MeldMatch

Find your perfect Australian deeptech commercialization partner

Score: 7.8/10AustraliaHard BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Australian innovators waste years and miss market opportunities because outdated frameworks and broken commercialisation systems prevent research from reaching the marketplace.

Solution

MeldMatch creates rich profiles of both research technologies and industry needs, then uses AI + vector search to deliver high-quality matches with warm introduction scripts, shared virtual deal rooms, and success probability scores based on 15 years of Australian spin-out data.

Target Audience

Australian researchers, university tech transfer offices, and deeptech entrepreneurs

Differentiator

Combines technology matching with 'values alignment' and 'execution capability' scoring specifically calibrated to Australian industries (mining, agtech, renewable energy, defence).

Brand Voice

friendly

Features

Technology Profiling

must-have40h

AI creates rich structured profiles from research papers and interviews

Industry Challenge Database

must-have35h

Companies post specific technical problems they want solved

AI Match Engine

must-have60h

Combines semantic search, TRL alignment and values scoring

Virtual Deal Rooms

must-have45h

Secure spaces to share data after mutual acceptance

Warm Intro Generator

must-have30h

Creates personalized outreach messages based on mutual interests

Success Probability Score

must-have35h

Predicts likelihood of successful partnership using historical data

NDA Automation

nice-to-have25h

One-click mutual NDAs with Australian templates

Match Insights Dashboard

nice-to-have30h

Analytics on which sectors are actively seeking what technologies

Relationship CRM

nice-to-have35h

Track all outreach and partnership discussions

Total Build Time: 335 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
entity_typetextNo
organisationtextYes
created_attimestampNo

Relationships:

  • profiles.user_id -> users.id
  • matches.initiator_id -> users.id

profiles

ColumnTypeNullable
iduuidNo
user_iduuidNo
profile_typetextNo
descriptiontextNo
embeddingtextYes
values_alignmenttextYes

matches

ColumnTypeNullable
iduuidNo
initiator_iduuidNo
target_iduuidNo
scoreintNo
statustextNo
created_attimestampNo

deal_rooms

ColumnTypeNullable
iduuidNo
match_iduuidNo
access_granted_attimestampYes

API Endpoints

POST
/api/profiles

Create or update technology/industry profile

🔒 Auth Required
GET
/api/matches

Get curated matches for current user

🔒 Auth Required
POST
/api/matches/:id/intro

Request warm introduction

🔒 Auth Required
POST
/api/dealroom/:id/upload

Upload document to secure deal room

🔒 Auth Required

Tech Stack

Frontend
SvelteKit + Tailwind + shadcn-svelte
Backend
SvelteKit server routes
Database
PostgreSQL with pgvector
Auth
Clerk
Payments
Stripe
Hosting
Railway
Additional Tools
OpenAIResendUpstash Redis

Build Timeline

Week 1: Auth, profiles and matching foundation

45h
  • SvelteKit app with Clerk
  • Profile creation flow
  • Initial vector pipeline

Week 2: Core matching engine

50h
  • Embedding generation service
  • Match scoring algorithm
  • UI for match browsing

Week 3: Deal rooms and collaboration

55h
  • Secure file sharing rooms
  • NDA automation
  • Introduction request flow

Week 4: Polish, billing and launch assets

35h
  • Stripe subscription system
  • Landing page with matching demo
  • Onboarding sequences
Total Timeline: 4 weeks • 260 hours

Pricing Tiers

Explorer

$0/mo

Limited visibility

  • Create profile
  • View 3 matches/month
  • Public challenges

Connector

$35/mo

None

  • Unlimited matches
  • Deal rooms
  • Warm intros
  • Success scoring

Corporate

$149/mo

Up to 5 users

  • Everything in Connector
  • Post challenges
  • Team access
  • Priority matching
  • Analytics

Revenue Projections

MonthUsersConversionMRRARR
Month 111014%$539$6,468
Month 685021%$6,237$74,844

Unit Economics

$49
CAC
$780
LTV
7%
Churn
81%
Margin
LTV:CAC Ratio: 15.9xExcellent!

Landing Page Copy

Stop cold emailing. Get matched with the right Australian commercialisation partners.

AI matchmaking for deeptech that actually understands Australian industry needs, culture and incentives.

Feature Highlights

Rich AI profiling
High-signal matches
Virtual deal rooms
Warm intro scripts
Success probability scoring

Social Proof (Placeholders)

"'Found our perfect manufacturing partner in Perth within 9 days.' — Dr. Elena Petrova, CSIRO"
"'The values alignment score is surprisingly accurate.' — Innovation Director, Fortescue"

First Three Customers

Seed initial profiles by offering free Connector accounts to researchers who won recent Trailblazer or CURE grants. Approach 15 medium-sized Australian corporates in agtech, mining and defence with free Corporate trials in exchange for challenge briefs.

Launch Channels

ProductHuntLinkedIn (DeepTech Australia, Mining Innovation groups)StartupAUSCSIRO Innovate newsletterr/deeptech

SEO Keywords

deeptech matchmaking australiaresearch industry partnership platformtechnology licensing marketplace australiauniversity industry collaboration toolaustralian spinout partner finder

Competitive Analysis

Membership
Strength

Government backing

Weakness

Manual matching, poor UX

Our Advantage

Fully automated AI matching with deal room infrastructure

ResearchGate

researchgate.net
Free
Strength

Huge researcher network

Weakness

No commercialisation focus or matching intelligence

Our Advantage

Purpose-built for commercial outcomes with Australian context

🏰 Moat Strategy

Two-sided network of researchers and industry partners. The more challenges and technologies are added, the more valuable the matching becomes. Historical outcome data creates improving AI predictions.

⏰ Why Now?

Corporate Australia has record innovation budgets due to the Critical Minerals Strategy and Net Zero targets, creating strong demand for direct university partnerships.

Risks & Mitigation

markethigh severity

Chicken-and-egg problem building both sides

Mitigation

Seed industry side first with corporate pilots, then activate researcher network

technicalmedium severity

Quality of AI matching depends on profile richness

Mitigation

Heavy investment in guided profiling experience and optional 15-minute AI interview

Validation Roadmap

pre-build18 days

Run matching workshops with researchers and industry at two innovation hubs

Success: At least 60% of participants would use a platform that delivered the demonstrated matches

mvp40 days

Manual matching for first 25 participants to test quality

Success: At least 4 successful introductions leading to meetings

Pivot Options

  • Become vertical platform for only critical minerals commercialisation
  • Add full licensing contract automation and escrow

Quick Stats

Build Time
260h
Target MRR (6 mo)
$6,800
Market Size
$24.0M
Features
9
Database Tables
4
API Endpoints
4