Multi- or single-tenant·No model training on your data·SOC 2 Type II (in progress)·GDPR-aligned
Institutional real estate is re-platforming. We are the platform.
Paper to Excel, Excel to the ERP, and now the ERP to an AI-native operating system. The third shift is starting now. Read the full thesis →
Institutional real estate still runs on spreadsheets and email.
The drag hides inside your team's week. Remove it and you get back basis points of IRR, days of close time, and investor trust, every quarter.
Deal, PMS, GL, lease, and LP data live in silos that rarely talk.
Reconciling them by hand is why a simple portfolio question still takes a few days.
Analysts spend as much time consolidating data as interpreting it.
The category pays six-figure salaries to copy-paste between workbooks instead of exercising judgment.
Close and investor reporting run as quarterly sprints, not continuous capability.
The business moves weekly while reporting moves quarterly, and that gap is invisible risk.
Every source. One graph. Every output, on demand.
A normalized real estate knowledge graph spanning entities, documents, and cashflows, computed on a deterministic engine. See exactly how it works →
Plug-in, not rip-and-replace.
We orchestrate Argus, read Yardi, MRI, and Entrata, and unify your Excel models, read-only by default with writes on approval.
Math you can audit.
Every formula runs on a native calculation engine, not LLM arithmetic, and every number traces to source. That is what makes it usable for regulated capital.
Drafts, then waits.
Agents do the work on the graph and pause for approval before anything leaves your tenant. Zero autonomous external actions.
An AI teammate that already knows your portfolio.
It lives inside your data room, deal room, and books, cites every source, computes every number on the deterministic engine, and drafts the artifacts in your templates. Nothing auto-sends.
Explore the platform
Built AI · AnalystMeet Christine. Deploy AI analysts, live.
Christine is a Built AI analyst that already knows your portfolio. Deploy her, and a roster of specialists, onto your own data in minutes. Each one works on the graph, cites every source, and waits for your approval.
Onboarded on your graph, not a generic chatbot.
Christine reads your deals, books and documents through the knowledge graph, so she answers in the context of your actual assets.
Every figure traces to where it came from.
Each number she returns links to the lease, GL line or model behind it, computed on the deterministic engine, never guessed.
She drafts and computes, then stops.
Nothing leaves your tenant without a named human approving it. Zero autonomous external actions.
A catalog of agents that runs the lifecycle.
Each agent watches an event on the graph, does the work, and pauses for approval. None of them act on your behalf without a human. See the full catalog →
Offering memo to IC memo.
Watches new offering memoranda in the data room, extracts every field with a citation, runs your scenarios, and drafts the IC memo.
Every lease, abstracted.
Reads executed leases as they land, captures rent steps, options and recovery clauses, and cites each term back to the page it came from.
Breaches, before the test.
Tracks loan covenants against live actuals and forecasts DSCR and LTV breaches ahead of the test date, with a drafted lender notice.
A continuous close.
Reconciles GL actuals to source as they post and drafts accruals before the period opens, so the close is days, not weeks.
Letters that cite themselves.
Drafts each LP letter and capital-account statement in your template, with every figure traced to the fund accounting behind it.
Variance, explained.
Builds the NOI bridge, isolates the drivers, and drafts the variance narrative, with every figure traced to source.
Configured for every seat. One graph underneath.
The same operating system shows up differently for each seat. Pick yours and see the day-to-day.
Continuous variance, not quarterly archaeology.
Actuals vs. plan vs. comps in plain English with drill-through. Covenant breaches forecast before the test, not discovered after it.
ExploreFrom offering memorandum to IC memo in an afternoon.
Drop any document, extract every field with an audit trail, run your scenarios, and export a branded IC memo with every number cited.
ExploreClose in 3 days, not 10. Report live, not quarterly.
Reconciliations and accruals drafted before the period opens. Each investor logs into a branded live portal instead of waiting for a PDF.
ExploreA catalog that runs the lifecycle.
Deal Underwriter, Lease Abstractor, Covenant Watch, Close Reconciler. Each watches an event, does the work, and waits for approval.
See the catalog"Built AI is already shaping how we think about asset management. The platform automates analysis of rent rolls, cashflows, and business plans, cutting through complexity and surfacing asset-specific risks and opportunities in minutes."
The only stack this complete.
One flexible platform that customizes to your workflow replaces a stack of enterprise-priced point tools: less sprawl, lower total spend, one source of truth.
The black-box problem, and our answer.
EY calls it the black-box problem: a model whose reasoning cannot be audited is disqualified from regulated capital. Our answer is to be more auditable than the analyst-and-Excel flow we replace.
Your data stays in your tenant, you can self-host, and it never trains any model. Read the full security story →
Security & governanceRecognized across the industry.
