Automated Maintenance Planner for Healthcare
An anomaly detector that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
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.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at healthcare department heads, writing down what only one person knows.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at life sciences study leads, closing the loop while everyone is asleep.
Margin monitoring handled by an anomaly detector, with a human signing rather than writing. Aimed at life sciences study leads, holding service constant on a smaller team.
A narrow anomaly detector scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at life sciences lab managers, proving value before anyone signs anything.
A narrow voice agent scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at life sciences lab managers, at a tenth of what the enterprise suite charges.
An anomaly detector that handles asset tracking end to end and hands a human the exceptions rather than the queue. Aimed at life sciences lab managers, holding service constant on a smaller team.
A long-context reviewer that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at life sciences lab managers, built for one person, not a department.
A long-context reviewer that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at life sciences lab managers, built for one person, not a department.
A voice agent that handles shift handover end to end and hands a human the exceptions rather than the queue. Aimed at life sciences lab managers, replacing the spreadsheet that currently holds it together.
Invoicing handled by a reconciliation engine, with a human signing rather than writing. Aimed at life sciences lab managers, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at life sciences compliance leads, starting from data the business already produces.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at life sciences compliance leads, starting from data the business already produces.
A forecasting model that sits beside the existing system, reads what it already produces, and closes inventory planning. Aimed at life sciences compliance leads, built for one person, not a department.
A retrieval engine that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at life sciences compliance leads, catching the error before it becomes a change order.
A forecasting model that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at home care agency owners, 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 home care schedulers, 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 compliance audit. Aimed at home care compliance leads, finding what the inspector would find, first.
A narrow retrieval engine scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, surfacing the exposure nobody has priced.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at legal solo practitioners, surfacing the exposure nobody has priced.
Payroll verification handled by a reconciliation engine, with a human signing rather than writing. Aimed at legal solo practitioners, writing down what only one person knows.
A narrow optimisation engine scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at legal solo practitioners, finding what the inspector would find, first.
A narrow vision model scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at legal partners, closing the loop while everyone is asleep.