Revenue inside a month. Useful when you need the idea to fund itself rather than the other way round. 362 ideas qualify, averaging 73/100 on the opportunity score. Membership is computed from the scores rather than chosen by hand, so the list updates whenever the corpus is rebuilt.
Maintenance planning handled by an anomaly detector, with a human signing rather than writing. Aimed at public safety department heads, catching the error before it becomes a change order.
Customer support handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety ops teams, replacing the spreadsheet that currently holds it together.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at public safety ops teams, catching the error before it becomes a change order.
Point a document parser at quoting & estimating, and let people review output instead of producing it. Aimed at public safety compliance leads, proving value before anyone signs anything.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at staffing schedulers, so the work stops following people home.
Point a reconciliation engine at vendor management, and let people review output instead of producing it. Aimed at franchising franchisees, holding service constant on a smaller team.
Customer support handled by a classifier, with a human signing rather than writing. Aimed at franchising franchisees, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at franchising franchisor ops, going after the low-value tail everyone else skips.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at franchising franchisor ops, surfacing the exposure nobody has priced.
Point a document parser at contract analysis, and let people review output instead of producing it. Aimed at franchising field supervisors, finding what the inspector would find, first.
Point a document parser at RFP response, and let people review output instead of producing it. Aimed at telecom field supervisors, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at healthcare clinic admins, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at healthcare clinic admins, catching the error before it becomes a change order.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at healthcare practice owners, replacing the spreadsheet that currently holds it together.
Incident reporting handled by a document parser, with a human signing rather than writing. Aimed at healthcare department heads, catching the error before it becomes a change order.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at healthcare department heads, proving value before anyone signs anything.
A workflow engine that handles permit & licence tracking end to end and hands a human the exceptions rather than the queue. Aimed at dental office managers, unbundling the one module people actually use.
A narrow autonomous agent scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at mental health solo practitioners, taking the phone queue off a human entirely.
A narrow anomaly detector scoped to permit & licence tracking alone — no platform, no migration, no six-month rollout. Aimed at mental health clinic admins, going after the low-value tail everyone else skips.
A document parser that sits beside the existing system, reads what it already produces, and closes document review. Aimed at mental health program directors, catching the error before it becomes a change order.
Reconciliation handled by a document parser, with a human signing rather than writing. Aimed at legal partners, built for one person, not a department.
A narrow anomaly detector scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, taking the phone queue off a human entirely.
A document parser that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at accounting ops teams, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at construction owner-operators, taking the phone queue off a human entirely.