AltF Ideas holds 117,264 startup ideas across 61 industries, each scored 0–100 on demand, moat, monetisation, feasibility, timing and open field. The 12,000 highest-scoring have full dossiers with market size, competitor archetypes, risks, and a four-step build path. Sorted by opportunity score, best first.
Inventory planning handled by an optimisation engine, with a human signing rather than writing. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
A narrow voice agent scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, going after the low-value tail everyone else skips.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at dental practice owners, built for one person, not a department.
Point a workflow engine at permit & licence tracking, and let people review output instead of producing it. Aimed at dental practice owners, taking the phone queue off a human entirely.
A document parser that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, unbundling the one module people actually use.
Point an anomaly detector at inventory planning, and let people review output instead of producing it. Aimed at healthcare department heads, taking the phone queue off a human entirely.
Inspection handled by a vision model, with a human signing rather than writing. Aimed at healthcare department heads, built for one person, not a department.
A vision model that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, proving value before anyone signs anything.
Point a voice agent at inspection, and let people review output instead of producing it. Aimed at healthcare department heads, catching the error before it becomes a change order.
A narrow document parser scoped to inspection alone — no platform, no migration, no six-month rollout. Aimed at healthcare department heads, taking the phone queue off a human entirely.
Point a document parser at grant & funding tracking, and let people review output instead of producing it. Aimed at healthcare department heads, catching the error before it becomes a change order.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at healthcare department heads, writing down what only one person knows.
Point a forecasting model at margin monitoring, and let people review output instead of producing it. Aimed at dental practice owners, at a tenth of what the enterprise suite charges.
Point a document parser at claims & appeals, and let people review output instead of producing it. Aimed at dental practice owners, writing down what only one person knows.
Point a classifier at intake & triage, and let people review output instead of producing it. Aimed at dental practice owners, taking the phone queue off a human entirely.
A vision model that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at dental practice owners, built for one person, not a department.
A forecasting model that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at dental practice owners, built for one person, not a department.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at dental practice owners, so the work stops following people home.
A narrow vision model scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, starting from data the business already produces.
A forecasting model that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at dental practice owners, replacing the spreadsheet that currently holds it together.
Contract analysis handled by a long-context reviewer, with a human signing rather than writing. Aimed at dental practice owners, replacing the spreadsheet that currently holds it together.
A narrow voice agent scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, so the work stops following people home.
Point a vision model at field reporting, and let people review output instead of producing it. Aimed at dental practice owners, holding service constant on a smaller team.
A document parser that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at dental practice owners, taking the phone queue off a human entirely.