Proposal Builder Built for Schedulers
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at home care schedulers, starting from data the business already produces.
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.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at home care schedulers, starting from data the business already produces.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at home care compliance leads, finding what the inspector would find, first.
A narrow long-context reviewer scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, finding what the inspector would find, first.
A narrow document parser scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at legal partners, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at legal partners, closing the loop while everyone is asleep.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at accounting firm owners, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at accounting partners, catching the error before it becomes a change order.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at accounting partners, starting from data the business already produces.
Quality control handled by an anomaly detector, with a human signing rather than writing. Aimed at accounting ops teams, so the work stops following people home.
A narrow document parser scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at insurance agency owners, holding service constant on a smaller team.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at insurance claims teams, catching the error before it becomes a change order.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at fintech cfos, starting from data the business already produces.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at fintech cfos, closing the loop while everyone is asleep.
Incident reporting handled by a document parser, with a human signing rather than writing. Aimed at fintech ops teams, finding what the inspector would find, first.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at fintech compliance leads, unbundling the one module people actually use.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at lending loan officers, finding what the inspector would find, first.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at lending loan officers, proving value before anyone signs anything.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at lending underwriters, 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 lending ops teams, charging only when it actually works.
Point an anomaly detector at inventory planning, and let people review output instead of producing it. Aimed at lending ops teams, at a tenth of what the enterprise suite charges.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at lending ops teams, holding service constant on a smaller team.
A forecasting model that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at construction project managers, surfacing the exposure nobody has priced.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at construction project managers, so the work stops following people home.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at construction project managers, holding service constant on a smaller team.