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.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at food production ops teams, finding what the inspector would find, first.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at retail merchandisers, built for one person, not a department.
Point an anomaly detector at reconciliation, and let people review output instead of producing it. Aimed at automotive service managers, charging only when it actually works.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at automotive service managers, built for one person, not a department.
Inspection handled by a document parser, with a human signing rather than writing. Aimed at automotive owner-operators, starting from data the business already produces.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at automotive parts managers, built for one person, not a department.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at auto repair owner-operators, surfacing the exposure nobody has priced.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at auto repair technicians, taking the phone queue off a human entirely.
A narrow document parser scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at auto repair technicians, replacing the spreadsheet that currently holds it together.
A narrow anomaly detector scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at equipment rental owner-operators, holding service constant on a smaller team.
A narrow document parser scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at equipment rental ops teams, finding what the inspector would find, first.
Point a vision model at compliance audit, and let people review output instead of producing it. Aimed at equipment rental ops teams, at a tenth of what the enterprise suite charges.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at equipment rental ops teams, taking the phone queue off a human entirely.
Contract analysis handled by a document parser, with a human signing rather than writing. Aimed at education registrars, surfacing the exposure nobody has priced.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at education program directors, closing the loop while everyone is asleep.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at education ops teams, replacing the spreadsheet that currently holds it together.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at education ops teams, built for one person, not a department.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at trade schools registrars, taking the phone queue off a human entirely.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at childcare owner-operators, finding what the inspector would find, first.
Proposal writing handled by a long-context reviewer, with a human signing rather than writing. Aimed at childcare owner-operators, taking the phone queue off a human entirely.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at childcare program directors, replacing the spreadsheet that currently holds it together.
An anomaly detector that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at childcare program directors, unbundling the one module people actually use.
A reconciliation engine that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at government program directors, 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 government ops teams, surfacing the exposure nobody has priced.