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.
Incident reporting handled by a voice agent, with a human signing rather than writing. Aimed at utilities compliance leads, writing down what only one person knows.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at utilities compliance leads, charging only when it actually works.
A reconciliation engine that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at utilities compliance leads, 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 utilities field supervisors, charging only when it actually works.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at utilities field supervisors, finding what the inspector would find, first.
A narrow document parser scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at utilities compliance leads, finding what the inspector would find, first.
Point a voice agent at shift handover, and let people review output instead of producing it. Aimed at utilities compliance leads, unbundling the one module people actually use.
Point a workflow engine at shift handover, and let people review output instead of producing it. Aimed at utilities compliance leads, so the work stops following people home.
Field reporting handled by a document parser, with a human signing rather than writing. Aimed at utilities compliance leads, starting from data the business already produces.
Vendor management handled by a reconciliation engine, with a human signing rather than writing. Aimed at utilities compliance leads, finding what the inspector would find, first.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at utilities compliance leads, catching the error before it becomes a change order.
A vision model that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at utilities compliance leads, writing down what only one person knows.
A classifier that sits beside the existing system, reads what it already produces, and closes expense review. Aimed at utilities compliance leads, built for one person, not a department.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at utilities compliance leads, closing the loop while everyone is asleep.
A vision model that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at utilities compliance leads, charging only when it actually works.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at utilities compliance leads, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at utilities compliance leads, at a tenth of what the enterprise suite charges.
A document parser that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at utilities compliance leads, holding service constant on a smaller team.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at utilities compliance leads, closing the loop while everyone is asleep.
A document parser that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at utilities compliance leads, at a tenth of what the enterprise suite charges.
A workflow engine that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at utilities field supervisors, proving value before anyone signs anything.
A workflow engine that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at utilities field supervisors, writing down what only one person knows.
A geospatial model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at utilities field supervisors, holding service constant on a smaller team.
A narrow autonomous agent scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at utilities field supervisors, built for one person, not a department.