Software · Infrastructure · AI

We engineer what happens beyond the obvious.

OfoqX builds reliable software, practical AI solutions, and the infrastructure behind demanding digital and scientific workloads.

Discuss your challenge ↗ Explore what we do ↓
OFOQ / HORIZON01 — ∞
X
Known problemEngineered outcome
AI systems
HPC / GPU
Custom platforms

Built for teams with real operational problems—not just a feature wishlist.

Product engineeringAutomationCloud & platformsScientific computing

Why OfoqX

You do not need a long client wall. You need the right people working on the problem.

We are an engineering-led company. That means fewer rehearsed pitches, more useful questions, and solutions designed around how your business or research environment actually works.

01

Infrastructure-aware

We think beyond the interface: deployment, security, observability, performance, and operations are part of the design.

02

AI without theatre

We use AI where it creates a measurable advantage, not where it merely makes the proposal sound modern.

03

Built to stay useful

Maintainable systems, clear ownership, and room to evolve after the first release.

Capabilities

From an idea on a whiteboard to a system running in production.

One engineering partner across applications, integrations, automation, and infrastructure.

01

Software platforms

Custom web applications, internal tools, business portals, dashboards, and workflow systems shaped around your operation.

Web appsBusiness systemsProduct engineering
02

AI solutions as a service

Purpose-built assistants, document intelligence, knowledge retrieval, voice workflows, and AI features delivered as usable services.

LLM applicationsRAGAutomation
03

API & system integration

Connect the tools you already use. We integrate third-party services, internal platforms, data sources, and AI APIs without creating another silo.

REST APIsPaymentsEnterprise systems
04

Cloud & platform engineering

Cloud architecture, container platforms, CI/CD, GitOps, monitoring, and automation that make software easier to operate.

KubernetesDevOpsObservability

Applied AI

Not every business needs another chatbot.

Sometimes the best AI solution is a document workflow. Sometimes it is a private assistant, a smarter search layer, an API integration, or an automated decision step inside an existing product.

We start with the friction, then choose the model, architecture, and interface that remove it.

Tell us where work gets stuck ↗
01

Discover

Find a high-value workflow worth improving.

02

Connect

Bring together your data, tools, and existing processes.

03

Engineer

Build the service with the right model and guardrails.

04

Operate

Deploy, observe, evaluate, and improve it in production.

Deep engineering

We understand the infrastructure behind AI—not only the application in front of it.

GPU

AI infrastructure

Architecture and operations for GPU-enabled, containerized, and distributed AI environments—from workload scheduling to model serving and observability.

  • GPU & accelerated workloads
  • Kubernetes platforms
  • Model deployment & serving
  • Performance and reliability
HPC

Scientific computing

Computing environments for simulation, research, analytics, and data-intensive workloads.

  • Slurm environments
  • Cluster automation
  • Benchmarking
  • Research workflows

“The hard part is rarely making the demo work. It is making the system dependable when real people rely on it.”

Our engineering principle

What we can build

Useful systems, not artificial case studies.

Examples of the problems we are equipped to solve—without pretending they are client work.

AI-powered internal assistantsClinic & operations platformsDocument intelligence systemsEnterprise dashboardsWorkflow automationPrivate AI deploymentsResearch computing platformsAPI-connected business portals

How we work

Small steps. Clear decisions. No mystery.

We reduce uncertainty early, keep the work visible, and build in stages that can be tested against the real objective.

01

Understand the problem

Users, constraints, existing systems, risks, and what success should look like.

02

Design the path

Scope, architecture, milestones, and the decisions that matter before development starts.

03

Build and validate

Working increments, frequent feedback, and technical quality that does not wait until the end.

04

Launch and improve

Deployment, documentation, handover, support, and a practical next iteration.

Start somewhere

Have a technical challenge?

Send us the problem—even if the solution is not clear yet. That is usually the interesting part.

info@ofoqx.com ↗

Software · AI · Infrastructure