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 autonomous agent at collections, and let people review output instead of producing it. Aimed at logistics dispatchers, so the work stops following people home.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at logistics dispatchers, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at logistics dispatchers, proving value before anyone signs anything.
Risk assessment handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics dispatchers, replacing the spreadsheet that currently holds it together.
Point a document parser at expense review, and let people review output instead of producing it. Aimed at logistics dispatchers, finding what the inspector would find, first.
Point a classifier at expense review, and let people review output instead of producing it. Aimed at logistics dispatchers, holding service constant on a smaller team.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
A narrow optimisation engine scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, holding service constant on a smaller team.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at logistics ops teams, unbundling the one module people actually use.
Collections handled by a forecasting model, with a human signing rather than writing. Aimed at logistics dispatchers, catching the error before it becomes a change order.
A workflow engine that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at logistics dispatchers, charging only when it actually works.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at logistics dispatchers, going after the low-value tail everyone else skips.
Maintenance planning handled by a forecasting model, with a human signing rather than writing. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
An anomaly detector that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, catching the error before it becomes a change order.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at logistics ops teams, taking the phone queue off a human entirely.
A narrow voice agent scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, starting from data the business already produces.
Point a vision model at quality control, and let people review output instead of producing it. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, proving value before anyone signs anything.
Point an anomaly detector at renewal management, and let people review output instead of producing it. Aimed at logistics ops teams, unbundling the one module people actually use.
Reconciliation handled by a reconciliation engine, with a human signing rather than writing. Aimed at logistics ops teams, so the work stops following people home.
A narrow anomaly detector scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, closing the loop while everyone is asleep.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
A document parser that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at logistics ops teams, so the work stops following people home.