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 retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at automotive service managers, unbundling the one module people actually use.
A geospatial model that sits beside the existing system, reads what it already produces, and closes site selection. Aimed at trade schools program directors, charging only when it actually works.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at trade schools program directors, catching the error before it becomes a change order.
A workflow engine that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at government program directors, going after the low-value tail everyone else skips.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at government program directors, writing down what only one person knows.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at government program directors, proving value before anyone signs anything.
A voice agent that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at government program directors, finding what the inspector would find, first.
Margin monitoring handled by an anomaly detector, with a human signing rather than writing. Aimed at government compliance leads, built for one person, not a department.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at government compliance leads, taking the phone queue off a human entirely.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at government compliance leads, catching the error before it becomes a change order.
A narrow forecasting model scoped to dispatch alone — no platform, no migration, no six-month rollout. Aimed at government compliance leads, replacing the spreadsheet that currently holds it together.
A narrow reconciliation engine scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at government ops teams, proving value before anyone signs anything.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at government ops teams, replacing the spreadsheet that currently holds it together.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at government ops teams, unbundling the one module people actually use.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at government ops teams, replacing the spreadsheet that currently holds it together.
Inspection handled by a voice agent, with a human signing rather than writing. Aimed at government ops teams, built for one person, not a department.
Point an autonomous agent at customer support, and let people review output instead of producing it. Aimed at government ops teams, writing down what only one person knows.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at public safety department heads, proving value before anyone signs anything.
Quality control handled by a vision model, with a human signing rather than writing. Aimed at public safety department heads, finding what the inspector would find, first.
Point a document parser at grant & funding tracking, and let people review output instead of producing it. Aimed at public safety department heads, built for one person, not a department.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at public safety department heads, unbundling the one module people actually use.
Point a forecasting model at quoting & estimating, and let people review output instead of producing it. Aimed at public safety department heads, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at public safety ops teams, closing the loop while everyone is asleep.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety ops teams, going after the low-value tail everyone else skips.