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 document parser scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, starting from data the business already produces.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at legal paralegal teams, charging only when it actually works.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at legal paralegal teams, built for one person, not a department.
Intake & triage handled by a document parser, with a human signing rather than writing. Aimed at legal ops teams, catching the error before it becomes a change order.
A narrow document parser scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, closing the loop while everyone is asleep.
Quality control handled by a vision model, with a human signing rather than writing. Aimed at legal ops teams, surfacing the exposure nobody has priced.
A long-context reviewer that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, taking the phone queue off a human entirely.
Point a retrieval engine at contract analysis, and let people review output instead of producing it. Aimed at legal paralegal teams, writing down what only one person knows.
A narrow document parser scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
A narrow document parser scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, built for one person, not a department.
A voice agent that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at legal paralegal teams, taking the phone queue off a human entirely.
A narrow vision model scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, charging only when it actually works.
An anomaly detector that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, so the work stops following people home.
A forecasting model that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at legal ops teams, taking the phone queue off a human entirely.
A workflow engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes document review. Aimed at legal ops teams, at a tenth of what the enterprise suite charges.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at legal ops teams, replacing the spreadsheet that currently holds it together.
Point a forecasting model at renewal management, and let people review output instead of producing it. Aimed at legal ops teams, replacing the spreadsheet that currently holds it together.
A voice agent that sits beside the existing system, reads what it already produces, and closes intake & triage. Aimed at legal ops teams, charging only when it actually works.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at legal ops teams, charging only when it actually works.
Payroll verification handled by a document parser, with a human signing rather than writing. Aimed at legal ops teams, finding what the inspector would find, first.
A forecasting model that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at legal ops teams, taking the phone queue off a human entirely.
A narrow workflow engine scoped to warranty & returns alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, surfacing the exposure nobody has priced.