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.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at healthcare department heads, catching the error before it becomes a change order.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at healthcare department heads, holding service constant on a smaller team.
Point a document parser at quoting & estimating, and let people review output instead of producing it. Aimed at healthcare department heads, closing the loop while everyone is asleep.
Point a workflow engine at quoting & estimating, and let people review output instead of producing it. Aimed at healthcare department heads, taking the phone queue off a human entirely.
A narrow anomaly detector scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
Point a vision model at inspection, and let people review output instead of producing it. Aimed at healthcare department heads, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at healthcare department heads, starting from data the business already produces.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, so the work stops following people home.
A reconciliation engine that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, closing the loop while everyone is asleep.
A document parser that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, replacing the spreadsheet that currently holds it together.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at dental practice owners, finding what the inspector would find, first.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at dental practice owners, starting from data the business already produces.
Compliance audit handled by a vision model, with a human signing rather than writing. Aimed at dental practice owners, built for one person, not a department.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes permit & licence tracking. Aimed at dental practice owners, taking the phone queue off a human entirely.
Point an anomaly detector at permit & licence tracking, and let people review output instead of producing it. Aimed at dental practice owners, closing the loop while everyone is asleep.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, holding service constant on a smaller team.
Quality control handled by a vision model, with a human signing rather than writing. Aimed at dental practice owners, taking the phone queue off a human entirely.
A narrow document parser scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, at a tenth of what the enterprise suite charges.
Contract analysis handled by a document parser, with a human signing rather than writing. Aimed at dental practice owners, closing the loop while everyone is asleep.
A narrow vision model scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, holding service constant on a smaller team.
A retrieval engine that handles proposal writing 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 retrieval engine scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, so the work stops following people home.
A narrow voice agent scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, surfacing the exposure nobody has priced.
Point a document parser at incident reporting, and let people review output instead of producing it. Aimed at dental practice owners, so the work stops following people home.