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 workflow engine at grant & funding tracking, and let people review output instead of producing it. Aimed at veterinary technicians, charging only when it actually works.
Training & competency handled by a forecasting model, with a human signing rather than writing. Aimed at life sciences study leads, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at life sciences study leads, finding what the inspector would find, first.
A vision model that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at life sciences study leads, charging only when it actually works.
Point a document parser at inspection, and let people review output instead of producing it. Aimed at life sciences study leads, built for one person, not a department.
A workflow engine that sits beside the existing system, reads what it already produces, and closes warranty & returns. Aimed at life sciences study leads, catching the error before it becomes a change order.
Point a reconciliation engine at margin monitoring, and let people review output instead of producing it. Aimed at life sciences study leads, unbundling the one module people actually use.
Point a forecasting model at pricing, and let people review output instead of producing it. Aimed at life sciences study leads, so the work stops following people home.
Payroll verification handled by an anomaly detector, with a human signing rather than writing. Aimed at life sciences study leads, proving value before anyone signs anything.
A vision model that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at life sciences study leads, built for one person, not a department.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at life sciences lab managers, holding service constant on a smaller team.
Inspection handled by a voice agent, with a human signing rather than writing. Aimed at life sciences lab managers, charging only when it actually works.
A narrow document parser scoped to warranty & returns alone — no platform, no migration, no six-month rollout. Aimed at life sciences lab managers, closing the loop while everyone is asleep.
A voice agent that sits beside the existing system, reads what it already produces, and closes intake & triage. Aimed at life sciences lab managers, charging only when it actually works.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at life sciences lab managers, 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 shift handover. Aimed at life sciences lab managers, 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 shift handover. Aimed at life sciences lab managers, going after the low-value tail everyone else skips.
A reconciliation engine that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at life sciences lab managers, taking the phone queue off a human entirely.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at life sciences lab managers, replacing the spreadsheet that currently holds it together.
Training & competency handled by a forecasting model, with a human signing rather than writing. Aimed at life sciences compliance leads, built for one person, not a department.
Permit & licence tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at life sciences compliance leads, replacing the spreadsheet that currently holds it together.
A vision model that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at life sciences compliance leads, taking the phone queue off a human entirely.
A vision model that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at life sciences compliance leads, unbundling the one module people actually use.
A voice agent that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at life sciences compliance leads, replacing the spreadsheet that currently holds it together.