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.
A document parser that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at healthcare department heads, built for one person, not a department.
Point a classifier at customer support, and let people review output instead of producing it. Aimed at healthcare department heads, holding service constant on a smaller team.
Invoicing handled by a document parser, with a human signing rather than writing. Aimed at healthcare department heads, holding service constant on a smaller team.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes inventory planning. Aimed at healthcare department heads, going after the low-value tail everyone else skips.
Inventory planning handled by an anomaly detector, with a human signing rather than writing. Aimed at healthcare department heads, catching the error before it becomes a change order.
Point a document parser at grant & funding tracking, and let people review output instead of producing it. Aimed at healthcare department heads, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at dental practice owners, holding service constant on a smaller team.
Point an anomaly detector at quality control, and let people review output instead of producing it. Aimed at dental practice owners, catching the error before it becomes a change order.
Proposal writing handled by a long-context reviewer, with a human signing rather than writing. Aimed at dental practice owners, proving value before anyone signs anything.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at dental practice owners, taking the phone queue off a human entirely.
Point an anomaly detector at inventory planning, and let people review output instead of producing it. Aimed at dental practice owners, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, writing down what only one person knows.
Compliance audit handled by a document parser, with a human signing rather than writing. Aimed at dental practice owners, at a tenth of what the enterprise suite charges.
Permit & licence tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at dental practice owners, proving value before anyone signs anything.
Point an anomaly detector at permit & licence tracking, and let people review output instead of producing it. Aimed at dental practice owners, replacing the spreadsheet that currently holds it together.
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 narrow long-context reviewer scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, unbundling the one module people actually use.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at dental practice owners, charging only when it actually works.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at dental practice owners, closing the loop while everyone is asleep.
A forecasting model that handles demand forecasting end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, surfacing the exposure nobody has priced.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, taking the phone queue off a human entirely.
A narrow classifier scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, finding what the inspector would find, first.
Point an anomaly detector at vendor management, and let people review output instead of producing it. Aimed at dental practice owners, finding what the inspector would find, first.