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.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at healthcare department heads, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at healthcare department heads, finding what the inspector would find, first.
Point an autonomous agent at customer support, and let people review output instead of producing it. Aimed at healthcare department heads, writing down what only one person knows.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at healthcare department heads, so the work stops following people home.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes permit & licence tracking. Aimed at life sciences compliance leads, unbundling the one module people actually use.
A narrow voice agent scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at life sciences compliance leads, closing the loop while everyone is asleep.
Invoicing handled by a document parser, with a human signing rather than writing. Aimed at life sciences compliance leads, finding what the inspector would find, first.
A forecasting model that sits beside the existing system, reads what it already produces, and closes site selection. Aimed at home care compliance leads, so the work stops following people home.
A narrow forecasting model scoped to renewal management alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, holding service constant on a smaller team.
A narrow long-context reviewer scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, finding what the inspector would find, first.
Point a forecasting model at quality control, and let people review output instead of producing it. Aimed at legal partners, going after the low-value tail everyone else skips.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at legal partners, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at legal paralegal teams, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at legal paralegal teams, holding service constant on a smaller team.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at legal ops teams, starting from data the business already produces.
A long-context reviewer that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, closing the loop while everyone is asleep.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at legal ops teams, so the work stops following people home.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at legal ops teams, so the work stops following people home.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at accounting firm owners, replacing the spreadsheet that currently holds it together.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at insurance underwriters, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at insurance claims teams, catching the error before it becomes a change order.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at fintech cfos, closing the loop while everyone is asleep.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at fintech cfos, so the work stops following people home.