Aurora - 2026 Pricing, Features, Reviews & Alternatives

Using scheduling knowledge and rules derived from artificial intelligence, Aurora was able to outperform its clients’ own self-developed software, as well as its closest competitors by reducing turnaround time by up to 30%. Rather than rely on basic scheduling parameters to determine tasks, Aurora sets attributes per task, groups of tasks, as well as (sets of) resources, and constraints. By doing so at specific intervals to ensure the ideal task will follow the most efficient sequence based on optimal time and resource allocations, it can plan for situations where resources are unavailable when the task is scheduled.

Aurora uniquely considers both resource requirements and temporal scheduling together, benefitting domains where resource requirements have range, further allowing Aurora to surpass finite capacity scheduling software. Aurora is built to automatically identify and highlight conflicts in a schedule. This data is presented clearly via various interactive displays, allowing the user to enter and edit the resource allocation, and see its data shown, i.e., a histogram chart.

Aurora uniquely considers both resource requirements and temporal scheduling together, benefitting domains where resource requirements have range, further allowing Aurora to surpass finite capacity scheduling software. Aurora is built to automatically identify and highlight conflicts in a schedule. This data is presented clearly via various interactive displays, allowing the user to enter and edit the resource allocation, and see its data shown, i.e., a histogram chart.