Find answers to common questions about CoreCast, our features, and pricing.
Can I collaborate with my team?+−
Yes. CoreCast supports team-based collaboration, allowing multiple users to evaluate deals, track pipeline activity, and manage underwriting within a centralized platform.
Can I export my data and proformas to Excel?+−
Yes. Users can export a full Excel model, custom reports, and previously uploaded rent rolls and T12 statements, ensuring complete flexibility and transparency outside the platform.
Does CoreCast have Artificial Intelligence (AI) functionality?+−
Yes. CoreCast uses AI to extract key data from offering memorandums, research comparables, and quickly generate narrative content within reports to streamline your workflow.
Can I use my own Excel model?+−
CoreCast is designed to replace fragmented spreadsheets with a standardized, scalable underwriting system. However, users can copy and paste data from their existing Excel models into CoreCast and leverage the platform’s reporting, pipeline tracking, and portfolio features for that property.
How long does it take to upload an offering memo, T12 statement, or rent roll?+−
Most documents can be uploaded and processed within minutes. CoreCast is built to significantly reduce manual data entry and accelerate deal evaluation.
Can I run scenario analysis?+−
Yes. You can adjust key assumptions such as rent growth, exit cap rate, financing terms, and hold period to instantly evaluate multiple return scenarios.
What are the unique features of the pipeline tracker?+−
CoreCast allows you to create custom pipeline stages, track days in each stage, measure conversion rates, and analyze deal flow velocity across your portfolio.
Are reports customizable?+−
Yes. Reports are professionally formatted and allow you to tailor key assumptions and outputs for internal review or investor presentations, with AI available to quickly customize narrative content.
How is my data secure or used?+−
CoreCast uses industry-leading security practices to protect sensitive financial information. Comparable data entered into the system is shared across users to strengthen the platform’s dataset, though this feature can be turned off at any time.
