Data loops and workflow lock-in that compound. Slower to start, much harder to copy. 2,022 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.
A narrow reconciliation engine scoped to margin monitoring alone — no platform, no migration, no six-month rollout. Aimed at manufacturing ops teams, catching the error before it becomes a change order.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at manufacturing ops teams, so the work stops following people home.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at manufacturing ops teams, taking the phone queue off a human entirely.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at manufacturing quality teams, going after the low-value tail everyone else skips.
A forecasting model that sits beside the existing system, reads what it already produces, and closes inventory planning. Aimed at manufacturing quality teams, finding what the inspector would find, first.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes document review. Aimed at manufacturing quality teams, at a tenth of what the enterprise suite charges.
Point an optimisation engine at maintenance planning, and let people review output instead of producing it. Aimed at manufacturing maintenance leads, at a tenth of what the enterprise suite charges.
An anomaly detector that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at manufacturing maintenance leads, at a tenth of what the enterprise suite charges.
Margin monitoring handled by an anomaly detector, with a human signing rather than writing. Aimed at manufacturing maintenance leads, holding service constant on a smaller team.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at manufacturing maintenance leads, closing the loop while everyone is asleep.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at industrial services owner-operators, surfacing the exposure nobody has priced.
Point a forecasting model at scheduling, and let people review output instead of producing it. Aimed at energy ops teams, holding service constant on a smaller team.
A narrow anomaly detector scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at energy ops teams, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at energy ops teams, starting from data the business already produces.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at energy compliance leads, unbundling the one module people actually use.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at energy compliance leads, proving value before anyone signs anything.
Training & competency handled by a forecasting model, with a human signing rather than writing. Aimed at energy compliance leads, finding what the inspector would find, first.
Incident reporting handled by a document parser, with a human signing rather than writing. Aimed at energy compliance leads, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at energy compliance leads, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at energy asset managers, starting from data the business already produces.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at energy asset managers, unbundling the one module people actually use.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at energy asset managers, unbundling the one module people actually use.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at energy asset managers, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at energy asset managers, catching the error before it becomes a change order.