Compare

Framecast vs Built AI

A London-based AI platform that extracts data from deal documents and Argus files to generate cash-flow models.

Built AI (builtai.co) is a separate company from Built Technologies (getbuilt.com), a construction-lending platform — they are not affiliated.

Framecast

Source-traced underwriting across the whole data room

Framecast turns a full CRE data room into an institutional-grade, source-traced underwriting model — reconciling rent rolls against leases, extracting T-12s and diligence documents, and tracing every figure back to its source page.

Built AI

AI acquisitions & asset-management modeling

Built AI uses machine learning to extract data from brochures, rent rolls, offering memoranda and Argus files and generate detailed cash-flow models for acquisitions and asset/portfolio management. It is London-based, raised a $6M seed in December 2025, and lists clients including CBRE and Knight Frank IM. Built AI claims a 90% reduction in analysis time and 10× faster screening (vendor figures).

Side by side

Framecast and Built AI, compared

FramecastBuilt AI
Core capabilitySource-traced underwriting + diligence workspaceML extraction → cash-flow models
Argus file ingestionYes
Rent-roll ↔ lease reconciliationYes, automated
Source traceabilityEvery figure clickable to its source pageAuditable models (vendor description)
Primary marketNorth AmericaUK / Europe

The difference

Why Framecast wins

Both tools auto-build models from deal documents. Framecast's emphasis is source-traced diligence — every number is clickable back to its source page — inside a unified workspace that adds document classification, rent-roll-to-lease reconciliation, tabular reviews and a chat agent over the data room, oriented to the North American market and multiple asset classes.

The verdict

For North American teams, Framecast is the stronger pick. Both auto-build models from documents, but Framecast pairs that with clickable source-traceability on every number and a full diligence workspace — classification, rent-roll-to-lease reconciliation, tabular reviews and a data-room chat agent. Choose Framecast for defensible, end-to-end underwriting.

Sources (as of June 2026): www.builtai.co

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