RealTime is the data foundation — the performance-management platform of record for institutional CRE, in production for over a decade across portfolios totalling tens of billions in AUM. Insights is the live read across it, with Insights AI sitting on top to flag stressed assets and walk the reasoning.
RealTime simplifies the complex process of setting budget and underwriting assumptions, comparing them to actual outcomes, and analysing performance gaps. It allows managers to provide detailed narratives to explain missed targets, enables reforecasting of assumptions, and delivers professional, comprehensive reports at both the asset and portfolio level.
Whether your portfolio is five assets or five hundred, RealTime orchestrates and automates CRE performance management from start to finish, across all stakeholders and sources.
Set budget and underwriting assumptions, compare to actual outcomes, analyse the variance — with the audit trail attached to every figure.
Commentary lives next to the lease, project, or line item it explains. Reforecast assumptions in place. Audit who wrote what, when.
Map each owner or investor schema once. Every future period conforms automatically — no manual reconciliation, no parallel spreadsheets.
Daily or monthly pulls of rent rolls, leases, arrears, and capital projects. Data structured and organised before the user opens the app.
Route reports through internal approvals before publishing. Every step audited, every change attributed.
Drill from the portfolio dashboard down to the unit-level lease — and back up — without leaving the app.
Operators publish their forecast, commentary, and plan-to-actual updates from RealTime. Insights surfaces them with the operator’s own voice preserved — no second-source reconciliation, no curated PDF.
Insights AI reads every operator’s plan against actuals, flags the patterns that precede distress, and produces a ranked, LP-grade risk read across the entire book. Bring your own model — Claude, ChatGPT, Gemini, or a custom agent — over a secure, read-only data layer.
When a stressed asset is caught in the quarter it starts to drift, the room to act is wide: restructure debt before the covenant trips, renegotiate a lease before the lawyers are in the room, replan CapEx, work the property out.
Caught a quarter later, the options narrow. Caught at year-end, you’re writing it down.
Every period, every asset, every operator. The AI compares to the prior period and ranks what needs attention.
Every flag comes with the why: which signals fired, over how many periods, with the source figures linked back to the underlying data.
Standard MCP endpoint with OAuth 2.1 + PKCE. Claude, ChatGPT, Gemini, Grok, Cursor, custom agents — anything that speaks MCP.
Every environment runs on a customer-hosted database. Concatenate never sees your data at rest.
Encryption at rest with keys you control. SOC 2-aligned controls. Tokens short-lived, revocable, auditable.
Sections, assets, portfolios gated independently. An LP scoped to one fund sees only that fund.
MCP over OAuth 2.1 + PKCE — the same model used by Claude, ChatGPT, and Gemini connectors.
A 30-minute walkthrough on a sample portfolio: data flows up from the property, narrative attached at the asset, AI flags at the portfolio, LP collaboration at the top.