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 retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at insurance claims teams, charging only when it actually works.
Point a retrieval engine at document review, and let people review output instead of producing it. Aimed at insurance claims teams, taking the phone queue off a human entirely.
A narrow long-context reviewer scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, closing the loop while everyone is asleep.
A narrow autonomous agent scoped to lead qualification alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, charging only when it actually works.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at insurance claims teams, holding service constant on a smaller team.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at insurance claims teams, closing the loop while everyone is asleep.
A narrow document parser scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, starting from data the business already produces.
Warranty & returns handled by a workflow engine, with a human signing rather than writing. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
Point a voice agent at incident reporting, and let people review output instead of producing it. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
Dispatch handled by a workflow engine, with a human signing rather than writing. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
A narrow reconciliation engine scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, finding what the inspector would find, first.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, unbundling the one module people actually use.
A voice agent that sits beside the existing system, reads what it already produces, and closes shift handover. Aimed at insurance claims teams, built for one person, not a department.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, replacing the spreadsheet that currently holds it together.
A narrow document parser scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, starting from data the business already produces.
A reconciliation engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, unbundling the one module people actually use.
A reconciliation engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, charging only when it actually works.
A narrow workflow engine scoped to renewal management alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at insurance brokers, at a tenth of what the enterprise suite charges.
A forecasting model that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, writing down what only one person knows.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at insurance brokers, starting from data the business already produces.
Point a forecasting model at demand forecasting, and let people review output instead of producing it. Aimed at insurance brokers, 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 insurance brokers, built for one person, not a department.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at insurance brokers, catching the error before it becomes a change order.