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 forecasting model that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at lending underwriters, surfacing the exposure nobody has priced.
Maintenance planning handled by an anomaly detector, with a human signing rather than writing. Aimed at lending underwriters, finding what the inspector would find, first.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at lending underwriters, proving value before anyone signs anything.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at lending ops teams, so the work stops following people home.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at wealth management firm owners, catching the error before it becomes a change order.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at construction project managers, built for one person, not a department.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at construction ops teams, writing down what only one person knows.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at construction ops teams, 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 construction ops teams, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at construction owner-operators, built for one person, not a department.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at construction owner-operators, holding service constant on a smaller team.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes vendor management. Aimed at construction estimators, surfacing the exposure nobody has priced.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, surfacing the exposure nobody has priced.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, closing the loop while everyone is asleep.
Point an autonomous agent at lead qualification, and let people review output instead of producing it. Aimed at construction estimators, charging only when it actually works.
An anomaly detector that handles demand forecasting end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, unbundling the one module people actually use.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at construction estimators, holding service constant on a smaller team.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at architecture ops teams, starting from data the business already produces.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at facilities facilities directors, starting from data the business already produces.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at facilities facilities directors, finding what the inspector would find, first.
Maintenance planning handled by an optimisation engine, with a human signing rather than writing. Aimed at facilities ops teams, writing down what only one person knows.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes dispatch. Aimed at logistics fleet owners, built for one person, not a department.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at logistics dispatchers, unbundling the one module people actually use.
Point a retrieval engine at claims & appeals, and let people review output instead of producing it. Aimed at logistics dispatchers, surfacing the exposure nobody has priced.