12,000 ideas match, averaging 73/100 on the opportunity score. For people whose advantage is knowing an industry from the inside. Ranked so that domain-heavy, unglamorous workflows rise rather than sink.
Collections handled by a forecasting model, with a human signing rather than writing. Aimed at healthcare department heads, catching the error before it becomes a change order.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at dental clinic admins, finding what the inspector would find, first.
Contract analysis handled by a document parser, with a human signing rather than writing. Aimed at dental clinic admins, taking the phone queue off a human entirely.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at life sciences study leads, starting from data the business already produces.
A narrow forecasting model scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at life sciences compliance leads, so the work stops following people home.
Onboarding handled by a document parser, with a human signing rather than writing. Aimed at home care agency owners, unbundling the one module people actually use.
A narrow anomaly detector scoped to permit & licence tracking alone — no platform, no migration, no six-month rollout. Aimed at home care schedulers, so the work stops following people home.
A narrow retrieval engine scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, finding what the inspector would find, first.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at legal partners, writing down what only one person knows.
A narrow forecasting model scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at legal paralegal teams, at a tenth of what the enterprise suite charges.
A narrow forecasting model scoped to route planning alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, finding what the inspector would find, first.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at insurance underwriters, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, built for one person, not a department.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at fintech cfos, at a tenth of what the enterprise suite charges.
A document parser that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at fintech ops teams, built for one person, not a department.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at fintech compliance leads, catching the error before it becomes a change order.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at fintech compliance leads, proving value before anyone signs anything.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at lending loan officers, starting from data the business already produces.
Expense review handled by a document parser, with a human signing rather than writing. Aimed at wealth management advisors, built for one person, not a department.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at wealth management advisors, writing down what only one person knows.
A forecasting model that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at construction project managers, proving value before anyone signs anything.
A document parser that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at construction project managers, charging only when it actually works.
Invoicing handled by a workflow engine, with a human signing rather than writing. Aimed at construction ops teams, writing down what only one person knows.