Aurivus

Start with a real site, drawing set, or design brief whose constraints are already understood. Enter the dimensions, program, performance goals, and non-negotiable rules before asking the system to generate or analyze alternatives.

Use Aurivus to produce a first set of insights, options, detections, or forecasts for its core workflow: AI point-cloud and building-data platform for extracting structured information from laser scans and reality-capture data. Review the underlying inputs and compare important outputs with field observations, drawings, meters, market records, agronomic evidence, or other authoritative domain data.

Track exceptions rather than only successful examples. Record false positives, missed issues, forecast error, model drift, and cases where staff override the recommendation. For automated equipment or building controls, use staged permissions and make changes reversible. For property and investment decisions, independently verify title, condition, zoning, financial, and market assumptions.

Before scaling, confirm integrations, access controls, retention, sensor or imagery requirements, data licensing, geographic coverage, auditability, and operational ownership. Use the provider's current pricing and contract terms rather than assuming a plan remains unchanged.