We Enable Every Organisation to Create Their Own AI Context
Turning daily operations into live semantic knowledge
that makes AI truly work for your organisation
AI Has a Knowledge Problem. The Next Model Release Won't Fix It.
Ask AI to handle a real business task — classify an expense, calculate a tax obligation, report your emissions — 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 marketing costs across three departments, that the same supplier invoices you under two different names, or that a delivery from your packaging vendor 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, and goes stale within weeks
Only the Fortune 500 can afford it. And even they can't keep it current. We built a way to eliminate that cost entirely.
We Automatically Build a Working Model of Your Business
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.
1. Capture
Business experts work naturally in our platform — no coding required
2. Structure
Auto-converts to live knowledge graphs in real-time — always current, always validated
3. Apply
AI grounded in your context — accurate, trusted, organisation-aware
Every organisation gets the kind of AI knowledge that used to cost millions built automatically as a by-product of daily operations.
The Technology Is Proven. The Question Now Is How to Scale It.
Patent claims deemed novel
PCT application filed
ASIC/BRII grant
Government-funded pilot
Paid deployment
With global accounting firm
The technology works. It applies to any industry — which makes where we commit our resources the decision that matters most right now. We are ready to scale. We have a phased strategy and a specific entry point in mind. We want to stress-test both before we commit.
Our Three-Phase Strategy
This is our current thinking on how to phase the opportunity
Phase 1: Now
Semantic Prompting
Context improves AI accuracy today
$80K+ earned in enterprise pilot
Phase 2: Next
Organisation-Specific Fine-Tuning
Client knowledge baked into the model
6-12 months
Phase 3: Future
Semantics-First AI
Purpose-built AI, not general-purpose models adapted after the fact
12-24 months
Each phase builds on the trove of semantic data captured before it.
How Each Phase Monetises
Phase 1: Applications
$200-500/month
SMB SaaS Solutions
e.g. Carbon Reporting, Invoice Intelligence
Phase 2: Organisation-Specific Models
$10-25K/model
AI fine-tuned on each client's own semantic context
Any industry, any organisation
Phase 3: Technology
$100K-1M+/year
Licensing to AI Companies
Context Harvesting
Patent Portfolio
Immediate focus on Phases 1-2 while building toward Phase 3 licensing
The Democratisation Opportunity
Xero subscribers in Australia — dominating cloud accounting with ~60-80% market share
10-20% will need carbon reporting within 3-5 years as supply chain compliance demands defensible emissions data
Near-term SAM: $480M-$720M/year in Australia at $200/month. NZ adds immediate expansion.
Of organisations can afford traditional knowledge graphs
Market dominated by Fortune 500
Long-term global opportunity for accessible semantic AI
~47M SMBs (~9M employer businesses) in English-speaking developed economies
$5.5-11B on employer businesses, up to $18-30B across broader base, at 10% adoption and $500/month average. Market growing at 21-24% CAGR.
We're not competing for the 1% who can afford millions. We're enabling the 99% who can't.
Cloud meant you no longer needed to build your own data centre. We mean you no longer need to build your own knowledge graph.
Phase 1 Entry Point: The Case for Carbon Reporting
The Industry Problem
Competitors calculate emissions from dollar spend — because extracting actual quantities is too expensive
Buy the same quantity at a lower price? Your emissions drop. Peer-reviewed research shows spend-based estimates can differ from actual measurements by a factor of two or more
The GHG Protocol ranks spend-based as the least specific method — the last-resort approach. Regulators are tightening requirements. Yet nearly all SMB tools default to it for Scope 3
Enterprise supply chains are creating commercial pressure for reliable carbon data from SMB suppliers
Our Edge
We extract actual quantities purchased from invoices already in the accounting software — no additional uploads, no extra workflow
Only an estimated 5-15% of SMB transactions have quantity data in the accounting system. The attached invoices hold the detail that every other tool ignores
Where attachments are missing, we prompt clients to attach more invoices in the accounting software — not upload them to yet another system. Better attachment rates mean better tax compliance and better carbon accuracy in one hit
$200/month — accessible to SMBs
Live product — Xero connection to carbon report in under 60 seconds
SMB pilots and government agency discussions underway
Carbon reporting is our proposed entry point because it combines three things: a regulatory wave creating upcoming demand, a clear accuracy gap our technology solves, and every user — even free-tier — generates the semantic data that powers Phases 2 and 3
Founder-Led Team
Founder & CEO
15 years building global business reporting infrastructure
Identified the real barrier to AI in business
Built a patent-pending semantic AI platform to solve it
AI Consultant
Deep learning expertise
LLM optimisation specialist
Business Development
Enterprise sales experience
Serial technical startup founder
Domain expertise at the core, building the right team to scale
The Future We're Building
A world where every organisation
can harness AI that truly understands their business
We've shared our strategy and our proposed entry point. Here's what we want to work through:
The foundation is built. We need the right people around the table to build the business.
hello@beljay.com