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.
Reconciliation handled by a reconciliation engine, with a human signing rather than writing. Aimed at equipment rental dispatchers, at a tenth of what the enterprise suite charges.
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at equipment rental dispatchers, built for one person, not a department.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at equipment rental dispatchers, writing down what only one person knows.
A workflow engine that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at education registrars, taking the phone queue off a human entirely.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at education registrars, surfacing the exposure nobody has priced.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at education registrars, unbundling the one module people actually use.
A workflow engine that handles asset tracking end to end and hands a human the exceptions rather than the queue. Aimed at education registrars, finding what the inspector would find, first.
Point an autonomous agent at onboarding, and let people review output instead of producing it. Aimed at education program directors, going after the low-value tail everyone else skips.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes document review. Aimed at education program directors, finding what the inspector would find, first.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at education ops teams, charging only when it actually works.
Field reporting handled by a vision model, with a human signing rather than writing. Aimed at education ops teams, going after the low-value tail everyone else skips.
Point a voice agent at intake & triage, and let people review output instead of producing it. Aimed at education ops teams, built for one person, not a department.
Point an anomaly detector at expense review, and let people review output instead of producing it. Aimed at education ops teams, finding what the inspector would find, first.
A narrow classifier scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at education ops teams, at a tenth of what the enterprise suite charges.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at trade schools registrars, closing the loop while everyone is asleep.
A geospatial model that sits beside the existing system, reads what it already produces, and closes site selection. Aimed at trade schools program directors, charging only when it actually works.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at trade schools program directors, 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 intake & triage. Aimed at childcare owner-operators, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at childcare owner-operators, built for one person, not a department.
A retrieval engine that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at childcare owner-operators, going after the low-value tail everyone else skips.
Point a document parser at pricing, and let people review output instead of producing it. Aimed at childcare owner-operators, going after the low-value tail everyone else skips.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at childcare program directors, writing down what only one person knows.
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at childcare program directors, going after the low-value tail everyone else skips.
Point a geospatial model at site selection, and let people review output instead of producing it. Aimed at childcare program directors, replacing the spreadsheet that currently holds it together.