Scheduling Built for Study Leads
Point a forecasting model at scheduling, and let people review output instead of producing it. Aimed at life sciences study leads, so the work stops following people home.
Small buyer counts, large contracts. You do not need many customers to build a real business. 687 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 a forecasting model at scheduling, and let people review output instead of producing it. Aimed at life sciences study leads, so the work stops following people home.
A narrow autonomous agent scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at life sciences compliance leads, so the work stops following people home.
Renewal management handled by a workflow engine, with a human signing rather than writing. Aimed at life sciences compliance leads, finding what the inspector would find, first.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at mental health solo practitioners, built for one person, not a department.
A classifier that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at mental health solo practitioners, built for one person, not a department.
A document parser that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at mental health solo practitioners, replacing the spreadsheet that currently holds it together.
Point a vision model at inspection, and let people review output instead of producing it. Aimed at mental health clinic admins, built for one person, not a department.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, catching the error before it becomes a change order.
A classifier that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, writing down what only one person knows.
Scheduling handled by an optimisation engine, with a human signing rather than writing. Aimed at home care compliance leads, closing the loop while everyone is asleep.
Point a retrieval engine at contract analysis, and let people review output instead of producing it. Aimed at legal paralegal teams, writing down what only one person knows.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, finding what the inspector would find, first.
A forecasting model that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, writing down what only one person knows.
Point a vision model at asset tracking, and let people review output instead of producing it. Aimed at wealth management advisors, going after the low-value tail everyone else skips.
RFP response handled by a document parser, with a human signing rather than writing. Aimed at wealth management compliance leads, closing the loop while everyone is asleep.
Point an autonomous agent at customer support, and let people review output instead of producing it. Aimed at construction project managers, catching the error before it becomes a change order.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at construction ops teams, replacing the spreadsheet that currently holds it together.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes permit & licence tracking. Aimed at construction ops teams, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at construction ops teams, proving value before anyone signs anything.
Point a forecasting model at risk assessment, and let people review output instead of producing it. Aimed at construction owner-operators, proving value before anyone signs anything.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at construction estimators, proving value before anyone signs anything.
A forecasting model that sits beside the existing system, reads what it already produces, and closes site selection. Aimed at property management owner-operators, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at property management maintenance leads, built for one person, not a department.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at property management maintenance leads, so the work stops following people home.