Solving complex relationships and time

Xorcery AAA Temporal intelligence 

xorvery aaa

Xorcery AAA Platform

Alchemy – Aurora – Astral

The Xorcery AAA Platform is a next-generation data infrastructure designed to help organizations connect, store, and visualize data with speed, transparency, and security. Built on modular open-source components, the platform provides a seamless path from
raw data ingestion to advanced temporal intelligence

 

pastpresentfture

 

Alchemy – Data Connection Engine

Alchemy – Data Connection Engine

Alchemy is the entry point to Xorcery AAA. It makes integrating data sources simple, flexible, and fast.

  • Seamless connectivity: Ingest both live streams and stored datasets from
    virtually any source.
  • Configurable pipelines: Set up flows with lightweight YAML/JSON
    configuration, no heavy coding required.
  • Real-time processing: Build reactive pipelines for instant monitoring and
    analysis.
  • Domain integration: Plug directly into specialized industry tools, unifying their
    outputs into one ecosystem.

Explore Alchemy on GitHub

 

Aurora – Temporal Event Store

Aurora – Temporal Event Store

Aurora acts as the memory of the platform, capturing every event and change over
time. Instead of overwriting data, it records the full history — enabling reconstruction,
traceability, and deep analysis.

  • Time-travel queries: Revisit past states to see exactly how things evolved.
  • Graph-based projections (Neo4j): Map relationships across entities, signals,
    and events over time.
  • GraphQL API: Query the temporal graph with precision by timeframe,
    relationship, or event type.

Core XORCERY AAA Repository:

 

Astral – Visualization
Layer

- in development

Astral will provide intuitive visualization and exploration tools to make data and
relationships directly understandable. Designed for analysts and decision-makers, it will
bridge data science and operational use cases.

 

 

 

 

 

Learn more and explore

 

Contextual ABAC
– Secure Data Access

Every data access request is evaluated in context — factoring in:
● User attributes: roles, relationships, jurisdiction
● Data attributes: sensitivity, classification, source
● Situational context: time, location, purpose
This ensures granular security without limiting flexibility. 

 

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