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 a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at legal solo practitioners, finding what the inspector would find, first.
A narrow voice agent scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, unbundling the one module people actually use.
Document review handled by a long-context reviewer, with a human signing rather than writing. Aimed at legal ops teams, starting from data the business already produces.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, built for one person, not a department.
A narrow autonomous agent scoped to lead qualification alone — no platform, no migration, no six-month rollout. Aimed at insurance agency owners, unbundling the one module people actually use.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, going after the low-value tail everyone else skips.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, surfacing the exposure nobody has priced.
A document parser that handles shift handover end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, catching the error before it becomes a change order.
Customer support handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at construction project managers, at a tenth of what the enterprise suite charges.
Warranty & returns handled by a document parser, with a human signing rather than writing. Aimed at construction project managers, so the work stops following people home.
A reconciliation engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at construction ops teams, at a tenth of what the enterprise suite charges.
Point a document parser at quoting & estimating, and let people review output instead of producing it. Aimed at construction ops teams, going after the low-value tail everyone else skips.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at construction ops teams, built for one person, not a department.
A document parser that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at construction ops teams, at a tenth of what the enterprise suite charges.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at construction ops teams, finding what the inspector would find, first.
A narrow reconciliation engine scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at construction owner-operators, proving value before anyone signs anything.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at construction owner-operators, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at construction owner-operators, at a tenth of what the enterprise suite charges.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at construction owner-operators, taking the phone queue off a human entirely.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at construction owner-operators, closing the loop while everyone is asleep.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, charging only when it actually works.
A narrow document parser scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, going after the low-value tail everyone else skips.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at construction estimators, going after the low-value tail everyone else skips.