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.
A narrow anomaly detector scoped to demand forecasting alone — no platform, no migration, no six-month rollout. Aimed at public safety compliance leads, charging only when it actually works.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at recruiting agency owners, catching the error before it becomes a change order.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at recruiting ops teams, replacing the spreadsheet that currently holds it together.
Margin monitoring handled by a forecasting model, with a human signing rather than writing. Aimed at recruiting ops teams, starting from data the business already produces.
A forecasting model that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at recruiting ops teams, starting from data the business already produces.
Intake & triage handled by a document parser, with a human signing rather than writing. Aimed at staffing agency owners, taking the phone queue off a human entirely.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at marketing agencies account leads, built for one person, not a department.
Point an anomaly detector at margin monitoring, and let people review output instead of producing it. Aimed at franchising franchisor ops, writing down what only one person knows.
Claims & appeals handled by a document parser, with a human signing rather than writing. Aimed at franchising franchisor ops, built for one person, not a department.
An anomaly detector that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at franchising field supervisors, so the work stops following people home.
Point a classifier at customer support, and let people review output instead of producing it. Aimed at franchising field supervisors, at a tenth of what the enterprise suite charges.
A forecasting model that sits beside the existing system, reads what it already produces, and closes collections. Aimed at fitness owner-operators, starting from data the business already produces.
A narrow forecasting model scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at recruiting agency owners, starting from data the business already produces.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at staffing schedulers, so the work stops following people home.
A narrow document parser scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at professional services ops teams, surfacing the exposure nobody has priced.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at professional services project managers, closing the loop while everyone is asleep.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at marketing agencies ops teams, built for one person, not a department.
Point an anomaly detector at margin monitoring, and let people review output instead of producing it. Aimed at franchising franchisees, taking the phone queue off a human entirely.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at franchising franchisees, closing the loop while everyone is asleep.
Vendor management handled by a workflow engine, with a human signing rather than writing. Aimed at franchising franchisees, closing the loop while everyone is asleep.
A narrow optimisation engine scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at franchising franchisees, catching the error before it becomes a change order.
A narrow classifier scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at franchising franchisees, starting from data the business already produces.
A narrow anomaly detector scoped to margin monitoring alone — no platform, no migration, no six-month rollout. Aimed at franchising field supervisors, catching the error before it becomes a change order.
Point a geospatial model at site selection, and let people review output instead of producing it. Aimed at franchising field supervisors, catching the error before it becomes a change order.