RFP Responder for Logistics, Run by Long context
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
12,000 ideas match, averaging 76/100 on the opportunity score. Moat and demand dominate, feasibility barely counts. These are the ideas that are hard to build on purpose, because that is the point.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
An anomaly detector that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, closing the loop while everyone is asleep.
A narrow autonomous agent scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, writing down what only one person knows.
A forecasting model that handles renewal management end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, so the work stops following people home.
An anomaly detector that handles renewal management end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, unbundling the one module people actually use.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at logistics warehouse teams, replacing the spreadsheet that currently holds it together.
Demand forecasting handled by an anomaly detector, with a human signing rather than writing. Aimed at freight brokerage brokers, closing the loop while everyone is asleep.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at freight brokerage ops teams, catching the error before it becomes a change order.
Renewal management handled by an anomaly detector, with a human signing rather than writing. Aimed at freight brokerage dispatchers, starting from data the business already produces.
Point an anomaly detector at reconciliation, and let people review output instead of producing it. Aimed at freight brokerage dispatchers, replacing the spreadsheet that currently holds it together.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at last-mile delivery dispatchers, writing down what only one person knows.
A narrow forecasting model scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at warehousing warehouse 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 warehousing warehouse teams, catching the error before it becomes a change order.
Knowledge capture handled by a document parser, with a human signing rather than writing. Aimed at warehousing warehouse teams, surfacing the exposure nobody has priced.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at warehousing inventory planners, unbundling the one module people actually use.
Field reporting handled by a vision model, with a human signing rather than writing. Aimed at warehousing inventory planners, writing down what only one person knows.
Point a forecasting model at pricing, and let people review output instead of producing it. Aimed at manufacturing ops teams, so the work stops following people home.
Quality control handled by a forecasting model, with a human signing rather than writing. Aimed at manufacturing quality teams, so the work stops following people home.
Point a forecasting model at dispatch, and let people review output instead of producing it. Aimed at industrial services ops teams, built for one person, not a department.
Document review handled by a long-context reviewer, with a human signing rather than writing. Aimed at industrial services ops teams, at a tenth of what the enterprise suite charges.
A forecasting model that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at industrial services field supervisors, replacing the spreadsheet that currently holds it together.
An optimisation engine that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at industrial services field supervisors, closing the loop while everyone is asleep.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at energy ops teams, closing the loop while everyone is asleep.
Scheduling handled by a forecasting model, with a human signing rather than writing. Aimed at energy ops teams, proving value before anyone signs anything.