- Problem
- Job knowledge lives in texts, calls and people's heads.
- Customer
- Owner-operators of 5–40 person trade businesses.
- Solution
- An assistant that turns job activity into structured records.
- AI advantage
- Unstructured input to structured operations data.
- Model
- Per-seat subscription.
- Why now
- Voice and document models are now reliable enough.
- Test
- Owners will forward a week of job messages to see the output.
Ignite transforms market signals, emerging technologies, customer problems and research into structured venture opportunities.
An early view of an Ignite run. Every concept ends with the hypothesis that has to be tested first — and every output is labelled as inference until reality says otherwise.
- Problem
- Accreditation evidence is gathered manually each cycle.
- Customer
- Practice managers at allied health clinics.
- Solution
- Continuous evidence capture mapped to standards.
- AI advantage
- Document classification against changing standards.
- Model
- Annual licence per site.
- Why now
- Standards are digitised; clinics are short-staffed.
- Test
- Practice managers will pay for a pre-audit gap report.
- Problem
- Quotes are rebuilt by hand from emails and PDFs.
- Customer
- Sales ops at mid-sized distributors.
- Solution
- Draft quotes generated from inbound requests.
- AI advantage
- Extraction and pricing logic from messy requests.
- Model
- Platform fee plus usage.
- Why now
- ERP APIs have opened up; margins are under pressure.
- Test
- Sales ops will trial on one inbox for two weeks.
- Problem
- Rosters break daily and are fixed by phone.
- Customer
- Coordinators at community care providers.
- Solution
- Real-time roster repair with worker preferences.
- AI advantage
- Constraint solving with natural-language requests.
- Model
- Per-client-served pricing.
- Why now
- Demand is rising faster than coordinator capacity.
- Test
- Coordinators will accept suggested fixes over a week.
Conceptual interface. Shown to explain how the system works — not a live product.
Ignite widens the search and structures the output, so that people spend their judgment on the right questions.
Opportunity discovery
Scan markets, technologies and research for shifts that create room for a new company.
Problem identification
Cluster customer pain into problems specific enough to build against.
Venture concept generation
Draft multiple structured concepts per problem, not one favourite idea.
ICP development
Define who the first customer is, precisely enough to go and find them.
Business model exploration
Compare how each concept could make money, and what has to be true for it to work.
Competitive mapping
Map incumbents, adjacent products and substitutes before we fall in love.
Validation hypothesis creation
End every concept with the assumption that must be tested first.
“What could we build?”
“Should we build it?”
“What does reality say?”
Ignite is a proprietary Manuka system in development. It is used inside the studio and is not a public product.