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Odoonic

Odoonic — software studio, Islamabad

Software,engineered.

AI solutions, Odoo ERP and websites — designed, built and looked after by one senior team.

One studio. Four cores.

Every Odoonic project runs on the same four disciplines. Use one — or let them work together.

Core 01 — AI solutions

AI that does real work.

Assistants that answer from your own documents, agents that take orders on WhatsApp, and vision models that read what cameras see. Built for production — or fully offline on your own hardware.

Core 02 — Odoo ERP

Odoo, set up right.

From first install to custom modules and version upgrades. We configure the apps you need, connect the tools you already use, and leave your team trained and confident.

Core 03 — Web development

Websites people remember.

Fast, accessible sites and web apps with craft in the details — from a sharp landing page to a SaaS MVP, with interactive 3D where it earns its place.

Core 04 — Website care

Kept fast, secure and current.

Monthly care plans so nothing drifts: we watch uptime, patch and update, back everything up, and make the small edits you'd otherwise put off.

Better together.

An Odoo rollout with AI built in. A website that feeds your CRM. A care plan that keeps all of it healthy.

Odoonic is a small studio of engineers. We build AI that does real work, set Odoo up the right way and design websites people remember — then we stay to keep it all running.

Private AI

192GB

of VRAM in our own lab — the machine we use to size, test and tune private AI before it runs on yours.

Your data never leaves your servers.

For finance, health and government work we deploy open-weight models on hardware you control — sized, quantised and tested on the same kind of machine we run ourselves.

GPUs
2192 GB VRAM combined
Models
Open-weightDeepSeek-R1 · Kimi K2 · Llama
Runtime
llama.cppOllama · GGUF quantisation
Network
OfflineNothing leaves the building

Selected work

Built, shipped, still running.

Client work, open source and our own infrastructure — each one in use today.

Assalam o alaikum — 2 chicken karahi aur 6 naan bhej dein
▶0:07

Order confirmed

2 × Chicken Karahi · 6 × Naan

Sent to the kitchen. Shukriya!

01 / 04In production

AI agents

WhatsApp Ordering Bot

Customers order by chat or voice note — in Roman Urdu — and confirmed orders post straight to the shop's order system. One deployment serves many shops.

  • WhatsApp Cloud API
  • LLM
  • Speech-to-text
  • Python
  • REST
# offline · 2 GPUs · 192 GB VRAM
$ llama-server -m deepseek-r1.gguf \
    --n-cpu-moe 20 -c 32768
model loaded ✓
listening on 127.0.0.1:8080
egress: none — data stays on-prem
04 / 04Internal

AI infrastructure

Private LLM infrastructure

DeepSeek-R1 and Kimi K2–class models running fully offline on a dual-GPU, 192 GB VRAM machine — the setup we use to size private AI for clients.

  • llama.cpp
  • Ollama
  • GGUF
  • MoE offloading

How we work

A working demo, every week.

No long silences and no surprises at launch — you see the thing being built.

  1. 01

    Discover

    One call and a written brief: goals, current systems, constraints, budget.

  2. 02

    Design

    Architecture, flows and visual direction you can react to before we build.

  3. 03

    Build

    Short cycles with a working demo every week. Progress you can click, not status reports.

  4. 04

    Launch

    Data migration, training and a calm go-live with monitoring switched on.

  5. 05

    Care

    Updates, backups, fixes and improvements on a monthly plan.

The studio

Small on purpose. Senior by default.

Run from Islamabad by the people who write the code. We take on a few projects at a time, so each one gets both of us.

Muhammad Soban Hameed

Co-founder · AI engineering

LLM apps and agents, computer vision with YOLO, Odoo AI modules, FastAPI services.

Syed Hasnain

Co-founder · AI/ML & full-stack

Machine learning, React and Next.js front ends, cloud on AWS and Azure, mobile.

01

One team, build to care

The people who build your system are the people who look after it. No hand-offs, no lost context.

02

AI we actually run

Large models run on our own 192 GB VRAM machine, so we know what private AI costs, how fast it is and where it breaks.

03

Straight to the engineers

You talk to the founders doing the work — on a call or on WhatsApp — not to an account manager.

Start a project

Let's build what's next.

A short call is usually enough to tell whether we're the right fit — and what it would take.