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 anomaly detector at reconciliation, and let people review output instead of producing it. Aimed at insurance brokers, writing down what only one person knows.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, holding service constant on a smaller team.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at insurance brokers, replacing the spreadsheet that currently holds it together.
Customer support handled by an autonomous agent, with a human signing rather than writing. Aimed at insurance brokers, 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 RFP response. Aimed at insurance brokers, built for one person, not a department.
A narrow document parser scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, proving value before anyone signs anything.
Point an anomaly detector at risk assessment, and let people review output instead of producing it. Aimed at fintech cfos, at a tenth of what the enterprise suite charges.
Point a reconciliation engine at vendor management, and let people review output instead of producing it. Aimed at fintech ops teams, replacing the spreadsheet that currently holds it together.
A reconciliation engine that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, at a tenth of what the enterprise suite charges.
Compliance audit handled by a document parser, with a human signing rather than writing. Aimed at fintech ops teams, unbundling the one module people actually use.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at insurance brokers, starting from data the business already produces.
A document parser that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, catching the error before it becomes a change order.
Point a document parser at RFP response, and let people review output instead of producing it. Aimed at insurance brokers, surfacing the exposure nobody has priced.
An anomaly detector that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at fintech cfos, 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 cfos, writing down what only one person knows.
A classifier that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at fintech cfos, unbundling the one module people actually use.
Contract analysis handled by a long-context reviewer, with a human signing rather than writing. Aimed at fintech cfos, unbundling the one module people actually use.
A narrow long-context reviewer scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, taking the phone queue off a human entirely.
A narrow reconciliation engine scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at fintech ops teams, unbundling the one module people actually use.
Reporting & analytics handled by a reconciliation engine, with a human signing rather than writing. Aimed at fintech ops teams, charging only when it actually works.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at fintech ops teams, catching the error before it becomes a change order.
A narrow autonomous agent scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at fintech ops teams, taking the phone queue off a human entirely.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, built for one person, not a department.
A workflow engine that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, charging only when it actually works.