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Use what earns its place
We reach for new technology, AI included, where it measurably helps the people using the software. When it does not, we say so and build the simpler thing.
About TabnCode
We build AI products and the business systems behind them: custom ERP and CRM, SaaS platforms, and integrations with the tools you already run, NetSuite included. Faster with AI, owned by senior engineers.
Our story
TabnCode began as a small startup turning ideas into websites and apps. Over 10+ years the work moved down the stack: enterprise applications, custom ERP and CRM, integrations with the tools a business already depends on (NetSuite among them), and now AI products and agents, which is where most of our new work happens.
Along the way we built our own products: SocialHub, Inventory and Eventdeck. Running software of our own means we live with the same trade-offs our clients do: uptime, support, roadmaps and the monthly bill.
Today we are a studio based in Dubai, working with clients across 6+ countries. Partnering with us means one dedicated team that learns your business goals and carries the work from concept to production.
Our mission has not changed: help businesses reach their goals with software that works.
Principles
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We reach for new technology, AI included, where it measurably helps the people using the software. When it does not, we say so and build the simpler thing.
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You see the board, the repository and the build from week one. Estimates come in plain language, and so do the reasons when something changes.
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Inclusive, keyboard-friendly interfaces and performance budgets are part of the definition of done, not a phase at the end.
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The best results come from mixing your domain knowledge with our engineering. Your people join our demos and decisions; nothing is thrown over a wall.
How we build with AI
AI is a tool in our hands, not the product we sell. This is where AI shows up in our process, the guardrails around it, and what you get because of it.
01 · Design
AI helps us read faster and sketch wider. People decide what gets built.
02 · Build
AI pair-programming takes the repetitive work so engineers spend their time on architecture and edge cases.
03 · Operate
After launch, AI helps us notice problems sooner and keep knowledge current.
The rules that keep AI-assisted work safe to ship.
AI features are measured against test sets drawn from real cases. A regression blocks the release, the same way a failing test does.
AI-assisted code meets the same bar as any other code: reviewed by an engineer, tested, and merged only when it is understood.
Nothing reaches production or your customers without a named person approving it.
We agree up front which tools may see which data, and keep secrets and personal data out of prompts.
The practical difference for your project.
Shorter loops from idea to working software: prototypes before specs and small, frequent releases you can try.
Architecture notes, API references and runbooks written as we build, so the next engineer is not starting from zero.
The code, repositories, cloud accounts, prompts and eval sets are yours from day one. No lock-in.
Next step
Tell us about the system, the product or the process you want to change. We reply within 24 hours.