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 voice agent at field reporting, and let people review output instead of producing it. Aimed at construction ops teams, catching the error before it becomes a change order.
A narrow voice agent scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at construction ops teams, starting from data the business already produces.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at construction owner-operators, built for one person, not a department.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at construction owner-operators, finding what the inspector would find, first.
Point a document parser at field reporting, and let people review output instead of producing it. Aimed at construction estimators, proving value before anyone signs anything.
A narrow retrieval engine scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, catching the error before it becomes a change order.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at real estate brokers, going after the low-value tail everyone else skips.
Site selection handled by a geospatial model, with a human signing rather than writing. Aimed at property management property managers, so the work stops following people home.
Point an optimisation engine at site selection, and let people review output instead of producing it. Aimed at property management property managers, replacing the spreadsheet that currently holds it together.
A vision model that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at property management property managers, surfacing the exposure nobody has priced.
Document review handled by a long-context reviewer, with a human signing rather than writing. Aimed at property management maintenance leads, replacing the spreadsheet that currently holds it together.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, replacing the spreadsheet that currently holds it together.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, replacing the spreadsheet that currently holds it together.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at logistics fleet owners, so the work stops following people home.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at logistics fleet owners, finding what the inspector would find, first.
Risk assessment handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics fleet owners, 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 logistics dispatchers, replacing the spreadsheet that currently holds it together.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at logistics dispatchers, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics warehouse teams, closing the loop while everyone is asleep.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at freight brokerage ops teams, holding service constant on a smaller team.
A vision model that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at warehousing warehouse teams, replacing the spreadsheet that currently holds it together.
A vision model that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at warehousing ops teams, built for one person, not a department.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at warehousing ops teams, going after the low-value tail everyone else skips.