Data loops and workflow lock-in that compound. Slower to start, much harder to copy. 2,022 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 retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at accounting 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 claims & appeals. Aimed at insurance agency owners, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at insurance agency owners, writing down what only one person knows.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at insurance underwriters, replacing the spreadsheet that currently holds it together.
Renewal management handled by an anomaly detector, with a human signing rather than writing. Aimed at insurance underwriters, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at insurance underwriters, at a tenth of what the enterprise suite charges.
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.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at insurance underwriters, catching the error before it becomes a change order.
Demand forecasting handled by an anomaly detector, with a human signing rather than writing. Aimed at insurance underwriters, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at insurance claims teams, charging only when it actually works.
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 narrow autonomous agent scoped to lead qualification alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, charging only when it actually works.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at insurance claims teams, holding service constant on a smaller team.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at insurance claims teams, closing the loop while everyone is asleep.
A reconciliation engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, unbundling the one module people actually use.
A reconciliation engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, charging only when it actually works.
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.
A narrow long-context reviewer scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at fintech cfos, charging only when it actually works.
Point a forecasting model at margin monitoring, and let people review output instead of producing it. Aimed at fintech ops teams, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, finding what the inspector would find, first.
Point a reconciliation engine at payroll verification, and let people review output instead of producing it. Aimed at fintech ops teams, catching the error before it becomes a change order.
Dispatch handled by a forecasting model, with a human signing rather than writing. Aimed at fintech compliance leads, closing the loop while everyone is asleep.