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 maintenance planning, and let people review output instead of producing it. Aimed at facilities facilities directors, built for one person, not a department.
A narrow document parser scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, at a tenth of what the enterprise suite charges.
RFP response handled by a document parser, with a human signing rather than writing. Aimed at logistics dispatchers, finding what the inspector would find, first.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, holding service constant on a smaller team.
Point a document parser at grant & funding tracking, and let people review output instead of producing it. Aimed at logistics ops teams, finding what the inspector would find, first.
A narrow anomaly detector scoped to demand forecasting alone — no platform, no migration, no six-month rollout. Aimed at facilities facilities directors, proving value before anyone signs anything.
A narrow document parser scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, surfacing the exposure nobody has priced.
A voice agent that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at facilities maintenance leads, proving value before anyone signs anything.
Point a voice agent at field reporting, and let people review output instead of producing it. Aimed at logistics fleet owners, surfacing the exposure nobody has priced.
Point a document parser at field reporting, and let people review output instead of producing it. Aimed at logistics fleet owners, writing down what only one person knows.
Field reporting handled by a document parser, with a human signing rather than writing. Aimed at logistics fleet owners, charging only when it actually works.
Point a reconciliation engine at reporting & analytics, and let people review output instead of producing it. Aimed at logistics fleet owners, finding what the inspector would find, first.
Point an anomaly detector at quality control, and let people review output instead of producing it. Aimed at logistics fleet owners, built for one person, not a department.
A narrow anomaly detector scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, proving value before anyone signs anything.
Point a retrieval engine at claims & appeals, and let people review output instead of producing it. Aimed at logistics fleet owners, at a tenth of what the enterprise suite charges.
Point an anomaly detector at asset tracking, and let people review output instead of producing it. Aimed at logistics dispatchers, catching the error before it becomes a change order.
A narrow vision model scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at logistics dispatchers, starting from data the business already produces.
A document parser that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at logistics dispatchers, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at logistics dispatchers, taking the phone queue off a human entirely.
Shift handover handled by a document parser, with a human signing rather than writing. Aimed at logistics dispatchers, built for one person, not a department.
A voice agent that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, replacing the spreadsheet that currently holds it together.
Point an optimisation engine at inventory planning, and let people review output instead of producing it. Aimed at logistics ops teams, charging only when it actually works.
Reconciliation handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics ops teams, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at logistics ops teams, writing down what only one person knows.