Building in MelbourneMEL --:--
AI venture formation engine · In development

Ignite transforms market signals, emerging technologies, customer problems and research into structured venture opportunities.

Conceptual interface

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.

ignite / opportunity-generation / run-014Conceptual interface · early product
Venture conceptsUnvalidated — AI inference only
Workflow memory for tradesHypothesis
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.
Compliance co-pilot for clinicsHypothesis
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.
Quote-to-cash for wholesalersHypothesis
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.
Rostering for community careHypothesis
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.

Capabilities

Ignite widens the search and structures the output, so that people spend their judgment on the right questions.

01

Opportunity discovery

Scan markets, technologies and research for shifts that create room for a new company.

02

Problem identification

Cluster customer pain into problems specific enough to build against.

03

Venture concept generation

Draft multiple structured concepts per problem, not one favourite idea.

04

ICP development

Define who the first customer is, precisely enough to go and find them.

05

Business model exploration

Compare how each concept could make money, and what has to be true for it to work.

06

Competitive mapping

Map incumbents, adjacent products and substitutes before we fall in love.

07

Validation hypothesis creation

End every concept with the assumption that must be tested first.

Where it fits

01 · Ignite

“What could we build?”

02 · Lattice

“Should we build it?”

03 · Real world

“What does reality say?”

Ignite is a proprietary Manuka system in development. It is used inside the studio and is not a public product.