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.
A voice agent that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at industrial services ops teams, so the work stops following people home.
Point a classifier at expense review, and let people review output instead of producing it. Aimed at industrial services ops teams, starting from data the business already produces.
A forecasting model that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at industrial services field supervisors, catching the error before it becomes a change order.
A voice agent that handles shift handover end to end and hands a human the exceptions rather than the queue. Aimed at industrial services field supervisors, so the work stops following people home.
Point a workflow engine at shift handover, and let people review output instead of producing it. Aimed at industrial services field supervisors, unbundling the one module people actually use.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at industrial services field supervisors, replacing the spreadsheet that currently holds it together.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at industrial services owner-operators, proving value before anyone signs anything.
A forecasting model that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at industrial services owner-operators, starting from data the business already produces.
Point a workflow engine at incident reporting, and let people review output instead of producing it. Aimed at industrial services owner-operators, taking the phone queue off a human entirely.
Point a document parser at expense review, and let people review output instead of producing it. Aimed at industrial services owner-operators, so the work stops following people home.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at energy ops teams, starting from data the business already produces.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at energy ops teams, so the work stops following people home.
Point a document parser at onboarding, and let people review output instead of producing it. Aimed at energy ops teams, catching the error before it becomes a change order.
A narrow voice agent scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at energy ops teams, closing the loop while everyone is asleep.
A voice agent that sits beside the existing system, reads what it already produces, and closes incident reporting. Aimed at energy ops teams, charging only when it actually works.
A narrow workflow engine scoped to warranty & returns alone — no platform, no migration, no six-month rollout. Aimed at energy ops teams, holding service constant on a smaller team.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at energy ops teams, starting from data the business already produces.
A retrieval engine that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at energy ops teams, built for one person, not a department.
A narrow document parser scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at energy ops teams, taking the phone queue off a human entirely.
A workflow engine that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at energy ops teams, built for one person, not a department.
A narrow anomaly detector scoped to asset tracking alone — no platform, no migration, no six-month rollout. Aimed at energy ops teams, holding service constant on a smaller team.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at energy ops teams, at a tenth of what the enterprise suite charges.
Customer support handled by a retrieval engine, with a human signing rather than writing. Aimed at energy ops teams, so the work stops following people home.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at energy ops teams, built for one person, not a department.