Reconciler Built for Ops Teams
Reconciliation handled by an anomaly detector, with a human signing rather than writing. Aimed at government ops teams, catching the error before it becomes a change order.
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.
Reconciliation handled by an anomaly detector, with a human signing rather than writing. Aimed at government ops teams, catching the error before it becomes a change order.
A narrow forecasting model scoped to demand forecasting alone — no platform, no migration, no six-month rollout. Aimed at government ops teams, proving value before anyone signs anything.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at public safety department heads, charging only when it actually works.
A narrow autonomous agent scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at public safety ops teams, closing the loop while everyone is asleep.
A document parser that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at public safety compliance leads, writing down what only one person knows.
Point a forecasting model at dispatch, and let people review output instead of producing it. Aimed at staffing agency owners, built for one person, not a department.
Incident reporting handled by a voice agent, with a human signing rather than writing. Aimed at staffing ops teams, going after the low-value tail everyone else skips.
Vendor management handled by a workflow engine, with a human signing rather than writing. Aimed at franchising franchisees, taking the phone queue off a human entirely.
Field reporting handled by a vision model, with a human signing rather than writing. Aimed at franchising franchisor ops, writing down what only one person knows.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at franchising franchisor ops, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at franchising field supervisors, writing down what only one person knows.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at franchising field supervisors, surfacing the exposure nobody has priced.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at landscaping estimators, replacing the spreadsheet that currently holds it together.
A document parser that handles pricing end to end and hands a human the exceptions rather than the queue. Aimed at telecom compliance leads, finding what the inspector would find, first.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at dental practice owners, closing the loop while everyone is asleep.
Point an anomaly detector at vendor management, and let people review output instead of producing it. Aimed at dental practice owners, finding what the inspector would find, first.
A narrow document parser scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at dental office managers, surfacing the exposure nobody has priced.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at dental clinic admins, built for one person, not a department.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at veterinary practice owners, taking the phone queue off a human entirely.
Point a voice agent at intake & triage, and let people review output instead of producing it. Aimed at veterinary technicians, so the work stops following people home.
A narrow forecasting model scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at veterinary technicians, starting from data the business already produces.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at life sciences study leads, finding what the inspector would find, first.
A narrow reconciliation engine scoped to margin monitoring alone — no platform, no migration, no six-month rollout. Aimed at life sciences study leads, closing the loop while everyone is asleep.