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 document parser at invoicing, and let people review output instead of producing it. Aimed at legal partners, built for one person, not a department.
A document parser that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, finding what the inspector would find, first.
A workflow engine that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at legal partners, unbundling the one module people actually use.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, proving value before anyone signs anything.
Intake & triage handled by a document parser, with a human signing rather than writing. Aimed at legal partners, catching the error before it becomes a change order.
A reconciliation engine that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, writing down what only one person knows.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at legal partners, catching the error before it becomes a change order.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at legal partners, closing the loop while everyone is asleep.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at legal partners, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at legal paralegal teams, at a tenth of what the enterprise suite charges.
Invoicing handled by a document parser, with a human signing rather than writing. Aimed at legal partners, so the work stops following people home.
Point a workflow engine at invoicing, and let people review output instead of producing it. Aimed at legal partners, going after the low-value tail everyone else skips.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at legal partners, unbundling the one module people actually use.
A narrow workflow engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at legal partners, closing the loop while everyone is asleep.
A narrow document parser scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at legal partners, unbundling the one module people actually use.
An optimisation engine that handles route planning end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, finding what the inspector would find, first.
A forecasting model that handles route planning end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, surfacing the exposure nobody has priced.
Site selection handled by a forecasting model, with a human signing rather than writing. Aimed at legal partners, taking the phone queue off a human entirely.
Site selection handled by a forecasting model, with a human signing rather than writing. Aimed at legal partners, unbundling the one module people actually use.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at legal paralegal teams, starting from data the business already produces.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, closing the loop while everyone is asleep.
A long-context reviewer that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, unbundling the one module people actually use.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at legal paralegal teams, so the work stops following people home.
A classifier that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, charging only when it actually works.