Interoperability

Interoperability and systems integration

Problem

Systems that don't talk to each other, data in incompatible formats and platforms without an API that force manual data transfer.

Solution

Interoperability layer that connects different systems through FastAPI APIs, transforming and normalizing data for exchange. When a platform exposes no API, data is obtained via automated scraping or RPA, and AI can be used to reorder and structure the information so it is usable across systems.

Main features

Integration APIs built with FastAPI
Data transformation and normalization between systems
Interconnection of heterogeneous platforms
Automated scraping of platforms without an API
RPA to obtain data programmatically
Use of AI to reorder and structure data
Scheduled synchronization between systems
Monitoring of integration flows

Workflow

1

Identification of the systems and data to integrate

2

Definition of the common data model

3

Extraction via API, automated scraping or RPA depending on the source

4

Data transformation and normalization

5

AI-based reordering when data is poorly structured

6

Delivery to the target system via API

7

Continuous monitoring and synchronization

Benefits

Previously isolated systems that now communicate
Elimination of manual data transfers
Data retrieval even from platforms without an API
Normalized, consistent information
Automated integration processes
Lower operational load and fewer errors

Regulatory considerations

Safeguarding of data exchanged between systems
Logging and traceability of integration flows
Compliance with each source platform's terms of use
Access control for integrations

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