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 document parser that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, surfacing the exposure nobody has priced.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at insurance brokers, 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 brokers, taking the phone queue off a human entirely.
A reconciliation engine that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, proving value before anyone signs anything.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at insurance brokers, charging only when it actually works.
A document parser that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at insurance brokers, going after the low-value tail everyone else skips.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at insurance brokers, 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 fintech cfos, starting from data the business already produces.
Point an anomaly detector at risk assessment, and let people review output instead of producing it. Aimed at fintech cfos, unbundling the one module people actually use.
Point a document parser at compliance audit, and let people review output instead of producing it. Aimed at fintech cfos, 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 incident reporting. Aimed at fintech cfos, catching the error before it becomes a change order.
A narrow document parser scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, writing down what only one person knows.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes lead qualification. Aimed at fintech cfos, writing down what only one person knows.
A narrow anomaly detector scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, at a tenth of what the enterprise suite charges.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at fintech cfos, catching the error before it becomes a change order.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at fintech ops teams, going after the low-value tail everyone else skips.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at fintech ops teams, writing down what only one person knows.
An anomaly detector that handles permit & licence tracking end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, holding service constant on a smaller team.
A retrieval engine that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, finding what the inspector would find, first.
A narrow document parser scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at fintech ops teams, going after the low-value tail everyone else skips.
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, catching the error before it becomes a change order.
A retrieval engine that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at fintech compliance leads, built for one person, not a department.
A vision model that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at fintech compliance leads, built for one person, not a department.