Twarx / About
We build AI
that works.
An AI integration and implementation consultancy. We build agentic systems and workflow automation, integrate them into the tools a business already runs, and hold every deployment to measurable utility before it deserves trust.
Our mission
"Applied AI research that turns domain knowledge into production-ready intelligence — measurable from day one."
The AI industry has spent years optimising for capability without accountability. We took the opposite path. Before we write a line of training code, we understand the domain. Before we deploy, we define the metric. After deployment, we measure.
That discipline is not a constraint — it is our product. Clients work with us because the models we build do not just score well in tests. They work in the real world.
Core values
The principles we work by
Utility first
Every model we ship must prove its value against real-world metrics before it earns a production deployment. We reject vanity benchmarks.
Reality checks, not hype
We research what current models can actually do and say so plainly — including when AI is the wrong tool. An honest answer beats an impressive demo.
Measurable outcomes
If we cannot define and instrument a success metric before we start, we do not start. AI that cannot be measured cannot be trusted.
Long-term thinking
We build systems meant to operate for a decade, not to impress in a 15-minute demo. That discipline shapes every architectural decision we make.
What we do
Four disciplines, one studio
Model Research
Reality checks
We test what current models can and cannot do, so every recommendation is grounded in evidence instead of marketing.
Agents & Automation
For the community
We build and maintain the ready-to-run AI agents and n8n workflows anyone can import and put to work today.
SLM Training
Custom models
We design and train Small Language Models on your category and data — small, fast, cheaper to run, and fully auditable.
Local & RAG
You own it
We stand up private local SLM and RAG systems on your own infrastructure and hand them over with docs and training.
How we work
What we stand for
We test current models honestly before recommending anything — including telling you when AI is the wrong tool for the job.
We publish ready-to-run agents and automation workflows so genuinely useful AI is not locked behind enterprise budgets.
We train custom Small Language Models and stand up local SLM + RAG systems that clients fully own and run themselves.
Every engagement has a success metric agreed up front, and we report against it. No vanity numbers, no moving goalposts.
Ready to build something that works?
Tell us your domain problem. We will tell you if AI can solve it — and exactly how we would measure success.