AI that turns Australian research into revenue in weeks, not years
Australian innovators waste years and miss market opportunities because outdated frameworks and broken commercialisation systems prevent research from reaching the marketplace.
RampForge uses AI to analyze research papers, datasets, and inventions, then generates complete commercialization roadmaps, investor pitches, and grant applications tailored to Australian regulations. It automatically matches technologies with relevant industry partners, VCs, and licensees using a proprietary database of past Australian success cases.
Australian researchers, university tech transfer offices, and deeptech entrepreneurs
Exclusively trained on Australian IP law, university policies, CRC outcomes, and government funding data — delivering hyper-localized recommendations no global tool can match.
supportive
Upload papers, theses or datasets for AI to extract commercial potential, TRL level and market applications
Creates step-by-step Australian-specific commercialization plan with timelines and responsible parties
Matches research with companies, investors and licensees using vector similarity on 10,000+ Australian deals
Identifies open grants (ARC, CRC, AusIndustry) and auto-fills 70% of application fields
Generates investor-ready pitch decks using successful Australian spin-out templates
Checks plans against current IP Australia, export controls and university policies
Visual Kanban and milestone tracking with automated reminders
Australian NDAs, licensing templates and term sheets with one-click customization
See how your project compares to similar past Australian commercializations
Generate first drafts of license agreements using AI
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| university | text | Yes |
| role | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| title | text | No |
| status | text | No |
| trl_level | int | Yes |
| embedding | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| content | text | No |
| generated_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| partner_name | text | No |
| match_score | int | No |
| status | text | No |
/api/projectsList user's research projects
/api/projectsCreate new project with file upload
/api/analyzeTrigger AI analysis and roadmap generation
/api/matchesRetrieve partner matches for a project
/api/grantsSearch relevant Australian grants
2 analyses per month
None
Up to 10 users per team
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 85 | 12% | $357 | $4,284 |
| Month 6 | 720 | 19% | $4,788 | $57,456 |
AI that knows every rule, every successful pathway, and every active buyer in the Australian innovation ecosystem.
Contact Tech Transfer Offices at University of Melbourne, UNSW and University of Queensland via warm LinkedIn intros offering 6 months free Team seats in exchange for case studies and referrals to their top 5 researchers each. Attend the 2025 Research Commercialisation Conference with a booth and live demos.
Large global tech database
US-centric, outdated interface, no AI
Australia-first AI with local regulatory intelligence
Strong reporting tools
Expensive, complex for individual researchers
Self-serve micro-SaaS experience at $35/month
Proprietary dataset of 4,000+ Australian research commercialisation outcomes that continuously improves matching and roadmap accuracy. Strong university relationships create switching costs.
The Australian Government’s $15.6 billion National Reconstruction Fund and 2030 university commercialisation targets have created urgent demand for practical tools that actually accelerate deals.
Liability if AI suggestions lead to failed grants or IP mistakes
Prominent disclaimers everywhere + partner with leading IP law firms for paid 'human review' add-on
Academic skepticism toward AI tools
Start with early-adopter universities and publish transparent case studies
Difficulty acquiring initial Australian dataset
Partner with one TTO for anonymized historical data in exchange for free access
Success: 80% express willingness to pay $35+/mo for the described solution
Success: 150 waitlist signups in 14 days
Success: NPS above 45 and 25% convert to paid
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