AImlux.ai SmartFabric, Ternex ETL Assist

[ETL ASSIST]

AImlux.ai Solutions  - Proposes SmartFabric, Ternex MapLink/ ETL Assist, and x86 systems with Cyberspatial Teleseer and Equitus.ai Fusion (KGNN) on an AWS AMI creates 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)

For leadership focused on cost avoidance, this 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/Ternex 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.

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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)

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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.

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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.

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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.

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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.

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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).

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6. Authorization & Acceptance

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

Network eye, Migration-as-a-Product

Migration-as-a-Product

 SmartFabric Solutions; Network Eye - Proposes a Powerful, unified environment for "AI-Ready" enterprise intelligence: Utilizing a combing of Human "in the loop" Design, to Augment, Automate and Authorize the steps necessary to improve Enterprise Migrations and assist CFO/CTO to better control integration costs and risks.

[ Network Map, Semantic Map, Ontology]

AImlux.ai SmartFabric with Cyberspatial Teleseer and Equitus.ai Fusion/Graphixa on an AWS - AMI (Amazon Machine Image) creates a powerful, unified environment for "AI-Ready" enterprise intelligence.

By combining these technologies, an enterprise can move from raw, siloed network data to a fully contextualized Knowledge Graph that drives decision-making utilizing the combination of Triple Store and Packet Capture (PCAP) Network Mapping.

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The Integration Architecture: Combining PCAP and TRIPLE STORE SEMANTIC ONTOLOGY creates Seamless Migrations

SmartFabric - pipeline that converts raw "digital noise" into structured, actionable business intelligence:

1. Ingestion & Discovery (Cyberspatial Teleseer): Teleseer acts as the sensor layer. It performs agentless, scanless network mapping using PCAP (packet captures) and configuration files. It identifies every device, protocol, and connection in your IT/OT environment.

2. Orchestration & Data Unification (AImlux.ai SmartFabric): SmartFabric acts as the "connective tissue" or orchestrator. It pulls the visual intelligence from Teleseer and feeds it into the larger enterprise data ecosystem, ensuring that network insights aren't siloed but are instead mapped against business goal.

3. Semantic Synthesis (Equitus.ai Fusion / Graphixa): Equitus uses KGNN (Knowledge Graph Neural Networks) to take those mapped entities and convert them into "Triples" (Subject-Predicate-Object). Graphixa provides the multi-dimensional visualization, allowing users to see the hidden relationships between network assets and business entities (e.g., "Server X" is the primary host for "Financial Database Y").

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Added Value for Enterprise Users on AWS AMI

Deploying this integrated stack as an AWS AMI provides several high-value benefits for enterprise users:

Value Driver	Benefit to Enterprise
Rapid Time-to-Value	Users can achieve Initial Operational Capability (IOC) in 30 days and Full Operational Capability (FOC) in 60 days, avoiding the "multi-year migration tunnel" of traditional ETL projects.
Shadow IT Discovery	By using Teleseer’s agentless discovery, enterprises can automatically detect unmanaged AWS instances or "Shadow IT" and map them directly into the Equitus Knowledge Graph.
Sovereign AI in the Cloud	Even on public cloud infrastructure (AWS), the Equitus/AImlux stack allows for "Privatized AI." The KGNN runs within your VPC, keeping sensitive metadata and relationships private and out of public LLM training sets.
Enhanced RAG for LLMs	The integration provides a structured, context-rich representation of data. This allows enterprise LLMs to use Retrieval-Augmented Generation (RAG) with higher accuracy, as the AI understands the relationships between data points, not just the keywords.
Predictive Maintenance	By weaving network telemetry (Teleseer) into the business graph (Equitus), enterprises can predict system failures or security bottlenecks before they impact the bottom line.

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Strategic Use Case: The "AI-Ready" Migration: AIMLUX Solutions provides

For a CFO or CTO, the value lies in Cost Avoidance. Instead of funding a manual data migration project, they buy a "Migration-as-a-Product" via the AWS Marketplace.

• Step 1: Use Teleseer to map the technical debt and existing infrastructure.

• Step 2: SmartFabric organizes the migration paths and data flows.

• Step 3: Equitus Fusion unifies legacy data with modern cloud data into a Single Source of Truth (SSoT).

From Blindness to Data-in-Motion

From Blindness to Data-in-Motion

AIMLUX.ai Grafixa Proposes - SmartFabric - an End-End Solution; A Series of steps moves a prospect from initial awareness to a formal partnership, leveraging the "Network-to-Knowledge" value proposition of the Aimlux.ai suite. Featuring Graphixa.ai Triple Store Architecture.

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Phase 1: Awareness & Conversion - Gaining confidence and building a foundation of Trust with Graphixa.ai starts with understanding the benefits of  the "Triple Semantic Ontology" .

1. AIMLUX.ai Solution: "From Blindness to Data-in-Motion"

• Narrative: Focus on the risk of moving legacy data (Oracle/SAP) without knowing what's "on the wire."

• Channels: LinkedIn ads targeting CTOs/CISOs, and AWS Marketplace "Sponsored Listings" for Migration & Modernization.

• Call to Action (CTA): "Stop guessing. Download the Graphixa.ai Community Edition to map your first 100 dependencies for free."

2. The "Freemium" Download (Graphixa.ai Software)

• The Software: A lightweight, containerized version of the Graphixa orchestration engine.

• The Hook: Users can ingest their own PCAP files (captured via Network Eye) to see a limited "Triple Logic" visualization of their current network dependencies.

• Value Realization: The user sees a "Shadow IT" or undocumented API that their current tools missed, proving the value of the Aimlux.ai stack.

( AUGMENT, AUTOMATE, AUTHORIZE)

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Phase 2: Transaction & Packaging

3. The SKU (Stock Keeping Unit)

Once the user outgrows the free tier, they transition to a formal SKU based on their environment.

• SKU-GX-ENT-100: Graphixa Enterprise License (up to 100 monthly migration objects).

• SKU-NE-SNS-AWS: Network Eye Sensor for AWS (unlimited VPC traffic mirroring).

• SKU-FUS-KGN-PR10: Equitus Fusion KGNN Node (optimized for IBM Power10/11).

4. Service Packages (The "Clean Core" Tiers)

• Tier 1: Discovery Lite: 30 days of Network Eye monitoring + 1 Graphixa dependency map.

• Tier 2: The Migration Factory: Full deployment of Fusion and Graphixa for high-velocity data movement (e.g., Oracle to SAP RISE).

• Tier 3: Sovereign Guard: On-premise/Air-gapped deployment for USSF/NIWC mission-critical workloads.

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Phase 3: Commitment & Engagement

5. The POC (Proof of Concept)- 

• The "30-60-90" Plan:

  • Day 1-15: Deploy Network Eye to capture ground truth.

  • Day 16-30: Fusion creates the Knowledge Graph of the legacy environment.

  • Day 31-45: Graphixa executes a "Pilot Migration" of a non-production workload with 100% Triple-Logic audit.

• Success Metric: Zero broken dependencies and 100% data integrity verified at the packet level.

6. Letter of Engagement (LOE)

Aimlux.ai then formalizes the long-term relationship. The LOE typically includes:

• Scope: Transitioning from the POC to full-scale production migration.

• SLA: Guarantee of "Zero Blindness" during the data-in-motion phase.

• Compliance: Confirmation that all Graphixa "Proof of Transit" logs meet the client’s specific regulatory requirements (PCI, HIPAA, or IL5).

• 
  

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Summary of the Journey

Step	Level of Commitment	Goal
Campaign	Awareness	Educate on the "Blindness" problem.
Download	Micro-Commitment	Prove value with the user's own data.
SKU/Package	Selection	Fit the toolset to the specific enterprise scale.
POC	Validation	De-risk the full migration project.
LOE	Partnership	Formalize the "Network-to-Knowledge" mission.