12,000 ideas match, averaging 73/100 on the opportunity score. For people whose advantage is knowing an industry from the inside. Ranked so that domain-heavy, unglamorous workflows rise rather than sink.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, surfacing the exposure nobody has priced.
Point a forecasting model at demand forecasting, and let people review output instead of producing it. Aimed at insurance brokers, holding service constant on a smaller team.
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 retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, replacing the spreadsheet that currently holds it together.
Incident reporting handled by a document parser, with a human signing rather than writing. Aimed at fintech compliance leads, holding service constant on a smaller team.
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at lending loan officers, holding service constant on a smaller team.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes invoicing. Aimed at lending ops teams, starting from data the business already produces.
A narrow forecasting model scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at wealth management firm owners, at a tenth of what the enterprise suite charges.
Point a retrieval engine at document review, and let people review output instead of producing it. Aimed at insurance claims teams, taking the phone queue off a human entirely.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, replacing the spreadsheet that currently holds it together.
A forecasting model that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, writing down what only one person knows.
RFP response handled by a document parser, with a human signing rather than writing. Aimed at insurance brokers, catching the error before it becomes a change order.
A narrow retrieval engine scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, closing the loop while everyone is asleep.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, holding service constant on a smaller team.
An anomaly detector that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, catching the error before it becomes a change order.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at fintech compliance leads, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at fintech compliance leads, replacing the spreadsheet that currently holds it together.
Point a forecasting model at pricing, and let people review output instead of producing it. Aimed at lending loan officers, replacing the spreadsheet that currently holds it together.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at lending underwriters, charging only when it actually works.
A workflow engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at construction project managers, proving value before anyone signs anything.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at construction project 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 pricing. Aimed at construction project managers, catching the error before it becomes a change order.
Pricing handled by a document parser, with a human signing rather than writing. Aimed at construction project managers, starting from data the business already produces.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes invoicing. Aimed at construction ops teams, writing down what only one person knows.