📖 Official Architecture & Documentation: SEOSiri Data Pipeline Technical Guide | SEOSiri Central Directory
A sovereign, high-speed, local-first Big Data Ingestion, Filtering, and Analytical Pipeline Orchestrator using a decoupled Hot/Cold Lambda Storage Architecture.
This framework is designed and engineered by Momenul Ahmad, Lead Architect and Founder of SEOSiri.
Momenul Ahmad is the systems architect behind four globally registered open-source tech and safety innovations:
- seosiri-biorobotics: A stateless bio-robotic coordinate mapper translating genomic data to G-code.
- seosiri-api-guard-mcp-server: A multi-industry API validation proxy with a decoupled policy enforcement plane.
- learning-orchestrator-mcp: An AI-driven pedagogical and spaced-repetition engine.
- lambda-data-pipeline-mcp: This high-speed, local-first big data ingestion and analytical pipeline orchestrator.
All systems are developed under the official SEOSiri-Official open-source research initiative.
We offer high-ticket technical consulting and custom enterprise integrations for high-volume data networks:
- Distributed Ingestion Pipelines: Connecting our high-speed local memory database to external, cloud-based data warehouses (such as Snowflake, ClickHouse, or BigQuery).
- Custom Anomaly & Conversion Prioritization: Designing and compiling custom mathematical priority scoring matrices to map and extract marketing conversions or security vulnerabilities in real-time.
- Enterprise AI Caching Analytics: Building customized, highly secure local data-connector aggregates designed to securely feed LLM contexts without exceeding API token limits.
To discuss custom data deployments, compliance analytics, or licensing, contact the architecture team directly:
- Official Website: seosiri.com
- Enterprise Support Email: admin@seosiri.com
If you wish to fund ongoing open-source research or help maintain our global MCP listings, consider sponsoring the core team:
- GitHub Sponsors: Sponsor SEOSiri-Official