Automated Contract Analyser for Education
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at education ops teams, so the work stops following people home.
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 retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at education ops teams, so the work stops following people home.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at education ops teams, taking the phone queue off a human entirely.
An anomaly detector that handles asset tracking end to end and hands a human the exceptions rather than the queue. Aimed at trade schools registrars, 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 trade schools registrars, catching the error before it becomes a change order.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at trade schools program directors, writing down what only one person knows.
A reconciliation engine that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at trade schools program directors, surfacing the exposure nobody has priced.
Point a vision model at quality control, and let people review output instead of producing it. Aimed at trade schools owner-operators, unbundling the one module people actually use.
A geospatial model that sits beside the existing system, reads what it already produces, and closes site selection. Aimed at trade schools owner-operators, proving value before anyone signs anything.
Point a forecasting model at quoting & estimating, and let people review output instead of producing it. Aimed at childcare owner-operators, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at childcare owner-operators, proving value before anyone signs anything.
Compliance audit handled by a document parser, with a human signing rather than writing. Aimed at childcare owner-operators, proving value before anyone signs anything.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at childcare owner-operators, at a tenth of what the enterprise suite charges.
An anomaly detector that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at childcare program directors, charging only when it actually works.
Quoting & estimating handled by a forecasting model, with a human signing rather than writing. Aimed at childcare office managers, at a tenth of what the enterprise suite charges.
Training & competency handled by a forecasting model, with a human signing rather than writing. Aimed at childcare office managers, replacing the spreadsheet that currently holds it together.
A narrow document parser scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at childcare office managers, built for one person, not a department.
A narrow workflow engine scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at childcare office managers, at a tenth of what the enterprise suite charges.
A narrow retrieval engine scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at nonprofits program directors, finding what the inspector would find, first.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at government program directors, charging only when it actually works.
Quality control handled by an anomaly detector, with a human signing rather than writing. Aimed at government program directors, charging only when it actually works.
Point an anomaly detector at reconciliation, and let people review output instead of producing it. Aimed at government program directors, 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 government compliance leads, built for one person, not a department.
A voice agent that sits beside the existing system, reads what it already produces, and closes shift handover. Aimed at government compliance leads, catching the error before it becomes a change order.
A voice agent that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at government compliance leads, charging only when it actually works.