Research Showcase

Insurance Claims Still Take 22 Days.
A $376M Market Is Waiting.

Tractable hit $1B. EvenUp hit $2B. Avallon just came out of YC. They all solve the same thing: insurance claims are still painfully manual. Australia has no local player. I'm building one. I need a co-founder who knows AU insurance.

0d
Avg. claim lifecycle
0%
Time on manual doc review
0%
Data error rate (manual)
0+
Claims per adjuster
22-day avg claim lifecycle $376M AU insurtech market 60% time on manual doc review 35% data inaccuracy from manual input 125+ claims per adjuster Tractable $1B / EvenUp $2B / Avallon YC S25 30.7% CAGR — one of highest in AU tech 22-day avg claim lifecycle $376M AU insurtech market 60% time on manual doc review 35% data inaccuracy from manual input 125+ claims per adjuster Tractable $1B / EvenUp $2B / Avallon YC S25 30.7% CAGR — one of highest in AU tech
The Problem
Adjusters are drowning. Mid-market insurers have nothing.
Enterprise solutions cost $500K+ to implement. Mid-size insurers and TPAs are stuck with fragmented systems, manual triage, and spreadsheet-based workflows. Some are still on FileMaker.
0

Customers Avoid Filing

22% of consumers avoid filing claims because the digital process is too frustrating. The people insurers exist to serve are giving up before they start.

0

Negative Reviews: No Human

41% of negative insurer reviews mention lack of human support during complex claims. The automation that exists is bad automation -- not AI that augments humans.

0

Data Inaccuracy

Up to 35% data inaccuracy from manual input. Adjusters re-keying data from PDFs into claim systems. Skilled humans doing machine work, making machine errors.

"Multiple vendors and disparate reporting systems create fragmentation."
CLM Magazine
"Struggled with disjointed manual processes, scattered data, and no centralized system, spending a third of their day on claim updates and relying on outdated tools like FileMaker."
n2uitive -- IA Firm Case Study
Global Proof
The US and UK already solved this. Billions in value created.
Four companies proved that AI claims processing is not a theory -- it's a proven, funded, revenue-generating category.
$1B
Tractable
UK -- $185M raised
Computer vision that assesses vehicle and property damage from photos. Used by major insurers globally. Australian insurers still use manual assessors.
COMPUTER VISION
$2B
EvenUp
US -- $150M Series E
AI demand letters for personal injury claims. No PI-specific document AI exists in Australia. The entire category is empty.
DEMAND LETTERS
YC S25
Avallon AI
US -- $4.6M seed
AI agents automating claims operations for TPAs and carriers. Just graduated Y Combinator. Proving the model works for mid-market.
CLAIMS AGENTS

Also: FurtherAI (US, $30M, a16z-led) -- AI for underwriting, claims, and compliance workflows in insurance.

The AU Gap
Why none of them are coming to Australia.
Australian insurance regulation creates a moat that US/UK companies won't build for. That's the opportunity.
📋

ICA General Insurance Code

Australia's Insurance Council code creates specific compliance requirements that US AI tools aren't trained on and won't localize for a "small market."

⚖️

AFCA Dispute Resolution

Every AI decision in claims needs an auditable trail that meets AFCA standards. Foreign tools don't even know AFCA exists.

VS
🌎

State-Based Variations

Licensing, workers comp, and motor injury schemes vary by state. NSW, VIC, QLD all different. US tools assume national uniformity.

💰

Mid-Market Ignored

Shift Technology just signed with ICA Australia -- but they're enterprise-priced and foreign. Auto & General, RACQ, CHU, Budget Direct have nothing purpose-built.

Market Size
$376M
AU insurtech market today
$4.2B
Projected by 2034
30.7%
CAGR -- one of highest in AU tech
22/25
Opportunity Score
What I Bring
AI engineering + working insurance document intelligence.
I'm not starting from zero. I've already built production-grade document processing for the insurance industry.

🤖 AI & Document Intelligence

Deep experience in AI/ML engineering, NLP, document extraction, and building production systems that process real-world documents at scale. Not demos -- deployed systems.

TECHNICAL FOUNDER


📋 VerifyReceipt -- Working Proof

Already built a production-grade claims document processing system (38K+ lines of code, 30 processing stages). It reads insurance documents, extracts structured data, and flags inconsistencies. The core technology is proven.

BUILT & DEPLOYED

🎯 Motor Vehicle First

The playbook: start with motor vehicle claims (highest volume, most standardized). MVP reads claim submissions (photos + description), extracts structured data, flags inconsistencies, generates draft assessment. Saves 2-3 hours per claim.

CLEAR WEDGE


🚀 Funding Path Mapped

R&D Tax Incentive eligible (AI/ML R&D). Month 3: Antler or Startmate (insurtech is a priority vertical). Month 6: Reinventure (Westpac-backed). Month 9: Blackbird or AirTree for Series A.

FUNDABLE
What I Need
A co-founder who knows AU insurance from the inside.
I can build the AI. I need someone who's lived the pain, knows the buyers, and understands how claims operations actually work in Australia.
💼

Claims Manager

You've managed claims teams. You know the bottlenecks, the compliance requirements, and why existing tools fail. You have the domain authority to sell to insurers.

🏢

Ex-Insurer / TPA

You've worked at an Australian insurer or third-party administrator. You understand ICA codes, AFCA processes, state variations. You know which mid-size insurers are desperate for this.

💡

Insurance Ops Expert

You've done independent adjusting, loss assessment, or claims consulting. You know what Crawford, McLarens, and Cunningham Lindsey actually need day-to-day.

Interested? Let's talk.

I'm not selling anything. I'm looking for a co-founder or early advisor who wants to build the claims AI layer for Australian insurance. Drop your details and I'll reach out within 24 hours.

Not a sales form. Just a conversation starter.

Got it. I'll be in touch.

Expect to hear from me within 24 hours. Looking forward to the conversation.