Major organizations with demanding schedules like Boeing (787 production), NASA (space mission planning), Massachusetts General Hospital (residency scheduling), and automotive manufacturers.

How does Aurora handle last-minute schedule changes?

Aurora is built for dynamic scheduling. It continuously re-optimizes the schedule in response to real-time disruptions, such as equipment failure or task delays, to maintain overall efficiency.

Is Aurora a generic project management tool?

No. Aurora is a specialized constraint-based planning and scheduling system. It excels at complex resource allocation problems but is not intended for simple task tracking or general project management.

What is the core technology behind Aurora?

It utilizes a sophisticated constraint-based reasoning engine combined with AI techniques like heuristic search and optimization algorithms to generate feasible, optimal schedules within complex rule sets.

Does Aurora support Critical Chain Project Management (CCPM)?

Yes. The company offers a dedicated product variant called Aurora-CCPM which integrates their scheduling AI with the principles and methodology of Critical Chain Project Management.

What are the typical deployment models for Aurora?

Deployments are often customized for specific domains. It can be installed on-premise, and they also offer specialized variants like 'Aurora-SchAAS' (Scheduling as a Service). Integration requires consulting with Stottler Henke.

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Aurora

Aurora is an AI-based scheduling and planning system designed to solve complex resource allocation problems. It creates dynamic, optimized schedules that adapt to real-time changes and constraints, making it suitable for high-stakes environments like manufacturing, aerospace, and healthcare. The system uses constraint-based reasoning and optimization algorithms to generate feasible schedules that meet demanding operational requirements. Targeted at large enterprises and government agencies, Aurora is deployed for production scheduling (e.g., Boeing 787), mission planning (NASA), clinical rotations (Mass General Hospital), and test scheduling. It excels in domains with numerous interdependent tasks, limited resources, and evolving constraints.

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Sep 22, 2026

AI SchedulingConstraint-basedProject ManagementNASA ProvenEnterprise Focus

Product information

Everything worth knowing about Aurora

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Intelligent Scheduling

AI-powered scheduling for complex resource allocation and production planning.

Dynamic Adaptation

Schedules adapt in real-time to variations and constraints.

Critical Chain Project Management (CCPM)

Project management tool focused on resource constraints and buffer management.

Resource Scheduling as a Service (SchAAS)

Cloud-based service for intelligent resource scheduling.

Technical capabilities

Constraint-Based Reasoning Engine

Core AI engine uses constraint satisfaction and optimization algorithms.

Heuristic Search Algorithms

Employs heuristic search for finding feasible and optimal schedules.

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Who uses it

Real use cases, no hype

Complex Project Scheduling

Generate and manage dynamic schedules for large-scale projects with countless constraints and interdependencies.

Resource Allocation Optimization

Assign personnel, equipment, and assets to tasks while optimizing for efficiency and meeting strict requirements.

Medical Staff Rotation Planning

Schedule clinical rotations, on-call shifts, and clinic hours for residency programs and hospital staff.

Manufacturing & Assembly Line Planning

Prioritize production tasks and adapt assembly schedules to real-time variations on the factory floor.

Space Mission & Ground Operations

Plan and schedule complex ground operations, launch sequences, and satellite constellation management.

Crash Test & Simulation Campaign Management

Streamline the planning and execution of required crash tests and safety simulations, reducing overall costs.

What's great

Proven in high-stakes environments (NASA, Boeing, Mass General)
AI-driven dynamic scheduling adapts to real-time changes
Solves complex, constrained resource allocation problems
Domain-specific deployments available (e.g., aerospace, healthcare)

Technical strengths

Specialized constraint-based reasoning engine for scheduling
Supports Critical Chain Project Management (CCPM) methodology

Where it falls short

Specialized enterprise software; likely high cost and long sales cycle
Limited public information on modern integration/API capabilities
Niche tool, not for general-purpose project management
Documentation and community resources appear sparse for developers

Technical limitations

Steeper learning curve than generic SaaS scheduling tools
Deployment may require significant configuration and consulting

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

Aurora is an AI-based scheduling and resource allocation software system. It's designed to solve complex, constrained planning problems that traditional methods can't handle.