Small buyer counts, large contracts. You do not need many customers to build a real business. 687 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 document parser that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at mental health solo practitioners, built for one person, not a department.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at mental health program directors, closing the loop while everyone is asleep.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at home care agency owners, catching the error before it becomes a change order.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at home care agency owners, replacing the spreadsheet that currently holds it together.
Point a forecasting model at collections, and let people review output instead of producing it. Aimed at construction project managers, going after the low-value tail everyone else skips.
Point a forecasting model at scheduling, and let people review output instead of producing it. Aimed at construction project managers, built for one person, not a department.
A forecasting model that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at construction ops teams, writing down what only one person knows.
A workflow engine that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at construction owner-operators, closing the loop while everyone is asleep.
A forecasting model that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at construction owner-operators, writing down what only one person knows.
Point a workflow engine at renewal management, and let people review output instead of producing it. Aimed at architecture principals, going after the low-value tail everyone else skips.
A forecasting model that sits beside the existing system, reads what it already produces, and closes route planning. Aimed at architecture ops teams, finding what the inspector would find, first.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at architecture ops teams, starting from data the business already produces.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at property management property managers, built for one person, not a department.
Point a document parser at onboarding, and let people review output instead of producing it. Aimed at facilities ops teams, proving value before anyone signs anything.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at facilities maintenance leads, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at logistics fleet owners, taking the phone queue off a human entirely.
Pricing handled by an optimisation engine, with a human signing rather than writing. Aimed at logistics ops teams, writing down what only one person knows.
Point a document parser at quoting & estimating, and let people review output instead of producing it. Aimed at logistics ops teams, so the work stops following people home.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at logistics warehouse teams, replacing the spreadsheet that currently holds it together.
A voice agent that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at freight brokerage brokers, proving value before anyone signs anything.
A document parser that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at freight brokerage ops teams, so the work stops following people home.
A reconciliation engine that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at freight brokerage dispatchers, going after the low-value tail everyone else skips.
A narrow long-context reviewer scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at warehousing warehouse teams, catching the error before it becomes a change order.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at warehousing ops teams, catching the error before it becomes a change order.