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.
Point an anomaly detector at demand forecasting, and let people review output instead of producing it. Aimed at public safety department heads, finding what the inspector would find, first.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety department heads, finding what the inspector would find, first.
Knowledge capture handled by a voice agent, with a human signing rather than writing. Aimed at public safety department heads, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at public safety department heads, so the work stops following people home.
A forecasting model that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at public safety ops teams, proving value before anyone signs anything.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes vendor management. Aimed at public safety ops teams, unbundling the one module people actually use.
An anomaly detector that handles renewal management end to end and hands a human the exceptions rather than the queue. Aimed at public safety ops teams, unbundling the one module people actually use.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety ops teams, taking the phone queue off a human entirely.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at public safety ops teams, at a tenth of what the enterprise suite charges.
A narrow anomaly detector scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, closing the loop while everyone is asleep.
A narrow document parser scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, proving value before anyone signs anything.
A document parser that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at public safety compliance leads, finding what the inspector would find, first.
A narrow retrieval engine scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at public safety compliance leads, starting from data the business already produces.
A long-context reviewer that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at public safety compliance leads, replacing the spreadsheet that currently holds it together.
Warranty & returns handled by a classifier, with a human signing rather than writing. Aimed at public safety compliance leads, proving value before anyone signs anything.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at recruiting agency owners, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at recruiting recruiters, at a tenth of what the enterprise suite charges.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at recruiting recruiters, finding what the inspector would find, first.
A narrow autonomous agent scoped to lead qualification alone — no platform, no migration, no six-month rollout. Aimed at staffing agency owners, going after the low-value tail everyone else skips.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at staffing agency 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 staffing agency owners, catching the error before it becomes a change order.
A geospatial model that sits beside the existing system, reads what it already produces, and closes site selection. Aimed at staffing agency owners, holding service constant on a smaller team.
A vision model that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at staffing schedulers, proving value before anyone signs anything.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at staffing ops teams, catching the error before it becomes a change order.