Sunday, March 1, 2026

AImlux.ai SmartFabric, MaapLink ETL Assist








[ETL ASSIST]


AImlux.ai Solutions  - Proposes an AWS AMI Migrations solution for x86 systems; Equitus.ai MapLink (MaaP) ETL Assist,  Fusion (KGNN) and Cyberspatial Teleseer  create a robust environment for converting raw data into actionable intelligence. This ecosystem is accessible to enterprises through Sourcewell and TD SYNNEX procurement channels.


Realizing "Migration-as-a-Product" (MaaP)


AIMLUX.ai Solutions provides leadership focused on cost controls and risk avoidance, by combining stack functions as an automated migration engine:


  1. Map: Teleseer identifies technical debt and legacy infrastructure.

  2. Organize: SmartFabric structures the migration paths and data flows to AWS.

  3. Unify: Equitus Fusion/MapLink synthesizes legacy and cloud data into a Single Source of Truth (SSoT).




MapLink: Migration-as-a-Product (MaaP) - 

 

The MapLink framework ensures data remains "AI-Ready" by maintaining context across three essential pillars:


  • Governance Mapping (GovMap): Encodes access policies, sensitivity labels (PII/PHI), and compliance rules directly into the data structure for immediate analytical readiness.

  • Lineage Mapping (LinMap): Preserves the horizontal data journey, including the entire transformational path and historical origins.

  • Provenance Mapping (ProMap): Guarantees vertical integrity and authority, providing a verifiable chain of custody for all migrated assets.



Triple Store: The Engine of Enterprise Migration


MapLink - by utilizing a Triple Store ($Subject \>>> Predicate \>>> Object$) via Equitus.ai Fusion, the migration process is enhanced through three key mechanical layers:


This approach allows enterprises to move beyond simple "lift and shift" migrations toward a fully contextualized, Sovereign AI posture w
within their own AWS VPC.





 AIMLUX.ai:

Statement of Work (SOW) is designed for procurement through the TD SYNNEX / Sourcewell Contract (#030425-SYN). It focuses on the deployment of the AI-Ready Enterprise Intelligence Stack (AImlux, Ternex, Cyberspatial, and Equitus) via AWS AMI.




Statement of Work (SOW): AI-Ready Enterprise Migration & Intelligence


Project Name: Automated MaaP (Migration-as-a-Product) & Knowledge Graph Synthesis

Procurement Vehicle: Sourcewell / TD SYNNEX Contract #030425-SYN

Deployment Environment: AWS AMI (x86 Systems)



1. Purpose & Objectives

The purpose of this engagement is to deploy a unified "AI-Ready" ecosystem that transforms raw, siloed network data into a contextualized Knowledge Graph.


  • Objective 1: Implement agentless network discovery and infrastructure mapping.

  • Objective 2: Execute an automated "Migration-as-a-Product" (MaaP) of legacy databases to AWS.

  • Objective 3: Synthesize migrated data into a Triple Store using Knowledge Graph Neural Networks (KGNN) to enable advanced RAG and predictive analytics.





2. Scope of Work

The Vendor shall provide the following integrated solution components and professional services:


A. Ingestion & Discovery (Cyberspatial Teleseer)

  • Deploy Teleseer via AWS AMI for agentless, scanless network mapping.

  • Identify all IT/OT devices, protocols, and hidden "Shadow IT" instances.

  • Generate baseline connectivity maps from PCAP and configuration files.



B. Orchestration & Migration (AImlux.ai SmartFabric & Ternex ETL Assist)


  • Utilize SmartFabric as the connective orchestration layer.

  • Execute database migration using Ternex ETL Assist to preserve three critical dimensions via MapLink:

    • GovMap: Encoding access and compliance policies.

    • LinMap: Tracking data journey and transformation history.

    • ProMap: Establishing verifiable origin and chain of custody.



C. Semantic Synthesis (Equitus.ai Fusion & Ternex)


  • Ingest migrated data and network telemetry into the Equitus Fusion Triple Store.

  • Apply KGNN to create [Subject \>>> Predicate \>>> Object] relationships.

  • Deploy Ternex for multi-dimensional visualization of the resulting enterprise Knowledge Graph.

    Feature

    Legacy Migration (Manual ETL)

    Ternex MaaP (Triple Store + KGNN)

    Logic Transfer

    Often lost; requires re-coding.

    Preserved via Semantic Triples.

    Risk

    High (Data loss/Schema mismatch).

    Low (Continuous governance mapping).

    Speed

    Months/Years of manual mapping.

    Rapid (Automated discovery & mapping).

    End Result

    A static database.

    An AI-Ready Knowledge Graph.













3. Deliverables & Milestones


Key Performance Indicators (KPIs) for Deliverable Acceptance:

  1. Data Fidelity: 100% preservation of Lineage (LinMap) and Provenance (ProMap) during the transition from legacy x86 systems to AWS.

  2. Security Posture: Verification that GovMap policies are automatically applied to the migrated data within the Triple Store.

  3. Search Latency: Demonstrating that the Knowledge Graph can be queried semantically to support RAG (Retrieval-Augmented Generation) in under 200ms.





4. Technical Requirements


  • Infrastructure: Deployment on x86-based AWS EC2 instances.

  • Security: "Privatized AI" configuration within the Client’s VPC.

  • Compliance: All data mapping must adhere to the GovMap standards defined in the project kickoff.





5. Pricing & Payment Terms

  • Pricing Model: Fixed Fee for Implementation + Subscription for AWS AMI License.

  • Procurement: To be processed via TD SYNNEX under the Sourcewell contract.

  • Payment Schedule: * 20% upon execution of SOW.

    • 40% upon completion of Milestone 2 (IOC).

    • 40% upon completion of Milestone 4 (FOC).





6. Authorization & Acceptance


This SOW is governed by the terms and conditions of the TD SYNNEX / Sourcewell Master Service Agreement.






AImlux.ai SmartFabric, MaapLink ETL Assist

[ETL ASSIST] AImlux.ai Solutions  - Proposes  an  AWS AMI  Migrations solution for   x86 systems; Equitus.ai MapLink (MaaP)  ETL Assist,   F...