Framecast

Framecast ingests the documents in a commercial real estate data room — leases, rent rolls, financials — and delivers extracted data, answered questions, and deal models through a chat-based interface named Walt. The core workflow is a frame: documents are loaded, Walt reconciles them into a structured analysis, and the team interacts with the output through natural-language queries rather than manual spreadsheet entry. The vendor describes deliverables as institutional-grade, with persistent models that update when new documents arrive instead of requiring a rebuild.

The differentiating claim is the shift in analyst time allocation. The vendor states that analysts currently spend 60–80% of their time on data entry; Framecast repositions that time toward decision-making. Persistent models also address a specific knowledge-retention problem: when an analyst leaves, the documented deal logic stays in the platform rather than walking out with them.

Framecast is purpose-built for four workflows — screening and underwriting acquisitions, monitoring portfolio performance and lease risks, sizing and stress-testing debt, and producing offering memoranda for brokerage. Where it breaks is equally specific: the platform is a chat-based extraction and analysis tool, not an autonomous agent. Workflows that require branching conditional logic or multi-step automated execution still require a person at the wheel for each stage. Teams evaluating this for fully automated pipeline execution will need to look elsewhere.

On the security side, the vendor holds SOC 2 Type II certification, processes documents in isolated encrypted environments, applies encryption in transit and at rest, and offers granular access controls with full audit trails. The vendor states explicitly that customer documents are never used to train its models — a material consideration for firms handling confidential acquisition data.