AI-Powered Knowledge Graph Platform for Semantic Discovery
Case Study: Semgraph
Melt Studio partnered with Semgraph to develop an advanced AI-powered knowledge graph platform that integrates data from multiple APIs and web sources to generate meaningful semantic networks. The system empowers users with enhanced information retrieval, relation extraction, and intelligent graph visualization—turning raw data into actionable insights through sophisticated NLP and backend engineering.

THE CHALLENGE
Designing a Modular, Scalable NLP Graph Platform
Semgraph aimed to construct a flexible platform capable of collecting, analyzing, and visually representing data across domains using natural language processing and advanced graph analytics. It needed a technical partner to implement robust data pipelines, integrate AI models, and enable real-time semantic graph creation.
INITIAL STATE

OUR SOLUTION
A Full-Stack, AI-Powered Pipeline for Semantic Intelligence
Requirements
Simplification
We structured Semgraph as a modular system with specialized components for data fetching, NLP processing, and entity graph modeling. Each component was tailored to handle specific tasks like entity recognition, summarization, and relationship mapping—simplifying integration and boosting clarity.
Application
Building
Melt Studio developed the platform using React for the frontend and Node.js with NestJS on the backend. We incorporated BERT-based summarizers, Spacy for NER, and neural models for relation extraction. The system was deployed with containerization and CI/CD using ArgoCD.
Prototype
Release
The platform reached a production-ready prototype featuring entity linking, source traceability, graph visualization, and AI summarization. While still under development when archived, the Semgraph prototype demonstrated robust NLP-driven data transformation.
DELIVER STATE


CUSTOMER FEEDBACK
High Quality and Technical Innovation Recognized
The client reported a high level of satisfaction with the platform’s reliability, usability, and innovation. While the project concluded early, Semgraph's architecture, model integration, and frontend/backend collaboration set a high bar for semantic AI platforms.
Trusted by Startups Across the U.S.
We have delivered products for startups from Anchorage to New York.
Brandon Gonzalez
SemGraph
Exceptionally high skill and little oversight required, which at the moment allows me to work on other parts of the project. The engineers are self-starters and take initiative on their own. I really look forward to working long-term with you all
March 18, 2021
Sang Seo
Truvle
hi juan, wanted to drop a note, i think luis has really stepped up, he's meeting my expectations especially over the last week. will keep monitoring but this is really promising. in other news, wanted to leave feedback for the dev team, hans, oscar, and sebastian have been absolute superstars. i've never worked with a group of guys who are so good about executing good quality code aligned to business expectations. when i don't have to touch the SDLC constantly and almost have too little to do for a project i know the team is proactive. please let them know they're doing great. off the back of this, i work for another company that is seeking an initial exploration into moving away from eastern europe in their current engagement, would love to have a discussion with you about that company's needs as well. 4 person team + pm. we are only just barely getting started with exploring the idea of changing the team but i thought i'd throw it your way as a heads up for possibility.
July 12, 2024
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