An AI investment platform for commercial real estate — sourcing, underwriting, and due diligence that used to take analysts weeks, compressed into one explainable workflow.
Commercial real estate investing still runs on PDFs, spreadsheets, and weeks of analyst time. Sourcing, underwriting, and due diligence live in disconnected tools — so by the time a deal is screened, the best opportunities are gone, or a risk buried in a lease clause on page 12 is missed entirely.
TerraPrime collapses the full deal lifecycle into one AI system. An always-on agent sources deals against the investor's thesis, an explainable model underwrites them with projected returns and red flags, and a document engine reads every OM, lease, and rent roll to surface risks and extract key terms. A predictive portfolio layer and a fractional-ownership marketplace close the loop from first look to ongoing management.
The defining principle is trust: every answer is a glass box. The copilot shows exactly how it reached a result, cites the page a number came from, and scores the confidence of each source — so an investment team can act on it, not just read it.
An always-on agent scans thousands of active listings against the investor's thesis, scores each for fit, and keeps a ranked pipeline updated through a live activity feed.
A transparent risk score across six factors, projected returns (IRR, equity multiple, DSCR), surfaced red flags, and what-if scenarios driven by interest-rate and vacancy sliders.
Models spit out a number with no reasoning, so investment teams can't defend it to a committee — and won't trust it.
By the time deals are manually screened, the best opportunities are already gone.
A termination clause on page 12 of a lease gets missed, and it only surfaces after the money's committed.
Mapped the CRE deal lifecycle and modelled how an investor thesis should drive sourcing and screening.
Built the always-on sourcing agent and data pipelines that keep a ranked deal pipeline live.
Shipped transparent underwriting scores, projected returns, and document analysis with page-level citations.
Designed the copilot and reasoning panels so every answer shows how it was derived and how confident each source is.
Closed the loop with portfolio intelligence and the fractional-ownership marketplace.
An always-on agent that scans listings against the investor's thesis and keeps a ranked pipeline updated.
Transparent risk scores, projected returns, red flags, and what-if scenarios — every factor visible.
Ingests OMs, leases, and rent rolls; extracts key terms with page-level citations and severity-flagged clauses.
Forecasts portfolio value, monitors allocation and risk, and raises AI alerts for anomalies and opportunities.
Buy fractional stakes in institutional-grade assets and trade them on a 24/7 secondary market.
Every answer shows how it was derived, cites the page a number came from, and scores source confidence.
TerraPrime sources deals against thesis, underwrites them with transparent risk and return models, extracts cited terms from deal documents, and carries the same glass-box reasoning into portfolio monitoring and fractional ownership.
Ask-anything copilot that sources deals, compares markets, and underwrites properties in natural language — with a glass-box panel showing how each answer was derived and how confident each source is.
Ingests OMs, leases, and rent rolls, extracts key terms with page-level source citations, flags risky clauses by severity, and tracks a DD checklist to completion.
Forecasts portfolio value, monitors allocation and risk, raises AI alerts for anomalies and opportunities, and recommends rebalancing moves.
Buy fractional stakes in institutional-grade assets and trade them on a 24/7 secondary market, with rental income auto-distributed to token holders via smart contract.
