Enterprise Privacy & Security
At ScrubPlan, we recognize that AI has the potential to improve productivity, quality, and accuracy in the construction industry. We are committed to adopting and using AI technologies responsibly and in alignment with our dedication to high quality results
Customer Data
We do not use customer data for training or improving the ScrubPlan models. The models have been developed from publicly available knowledge on the internet and information our researchers have generated. By default, we do not train on any inputs or outputs from customer accounts.
For publicly available internet content, only information that is openly accessible is used to create and refine our models. Filters to remove material we do not want to be included are then applied.
ScrubPlan’s material database is developed from information our researchers have developed or generated. This model is refined through ScrubPlan’s research and development teams and trusted 3rd party partnerships.
Accountability and Continuous Improvement
We maintain clear roles and responsibilities for the oversight and governance of AI systems including human oversight and intervention where necessary
Recognizing accuracy is an ongoing process, we adopt an iterative approach to deployment. New models begin with smaller scale releases, feedback collection, and continuous improvement before expanding to a wider audience.
Security
Data encryption at rest and in transit between our customers and us, and between us and our service providers
For eligible customers, we offer data residency to help your organization meet regional compliance needs.
We integrate explicit policies into model training to ensure the AI behavior aligns with construction standards and pricing practices.
AI will augment but not replace human expertise in construction. Project managers, supervisors, and estimators will oversee AI outputs, verify results, and maintain final authority over project decisions.
Our access to customer data stored within our systems is limited to authorized employees that require access for engineering support, platform abuse and legal compliance.