Onboarded AI
AI given the structured business context it needs
to get the right answer, not just a good one
The Problem
AI has a knowledge problem.
The next model won't fix it.
Ask AI to handle a real business task — classify an expense, calculate a tax obligation, reconcile a supplier account — and it will confidently give you the wrong answer.
Not because it isn't smart enough. Because it doesn't know how your business works.
Think of hiring a brilliant new employee without onboarding them. They don't know that you split costs across three departments, that the same supplier invoices you under two different names, or that a delivery needs to be reported by weight, not by dollar value.
AI has the same problem. And a smarter model is just a smarter new hire who still hasn't been onboarded.
The fix exists: give AI a structured model of how your business actually works. But building one costs millions, takes 6–12 months, requires a dedicated team — and goes stale within weeks.
Only the Fortune 500 can afford it. And even they can't keep it current.
The Solution
We automatically build a working model of your business.
The same architecture that powers the platform captures the knowledge. Our platform turns your existing business operations into a structured, living model of how your organisation actually works — no consultants, no million-dollar projects, no manual configuration that goes stale within weeks.
Capture
Business experts work naturally in the platform — no coding required
Structure
Auto-converts to live knowledge graphs in real-time — always current, always validated
Apply
AI grounded in your context — accurate, trusted, organisation-aware
AI given this context is what we call Onboarded AI — the kind of AI knowledge that used to cost millions, built automatically as a by-product of daily operations.
Strategy
Three phases to scale.
Each phase builds on the Onboarded AI context captured before it — creating compounding value at every stage.
Phase 1 — Now
Semantic Prompting
Structured context improves AI accuracy in production today. SaaS applications built on the platform generate revenue while every user interaction captures organisational knowledge.
Phase 2 — Next
Organisation-Specific Fine-Tuning
Client knowledge baked directly into the model. AI that doesn't just receive context — it has internalised how each organisation works.
Phase 3 — Future
Semantics-First AI
Purpose-built AI, not general-purpose models adapted after the fact. Technology licensing to AI companies building the next generation of business applications.
Cloud meant you no longer needed to build your own data centre.
Onboarded AI means you no longer need to build your own knowledge graph.
Our Values
Superpowers are for heroes, not villains.
Social responsibility is at the core of our values.
As individuals we believe in the power of "voting with one's wallet": everyone, every day, can make a difference by deliberately channelling their purchases and support towards people, businesses and, even, countries that share their values. Extending this idea to the way we conduct our business is only natural.
Artificial intelligence is a superpower. Pyxta is a superpower. We are proud that our partners and clients care deeply about fairness, equality, integration, sustainability, the environment, and transparency. We will never deploy our technology for organisations that don't.
We are always looking for new ways to uphold our core values, within our company and in the broader community. Got ideas? Let us know.
Contact
Let's talk.
Whether you're exploring how Onboarded AI could work for your organisation, or interested in our technology for licensing or partnership, we'd welcome the conversation.
pyxta pty ltd
PO Box 3046
Brisbane 4000 QLD
Australia
hello@pyxta.com
Acknowledgement of Country
We recognise the First Peoples of this nation and their ongoing connection to culture and country. We acknowledge First Nations Peoples as the Traditional Owners, Custodians and Lore Keepers of the world's oldest living culture and pay respects to their Elders past, present and emerging.
