credit instrument.
- AI Agents: Cognitive modules power expert LLM agent behavior, including RAG data agents and reference chat agents.
- Normalized Memory: Hybrid storage model with normalized data fields across the entire portfolio, enabling RAG efforts.
- GraphQL APIs: Facilitate seamless cross-functional coordination, workflow process design, and AI integrations.