Long context RFP Responder for Logistics
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at logistics fleet owners, charging only when it actually works.
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.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at logistics fleet owners, charging only when it actually works.
A narrow document parser scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, catching the error before it becomes a change order.
A document parser that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, built for one person, not a department.
A forecasting model that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at logistics dispatchers, starting from data the business already produces.
Point an optimisation engine at maintenance planning, and let people review output instead of producing it. Aimed at logistics ops teams, built for one person, not a department.
A narrow autonomous agent scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, built for one person, not a department.
A vision model that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at logistics ops teams, going after the low-value tail everyone else skips.
Pricing handled by a document parser, with a human signing rather than writing. Aimed at logistics ops teams, so the work stops following people home.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at logistics warehouse teams, finding what the inspector would find, first.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at logistics warehouse teams, catching the error before it becomes a change order.
A narrow forecasting model scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, at a tenth of what the enterprise suite charges.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at freight brokerage brokers, proving value before anyone signs anything.
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at freight brokerage brokers, catching the error before it becomes a change order.
A narrow vision model scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at freight brokerage brokers, unbundling the one module people actually use.
A narrow anomaly detector scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at freight brokerage brokers, unbundling the one module people actually use.
An optimisation engine that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at freight brokerage ops teams, built for one person, not a department.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at freight brokerage ops teams, proving value before anyone signs anything.
Point a document parser at compliance audit, and let people review output instead of producing it. Aimed at freight brokerage ops teams, surfacing the exposure nobody has priced.
Knowledge capture handled by a document parser, with a human signing rather than writing. Aimed at freight brokerage ops teams, starting from data the business already produces.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at freight brokerage dispatchers, surfacing the exposure nobody has priced.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at last-mile delivery ops teams, holding service constant on a smaller team.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at last-mile delivery dispatchers, taking the phone queue off a human entirely.