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.
Point a classifier at lead qualification, and let people review output instead of producing it. Aimed at construction ops teams, so the work stops following people home.
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.
A document parser that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, unbundling the one module people actually use.
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.
Renewal management handled by a workflow engine, with a human signing rather than writing. Aimed at construction estimators, proving value before anyone signs anything.
Point an anomaly detector at margin monitoring, and let people review output instead of producing it. Aimed at property management owner-operators, catching the error before it becomes a change order.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at property management owner-operators, going after the low-value tail everyone else skips.
A narrow document parser scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at logistics fleet owners, charging only when it actually works.
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 document parser that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at architecture principals, at a tenth of what the enterprise suite charges.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at architecture principals, replacing the spreadsheet that currently holds it together.
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.
A narrow forecasting model scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at real estate property managers, so the work stops following people home.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at real estate property managers, starting from data the business already produces.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at real estate owner-operators, proving value before anyone signs anything.
A narrow document parser scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at property management property managers, holding service constant on a smaller team.
Vendor management handled by a reconciliation engine, with a human signing rather than writing. Aimed at property management maintenance leads, finding what the inspector would find, first.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at property management maintenance leads, finding what the inspector would find, first.
Knowledge capture handled by a document parser, with a human signing rather than writing. Aimed at property management maintenance leads, writing down what only one person knows.
Grant & funding tracking handled by a document parser, with a human signing rather than writing. Aimed at facilities facilities directors, starting from data the business already produces.
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.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at logistics fleet owners, closing the loop while everyone is asleep.
A narrow document parser scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, surfacing the exposure nobody has priced.