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README.md

Axelliant Software Engineering

AI-Native • Distributed Systems • Enterprise Cloud • ERP Modernization


Engineering Manifesto

At Axelliant, we engineer systems where:

  • AI operates as infrastructure.
  • Cloud is defined in code.
  • Frontend is treated as a runtime.
  • Observability precedes scale.
  • Security is embedded at design time.
  • Automation eliminates human drift.

We build platforms that survive production.


🚀 Technology Landscape

🧠 AI & Intelligent Systems

  • Agentic AI frameworks
  • MCP (Model Context Protocol)
  • Tool-augmented LLM systems
  • RAG pipelines
  • Vector search architectures
  • AI + ERP/CRM integration
  • Streaming inference systems

🎨 Frontend Engineering

React Ecosystem

  • React 18+
  • Next.js (App Router, SSR, ISR)
  • Micro-frontend architectures
  • Streaming UI
  • Advanced state management

Angular Ecosystem

  • Angular 15+
  • Nx monorepo structures
  • RxJS-driven patterns
  • Enterprise modular frontend architecture

Frontend is an execution layer — not decoration.


⚙ Backend & Distributed Systems

  • Clean Architecture / DDD
  • CQRS
  • Event Sourcing
  • Multi-tenant SaaS systems
  • High-volume ingestion pipelines
  • Idempotent API design

☁ Cloud & Infrastructure

  • AKS / EKS
  • ECS / Fargate
  • Infrastructure as Code (Terraform, Bicep)
  • GitHub Actions CI/CD
  • Blue-Green & Canary deployments
  • Secure secret management

Cloud is not hosting.
Cloud is architecture.


🔐 Security & Governance

  • OAuth2 / OIDC
  • Entra ID / Azure AD
  • Zero-trust architecture
  • PCI-aligned systems
  • Policy-based authorization
  • Automated dependency scanning

Security is architectural — not procedural.


🏗 System Architecture Pattern

flowchart LR
    A[React / Angular / Next.js] --> B[API Gateway]
    B --> C[Microservices Layer]
    C --> D[Event Bus]
    C --> E[AI Agent Layer]
    E --> F[Vector Store]
    C --> G[Databases]
    C --> H[ERP / Dynamics 365]
    C --> I[Telemetry Pipeline]
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This is our production implementation model for AI-augmented enterprise platforms.


🏢 Enterprise Modernization

  • Microsoft Dynamics 365 (Finance, SCM, Project Ops)
  • ERP modernization strategies
  • API-first integration
  • Payment system architectures
  • Government-scale deployments
  • Logistics platform engineering

📊 Engineering Footprint

Community Internal Systems AI Systems Cloud

200+ internal repositories powering enterprise AI systems and distributed cloud platforms.


🌍 Connect With Axelliant

Website: https://axelliant.com
LinkedIn: https://www.linkedin.com/company/axelliant
Contact: [email protected]


Axelliant Software Engineering
Autonomous Systems • Distributed Intelligence • Cloud Discipline

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    Kotlin 0 0 23 4 Updated Nov 10, 2026
  • ax-rag-starter Public

    ax-rag-starter provides a full retrieval-augmented generation (RAG) pipeline in Python with document ingestion, chunking, embedding storage (e.g., pgvector), hybrid semantic + keyword search, and FastAPI serving

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    Python 0 Apache-2.0 0 0 0 Updated Feb 13, 2026
  • ax-agent-core Public

    Description: A production-grade agentic AI foundation for building tool-augmented systems. Includes MCP-ready connectors, structured tool execution, model routing/fallback, cost tracking, and observability hooks so agents can run safely in real enterprise environments.

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    HCL 0 Apache-2.0 0 0 0 Updated Feb 13, 2026
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    A premium enterprise starter: Next.js + TypeScript with scalable architecture.

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    C# 0 MIT 144 0 0 Updated Feb 12, 2026
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    Regorus - A fast, lightweight Rego (OPA policy language) interpreter written in Rust.

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    Rust 0 83 0 0 Updated Feb 12, 2026
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    SQL Tools API service that provides SQL Server data management capabilities.

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