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// OPEN SOURCE IT & AI

BUILT FOR
ORGANISATIONAL OWNERSHIP

We design and build transparent, local-first systems that organisations fully control.

[aXeTech] // v2.0.24

// VISION

A MODERN IT FOUNDATION

Why this matters
  • Digital systems now form the backbone of operations, decision-making and compliance.
  • This dependency increasingly runs through external platforms and closed-source software.
  • As a result, control, continuity and long-term reliability become strategic concerns.

For organisations with responsibility, scale or sensitive information, these are strategic questions — not technical details.

// WHAT_WE_DO

RESPONSIBLE IT

Practical, open source systems built for ownership. Because when you own it, you control it.

// SYSTEM_01

GOVERNANCE & RISK

Control, accountability and readiness

Do you know where your organizational data actually goes?

[ PROBLEM ]

Most organizations have no clear oversight on their IT and AI landscape. Organizational and private data flow through external platforms and descisions are made based on processes we do not know about. When regulators ask who controls what, what do you say?

[ WHY NOW ]

Existing and new regulations such as the EU AI Act requires documented accountability. ISO 27001 audits expect clear answers about data flows and decision ownership.

[ OUTCOMES ]
  • [01]Complete risk inventory: IT, data, AI with prioritized actions and ownership
  • [02]Compliance-ready documentation aligned with ISO 27001, EU AI Act, ISO 38507
  • [03]Shared understanding across technical and non-technical stakeholders
  • [04]Control and accountability established before auditors arrive
// SYSTEM_02

DATA & ARCHITECTURE

Reliable data as decision infrastructure

Can you trace where that dashboard number actually comes from?

[ PROBLEM ]

Pipelines break without warning. Transformations are opaque. Teams spend more time fixing data flows than generating insights.

[ WHY NOW ]

AI depends on trustworthy data. You cannot scale analytics you cannot trace or verify.

// TECH_STACK
Airflow, DBT, ClickHouse, DuckDB, Superset, Frappe Framework, Ollama, vLLM
And more..
[ OUTCOMES ]
  • [01]Transparent pipelines: Airflow, dbt, ClickHouse, DuckDB with full traceability
  • [02]Analytical platforms you can inspect, extend and truly own
  • [03]Data quality enforced at every layer with documented lineage
  • [04]Solid foundation for AI that withstands scrutiny
// SYSTEM_03

LOCAL AI & AUTOMATION

Intelligence inside organisational control

What happens to your proprietary data when it leaves your infrastructure?

[ PROBLEM ]

Every AI query sends proprietary context outside your walls. Bills fluctuate unpredictably. You have no control over what happens to your data.

[ WHY NOW ]

IP-sensitive industries cannot afford data leakage. Privacy regulations require you prove where data goes.

[ OUTCOMES ]
  • [01]Private LLM deployments: IBM, Mistral, Roost running inside your infrastructure
  • [02]Fine-tuned models with separated training, inference and logging environments
  • [03]Automation agents (n8n) for procurement, documents and knowledge that respect boundaries
  • [04]Predictable costs. Zero external leakage. Full governance control.
// SYSTEM_04

INFRASTRUCTURE

Where control physically lives

Could you actually move your systems tomorrow if you needed to?

[ PROBLEM ]

Cloud bills rise quarterly without explanation. Moving workloads means rebuilding everything. Vendor terms shift, but you stay locked in.

[ WHY NOW ]

Real control requires infrastructure you own physically and contractually.

[ OUTCOMES ]
  • [01]aXeTech Cloud: local-first hosting for data platforms, AI and internal applications
  • [02]On-premise, hybrid or private cloud with transparent, predictable costs
  • [03]AI nodes, compute and storage delivered and integrated
  • [04]Infrastructure that follows your rules, not vendor terms

// CONTACT

Let's talk

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