Platform Architecture
A connected architecture combines automated information collection, application APIs, structured data, semantic retrieval and AI integrations to support business intelligence for the chemical industry.
System Architecture
Each layer has a defined responsibility, from collecting industry information to delivering intelligence through the application.
React · TypeScript
The web application provides the interface through which users access Molivex Intelligence and its connected capabilities.
n8n · External data sources
Automated workflows collect relevant public information and coordinate the steps needed to prepare it for the platform.
FastAPI · REST APIs
The backend connects the application to business services, validates requests, applies authentication and access checks, and coordinates intelligence features.
PostgreSQL · pgvector
The knowledge repository stores structured business records and supports semantic retrieval across information indexed for search.
AI model · Billing integration
External services extend the platform's capabilities beyond its own application and data layers.
Data Flow 01
The collection pipeline prepares external information for storage, retrieval and use by the application.
Configured sources provide industry news, company information and public industry signals.
n8n coordinates collection workflows, while processing steps normalize, deduplicate and enrich the information.
The application and backend services connect processed information to structured records in PostgreSQL and semantic-search capabilities supported by pgvector.
Data Flow 02
When users explore intelligence or ask the AI Assistant a question, the application connects their request to relevant business records and search capabilities.
A user explores a company, market, competitor or business opportunity through the Molivex Intelligence interface.
FastAPI endpoints validate requests, apply authentication and access controls, and connect the request to the relevant service.
Business services query relevant records. Semantic retrieval can find related information, and the AI Assistant can use retrieved context and source references.
The interface presents the available analysis, relevant records and supporting context so users can investigate and prioritize next steps.
Technology Stack
The stack separates the user interface, automation, backend services, data storage and AI-assisted retrieval into connected responsibilities.
Experience
Builds the user interface and interactive intelligence modules.
Automation
Orchestrates scheduled collection and information-processing workflows.
Application APIs
Exposes backend endpoints and connects requests to business services.
Structured data
Stores the platform's business records and application data.
Semantic retrieval
Supports vector similarity search over indexed information.
AI capabilities
Enables configured AI-powered responses using relevant information and context.
The purpose
Molivex Intelligence connects fragmented industry information with structured records, search and AI-assisted analysis. The result is a more accessible view of market developments, competitor activity and potential business opportunities. Teams use this intelligence to investigate signals, evaluate options and decide what to do next.
