Ideas that were technically impossible eighteen months ago. The enabling shift is recent enough that incumbents have not adapted. 1,289 ideas qualify, averaging 74/100 on the opportunity score. Membership is computed from the scores rather than chosen by hand, so the list updates whenever the corpus is rebuilt.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at trade schools registrars, proving value before anyone signs anything.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at trade schools program directors, holding service constant on a smaller team.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at trade schools program directors, built for one person, not a department.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at childcare program directors, finding what the inspector would find, first.
A long-context reviewer that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at childcare program directors, closing the loop while everyone is asleep.
Point a voice agent at incident reporting, and let people review output instead of producing it. Aimed at government program directors, surfacing the exposure nobody has priced.
A narrow vision model scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at government compliance leads, so the work stops following people home.
Onboarding handled by an autonomous agent, with a human signing rather than writing. Aimed at government compliance leads, unbundling the one module people actually use.
A long-context reviewer that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at government ops teams, starting from data the business already produces.
Point a vision model at quality control, and let people review output instead of producing it. Aimed at public safety department heads, catching the error before it becomes a change order.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at public safety department heads, proving value before anyone signs anything.
Point a long-context reviewer at contract analysis, and let people review output instead of producing it. Aimed at public safety department heads, going after the low-value tail everyone else skips.
A retrieval engine that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at public safety ops teams, finding what the inspector would find, first.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, catching the error before it becomes a change order.
A narrow long-context reviewer scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at recruiting ops teams, built for one person, not a department.
A vision model that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at staffing agency owners, replacing the spreadsheet that currently holds it together.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at staffing schedulers, surfacing the exposure nobody has priced.
Proposal writing handled by a long-context reviewer, with a human signing rather than writing. Aimed at marketing agencies ops teams, going after the low-value tail everyone else skips.
A vision model that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at franchising franchisees, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at franchising franchisor ops, going after the low-value tail everyone else skips.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at franchising field supervisors, taking the phone queue off a human entirely.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at salons & spas office managers, closing the loop while everyone is asleep.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at travel agency owners, writing down what only one person knows.
Lead qualification handled by an autonomous agent, with a human signing rather than writing. Aimed at travel agency owners, taking the phone queue off a human entirely.