Reporting Layer for Life sciences Compliance Leads
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at life sciences compliance leads, going after the low-value tail everyone else skips.
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.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at life sciences compliance leads, going after the low-value tail everyone else skips.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at life sciences compliance leads, built for one person, not a department.
A vision model that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at mental health solo practitioners, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at mental health solo practitioners, starting from data the business already produces.
A narrow vision model scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at mental health program directors, catching the error before it becomes a change order.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at mental health program directors, writing down what only one person knows.
An optimisation engine that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, closing the loop while everyone is asleep.
Point a workflow engine at renewal management, and let people review output instead of producing it. Aimed at home care schedulers, starting from data the business already produces.
A forecasting model that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at home care compliance leads, at a tenth of what the enterprise suite charges.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at legal partners, closing the loop while everyone is asleep.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at accounting ops teams, surfacing the exposure nobody has priced.
An optimisation engine that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, replacing the spreadsheet that currently holds it together.
A narrow workflow engine scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, finding what the inspector would find, first.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at fintech cfos, replacing the spreadsheet that currently holds it together.
A document parser that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at lending loan officers, writing down what only one person knows.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at lending loan officers, finding what the inspector would find, first.
A reconciliation engine that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at construction project managers, so the work stops following people home.
Claims & appeals handled by a document parser, with a human signing rather than writing. Aimed at construction project managers, taking the phone queue off a human entirely.
Point an autonomous agent at customer support, and let people review output instead of producing it. Aimed at construction estimators, going after the low-value tail everyone else skips.
Point a document parser at shift handover, and let people review output instead of producing it. Aimed at construction estimators, replacing the spreadsheet that currently holds it together.
An anomaly detector that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at real estate owner-operators, charging only when it actually works.
A narrow optimisation engine scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, holding service constant on a smaller team.
A workflow engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at logistics warehouse teams, finding what the inspector would find, first.