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 optimisation engine at pricing, and let people review output instead of producing it. Aimed at facilities facilities directors, closing the loop while everyone is asleep.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at facilities ops teams, 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 facilities ops teams, replacing the spreadsheet that currently holds it together.
A narrow classifier scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at facilities ops teams, catching the error before it becomes a change order.
A forecasting model that sits beside the existing system, reads what it already produces, and closes collections. Aimed at facilities maintenance leads, finding what the inspector would find, first.
A forecasting model that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, at a tenth of what the enterprise suite charges.
Field reporting handled by a document parser, with a human signing rather than writing. Aimed at logistics fleet owners, replacing the spreadsheet that currently holds it together.
A narrow voice agent scoped to inspection alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, charging only when it actually works.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at facilities ops teams, built for one person, not a department.
A narrow document parser scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, finding what the inspector would find, first.
A voice agent that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at facilities ops teams, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, replacing the spreadsheet that currently holds it together.
A forecasting model that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at facilities maintenance leads, built for one person, not a department.
A narrow document parser scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at facilities maintenance leads, writing down what only one person knows.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at facilities maintenance leads, taking the phone queue off a human entirely.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at facilities maintenance leads, at a tenth of what the enterprise suite charges.
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at facilities maintenance leads, catching the error before it becomes a change order.
Point a vision model at asset tracking, and let people review output instead of producing it. Aimed at logistics fleet owners, holding service constant on a smaller team.
Onboarding handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics fleet owners, built for one person, not a department.
Point a vision model at field reporting, and let people review output instead of producing it. Aimed at logistics fleet owners, proving value before anyone signs anything.
Point a document parser at field reporting, and let people review output instead of producing it. Aimed at logistics fleet owners, charging only when it actually works.
A reconciliation engine that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, writing down what only one person knows.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at logistics fleet owners, holding service constant on a smaller team.