Araxion Systems

Yerevan, Armenia · Engineering worldwide

Engineering AI systems for serious business.

We design production-grade AI platforms, data infrastructure and enterprise software for organizations operating at scale.

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Reference architecture · enterprise intelligence stack

Capabilities

From prototype to production infrastructure.

We work where software becomes part of the business itself: processing information, coordinating operations and supporting high-value decisions every day.

01 / AI SYSTEMS

AI Systems

Production AI applications built around proprietary data, workflows, governance and security requirements.

  • Enterprise agents
  • RAG
  • Evaluation
  • ML infrastructure

02 / DATA PLATFORMS

Data Platforms

Infrastructure that turns fragmented operational information into reliable, observable and usable systems.

  • Streaming
  • Cloud
  • Analytics
  • Governance

03 / ENTERPRISE SOFTWARE

Enterprise Software

Complex internal and customer-facing software engineered for long-term operation, integration and change.

  • Platforms
  • Automation
  • Integration
  • Modernization

Selected patterns

Work is described by the system, not by marketing adjectives.

The examples below demonstrate the kinds of architecture we design. They are reference scenarios, not claims about named clients.

Reference architecture

Financial Intelligence Platform

Unifying operational and financial data into a decision layer.

Real-time ingestion, governed data products, model-serving interfaces and audit-ready observability.

Reference architecture

Enterprise Knowledge System

Private AI over internal documentation.

Permission-aware retrieval, citations, evaluation pipelines and configurable model routing.

Reference architecture

Operations Automation

Event-driven workflows for complex teams.

Rules, approvals, orchestration and real-time operational visibility.

Reference architecture

High-volume Data Platform

Streaming architecture designed for resilient growth.

Decoupled services, data contracts, observability and infrastructure built for controlled evolution.

Each card is a reference architecture: an illustration of how we approach a class of systems. None of them describes a delivered project or a named client.

Operating principles

Engineering is the product.

  1. Architecture before implementation

    System boundaries, constraints and failure modes are defined before scale makes them expensive.

  2. Security by design

    Identity, permissions, secrets, data classification and auditability are part of the architecture.

  3. Measurable performance

    Availability, latency and throughput are engineering targets, not post-launch observations.

  4. Observable production

    Metrics, logs, traces and operational ownership are delivered with the software.

  5. Documentation as delivery

    Architecture decisions, runbooks and interfaces remain understandable after the project team changes.

  6. Controlled AI adoption

    Model quality, privacy, cost and failure behavior are evaluated against explicit acceptance criteria.

Araxion / Research

Applied research before production adoption.

We evaluate emerging AI and distributed-systems techniques against reliability, economics and security requirements before they enter critical workflows.

Explore research

Araxion / Security

Designed for environments where failure is expensive.

Security controls, access boundaries, operational resilience and auditability are integrated into system design from the beginning.

Security practice

Headquarters

Built in Armenia. Engineered for global operations.

Yerevan / Headquarters

KAMAR Business Center

2 Vazgen Sargsyan Street, Office 505
Yerevan 0010
Republic of Armenia

Yerevan · UTC+4

Contact

Start with the system you need to build.

For engineering, partnership and corporate inquiries:

contact@gk-f1.win

Build something that needs to work.

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