One private, owned AI Brain that takes in every lease, T-12, rent roll, OM, invoice, work order, and tenant message across your portfolio, then turns them into instant answers, automated reports, and proactive alerts. One Brain across multifamily, office, industrial, retail, and mixed-use. Built on your data, owned by you.
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The same platform is already running real work for nBrain clients.
Regal Technology Partners has shared its story publicly. Other results are anonymized to protect client confidentiality. Read the customer stories
What you know about your portfolio lives in five different systems, three different property managers, and a few hundred PDFs. Here's what that costs you.
Every lease, OM, T-12, rent roll, estoppel, SNDA, loan document, COI, and inspection report is a PDF. Searching them means opening them one at a time. Off-the-shelf PDF tools don't carry context across deals, so every analysis starts from zero.
Yardi on the West Coast portfolio. AppFolio on the value-add multifamily. RealPage on the new acquisition. MRI at the Class A office. Your portfolio data is split across vendors who don't share it with each other.
Most CRE AI tools are built for property managers, brokers, or vendors selling to your operators. Your priorities as the owner, capital preservation, NOI growth, distributions, and asset performance, get filtered through someone else's product and roadmap.
When an asset manager pastes a lease into ChatGPT, confidential rent terms, tenant identities, and deal economics go to a public service. For institutional capital, anchor LPs, and lenders, that's a non-starter and a real legal exposure.
Your data stays inside your environment. The pre-trained models sit outside it and only see the passages a task needs, never your whole library. The Brain orchestrates the two, and your data never trains a public model.
Every Brain we build is made of focused agents: purpose-built AI workers tied to a real owner workflow. These are the eight we deploy first for building owners, and each one ships against a measurable business KPI.
Abstracts every lease in your portfolio in hours, not weeks. Surfaces critical dates (renewals, options, terminations, rent steps), exposure caps, and unusual clauses. Drafts estoppels, SNDAs, and lease summaries on demand.
Parses OMs, T-12s, rent rolls, and OS reports the moment they arrive. Benchmarks them against your comps and your underwriting model. Drafts the IC memo in your house style, with sources cited and assumptions flagged.
Multilingual tenant Q&A across the portfolio: lease terms, amenities, payments, and maintenance status. Triages maintenance requests and routes them to the right vendor. Nurtures renewals before they go cold.
Matches every invoice to GL accounts, reconciles against budget, and tests it against each tenant's pass-through clauses. Flags exclusions, caps, and gross-ups. Produces tenant-ready CAM recs your PM can send.
Drafts quarterly LP letters, distribution memos, asset-level reports, and K-1 commentary in your house style. Pulls data from Yardi, AppFolio, or MRI, adds the narrative, and cites every number to the source ledger.
Compares vendor bids against your historical pricing and scope. Reviews change orders against the original contract. Tracks schedule, draws, and lien releases, and scores vendors across projects.
Tracks rent regulation, fair housing, ADA, environmental, and local rules in each market. Cross-checks your lease library and operating practices, and flags exposure before a tenant or auditor does.
Tracks every COI across tenants and vendors and flags expirations and limit shortfalls. Reads broker emails and policy documents, and maps lender insurance covenants to the coverage actually in force.
Outcomes describe what each agent is built to do. We measure your baseline at the start of the build, so results are reported against your own numbers.
We don't replace your operating systems, we connect them. Your Brain reads from and writes to whatever you already have. A partial list of what the Brain connects to:
Focused discovery, not a slide deck. You talk to the people who build and run these platforms for owners, not a sales engineer.
Owners aren't buying chatbots. They're buying a durable knowledge layer over a real estate business that already exists. The Brain reads every document the portfolio produces and turns it into answers, reports, and alerts, without an army of analysts.
Building owners are stepping past the SaaS PropTech wave and going straight to private platforms they control. Here's the difference, line by line.
| Capability | SaaS PropTech AI | nBrain owner Brain |
|---|---|---|
| Data ownership | RentedThe vendor's database, the vendor's cloud, the vendor's terms | OwnedYour tenant, your cloud, your IP |
| Model training on your data | OftenBuried in the ToS or DPA fine print | NeverPre-trained models only; your data never leaves your boundary |
| Customization | LimitedSettings in an admin panel | Open-endedNew agents, prompts, and workflows are yours to build |
| Integrations | BoundedLimited to the vendor's API list | OpenWhatever you run: Yardi, AppFolio, MRI, or custom |
| Pricing model | Per seatCost grows with headcount | No seatsA build that starts at $40,000, then your own cloud and model usage, billed direct at list price with no markup |
| Competitive moat | SharedThe same product your competitors can buy tomorrow | CompoundingBuilt on your data, so it can't be replicated |
| Exit and portability | LockedData is hard to extract and switching is painful | PortableThe source code and data are yours; take it in-house any time |
Most clients see their first production agent, usually lease intelligence or CAM reconciliation, running on real portfolio data within 30 to 60 days. Phase 1 stands up the Brain, connects one to three data sources, and ships the first agent against a real business KPI. We don't build sandbox demos; we build against your data with proper guardrails from day one.
No. The Brain reads from your existing property management system and writes back to it where that's useful. The Brain connects to Yardi, AppFolio, MRI, RealPage, and Entrata for owner-operators running mixed portfolios. The point is one Brain across all of them, not a forklift migration.
Yes, and they're often the people pushing for it. The architecture is private (your data never leaves your boundary), owned (the platform and IP are yours), and auditable (every output cites its source). Lenders and LPs prefer that over "we paste lease terms into ChatGPT."
Many owners run a mix of in-house and third-party PMs. The Brain sits at the owner level, above your PMs, so you get one portfolio view no matter who operates each asset. PMs can get scoped access if that's useful; the system of record stays with you.
Vendor AI is built for the vendor's product and the vendor's roadmap, and your competitors get the same capability the day they sign. An owner Brain is built on your documents, your tenants, your deal history, and your house style, and it compounds in value the longer it runs. It's a strategic asset on the balance sheet, not a SaaS line item.
nBrain operates the Brain for you under an ongoing engagement: model upgrades, new data sources, new agents, prompt tuning, monitoring, and support. You hold the keys. If you ever want to bring it fully in-house, you can, because the source code, configurations, and data are yours.
Builds start at $40,000, and a typical build takes about three months. We scope yours on the first call once we know your portfolio, asset classes, and priority use cases. Running costs, your own cloud and model accounts, are billed to you directly at list price with no markup, and routing each task to the right model cuts model costs by about 65%. There's no per-seat charge, so adding analysts, asset managers, or PMs doesn't grow your AI bill.
We're model-agnostic. The orchestration layer routes each task to the right model: GPT-6 Astra for general reasoning, Claude Opus 5.5 for long-context lease and contract review, Gemini 4 Argon for multi-modal work like drone footage, drawings, and photos, and specialized models for transcription, embeddings, and OCR. Open-source models such as Llama, Mistral, and Qwen can run privately when needed. We swap in newer models as they're released, without you rebuilding anything.
Stop renting AI your competitors can rent tomorrow. In one strategy session we map your portfolio, pick the highest-leverage first agent, and walk you through the architecture. No deck, just the people who build these.
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