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 narrow autonomous agent scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, finding what the inspector would find, first.
A narrow retrieval engine scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, finding what the inspector would find, first.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at franchising franchisees, catching the error before it becomes a change order.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at franchising franchisor ops, at a tenth of what the enterprise suite charges.
Compliance audit handled by a vision model, with a human signing rather than writing. Aimed at franchising field supervisors, holding service constant on a smaller team.
A narrow forecasting model scoped to inventory planning alone — no platform, no migration, no six-month rollout. Aimed at franchising field supervisors, so the work stops following people home.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at franchising field supervisors, replacing the spreadsheet that currently holds it together.
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.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at funeral services office managers, catching the error before it becomes a change order.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at security services ops teams, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at security services ops teams, writing down what only one person knows.
Point an anomaly detector at risk assessment, and let people review output instead of producing it. Aimed at telecom ops teams, at a tenth of what the enterprise suite charges.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at telecom ops teams, built for one person, not a department.
A narrow anomaly detector scoped to permit & licence tracking alone — no platform, no migration, no six-month rollout. Aimed at telecom field supervisors, so the work stops following people home.
Point an anomaly detector at risk assessment, and let people review output instead of producing it. Aimed at telecom compliance leads, so the work stops following people home.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at telecom compliance leads, holding service constant on a smaller team.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at telecom compliance leads, going after the low-value tail everyone else skips.
Point an autonomous agent at customer support, and let people review output instead of producing it. Aimed at telecom compliance leads, finding what the inspector would find, first.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at telecom compliance leads, taking the phone queue off a human entirely.
A forecasting model that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at healthcare clinic admins, taking the phone queue off a human entirely.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at healthcare clinic admins, proving value before anyone signs anything.
Maintenance planning handled by an anomaly detector, with a human signing rather than writing. Aimed at healthcare clinic admins, charging only when it actually works.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes demand forecasting. Aimed at healthcare clinic admins, proving value before anyone signs anything.
A narrow autonomous agent scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at healthcare practice owners, replacing the spreadsheet that currently holds it together.