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 narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, closing the loop while everyone is asleep.
A narrow reconciliation engine scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, taking the phone queue off a human entirely.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at insurance underwriters, catching the error before it becomes a change order.
Reconciliation handled by an anomaly detector, with a human signing rather than writing. Aimed at insurance underwriters, unbundling the one module people actually use.
A narrow retrieval engine scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, finding what the inspector would find, first.
A narrow document parser scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, taking the phone queue off a human entirely.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance underwriters, unbundling the one module people actually use.
Maintenance planning handled by an anomaly detector, with a human signing rather than writing. Aimed at insurance underwriters, built for one person, not a department.
A voice agent that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, so the work stops following people home.
Point a document parser at incident reporting, and let people review output instead of producing it. Aimed at insurance underwriters, taking the phone queue off a human entirely.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, charging only when it actually works.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at insurance underwriters, proving value before anyone signs anything.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, proving value before anyone signs anything.
Reconciliation handled by a document parser, with a human signing rather than writing. Aimed at insurance claims teams, starting from data the business already produces.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at insurance claims teams, starting from data the business already produces.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at insurance claims teams, closing the loop while everyone is asleep.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance claims teams, taking the phone queue off a human entirely.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, closing the loop while everyone is asleep.
Invoicing handled by a document parser, with a human signing rather than writing. Aimed at insurance claims teams, replacing the spreadsheet that currently holds it together.
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 handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, finding what the inspector would find, first.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at insurance claims teams, holding service constant on a smaller team.
Point an autonomous agent at customer support, and let people review output instead of producing it. Aimed at insurance claims teams, built for one person, not a department.
Point a classifier at customer support, and let people review output instead of producing it. Aimed at insurance claims teams, unbundling the one module people actually use.