Building Inc.’s cover photo
Building Inc.

Building Inc.

Real Estate

New York, New York 2,883 followers

About us

Building supports real estate owners and stakeholders with AI that preserves property knowledge, generates actionable insight, and automates critical financial workflows. Our connected platform shortens diligence cycles and enables better price discovery across real estate finance. Building, Inc. delivers digital solutions for value creation and efficiency in real estate finance. Through our system of record for assets and portfolios, Building connects market participants and their systems with standardized, verifiable property intelligence. Real-time connectivity allows private real estate to move with greater transparency, efficiency, and liquidity.

Website
https://building.inc
Industry
Real Estate
Company size
2-10 employees
Headquarters
New York, New York
Type
Privately Held

Locations

Employees at Building Inc.

Updates

  • Building Inc. reposted this

    🌇 There’s more to “Real Estate AI” than Claude and this panel in Atlanta will show you what that means. I’m excited to join an incredible speaker lineup for the AI Revolution evening event hosted by Contractors, Closers & Connections (CCC). Beyond workflow automation and underwriting, I’ll venture into new capabilities being enabled by AI, blockchain, and better data infrastructure: Continuous NAV for real estate portfolios. Monthly asset marks. Diligence packages assembled in minutes with audit trails. Dynamic capital stacks designed for liquidity. And that is just the surface. Ask me about AI agents that monitor systems for anomalies, red flags, and stakeholder activity. Or agents that reconcile data across fragmented systems long before an owner needs to bring information to a lender, investor, or buyer. ⚠️ But there is a cost to all of this. AI is only as reliable as the data, systems, governance, and integrations underneath it. Bad data leads to wrong decisions. And being wrong in real estate is expensive. Huge thanks to Christopher Maier, MBA for putting this together. See you all there. 🎟️ RSVP: https://lnkd.in/evnp5YKp 📍 Atlanta, Georgia • July 23

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  • Building Inc. reposted this

    Commercial real estate is entering a completely new era. AI. Tokenization. Digital infrastructure. Private markets. These aren't just buzzwords anymore, they're actively changing how deals are sourced, analyzed, financed, and managed. Today on The Kansas City Market Pulse, I'm joined by Matthew A. Schneider, President & CEO of Building, Inc, to talk about where the industry is headed and what these innovations actually mean for investors and commercial real estate professionals. We'll discuss: 🔹 AI's impact on commercial real estate 🔹 The promise (and reality) of tokenization 🔹 Digital infrastructure trends 🔹 Creating more transparency in CRE finance 🔹 What's next for PropTech If you've been wondering what the future of commercial real estate looks like, you won't want to miss this conversation. 📅 Today, Wednesday, July 8th 🕧 12:30 PM CT See you live! #CommercialRealEstate #PropTech #AI #ArtificialIntelligence #Tokenization #DigitalInfrastructure #Investing #CRE #KansasCityMarketPulse

    The Future of CRE: AI, Tokenization & Digital Infrastructure

    The Future of CRE: AI, Tokenization & Digital Infrastructure

    www.linkedin.com

  • Building Inc. reposted this

    Does real estate data remain fragmented by design? That was one possible takeaway from my conversation with Jose Luis Cruz, Jr on the Buildings 2.0 podcast. The issue of data siloes in real estate is complicated. Sometimes the issue is interoperability, other times it’s arbitrage. A genuine solution has to address it all. I mention how Building, Inc makes an effort to solve the fragmentation issue not by relocating every single file into a new Single Source of Truth (SSoT) but connecting existing systems with a shared language. This provides the desired synchronicity between systems and stakeholders, yet does not leak or expose the underlying files. What’s the effect on buildings? There’s upfront value from better coordination between teammates and counterparties. That’s obvious from the time savings and reduced errors. But the vision I’ve held from the inception of Building is that this transparency is pulling the real estate industry and market somewhere greener -- towards a systemic unlock of asset value and smarter cities. Enjoy the episode on YouTube: https://lnkd.in/e26e-vsn ⬇️ Spotify link in the comments

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  • Building Inc. reposted this

    Contractors, Closers & Connections (CCC) is proud to announce "The AI Revolution" as our next private event for the Commercial Real Estate Industry taking place on Thursday, July 23rd from 5:00 PM–9:00 PM @1277 Lenox Park Blvd in Buckhead. Through a first-of-its-kind reverse tradeshow experience, attendees will have direct access to AI experts, innovators, and operators who are actively leveraging artificial intelligence to automate workflows, increase efficiency, generate leads, improve marketing, streamline underwriting, reduce overhead, accelerate deal flow, and create measurable business advantages. FEATURED SPEAKERS Gabe Einhorn, Co Founder & CEO - VryfID Josh Friedensohn, Founding Partner - Greenleaf Matthew A. Schneider, Founder & CEO - Building, Inc Stephen Harrill, Founder - Ridgeline AI Amit Grover, Founder - CRE Connect Scott Oakley, EVP - TitleEase.io Adil Devshi, Co-Founder & President - Plexor CCC Atlanta Website (Request An Invitation): https://lnkd.in/gPyd3MFA

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  • 📣 We're pleased to announce we're selecting founding partners for Building, the operating system for real estate finance. Private real estate runs on data nobody can trust. Scattered, unreadable, unverifiable. This opacity is expensive. Discounts when buyers won't trust your numbers. Marks that lag what the asset is actually worth. Diligence that drags on for months. Capital you can't raise because investors are hesitant. Fix the data and most of that goes away. Here's how. 🔗 𝐃𝐀𝐓𝐀: one source of truth ‣ Connects to the software you already run ‣ Builds a verified record unique to each property 👥 𝐓𝐑𝐔𝐒𝐓: data you can defend ‣ Provenance and verification on every number ‣ Holds up in an audit and in front of an LP ‣ Set permissions on every file you share 🤖 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐂𝐄: AI you can stand behind ‣ Underwrite a deal in minutes ‣ Ask your portfolio anything, sources included ‣ Catch gaps and anomalies early ‣ Set agents to track deadlines and flag your team 📈 𝐌𝐀𝐑𝐊𝐄𝐓𝐒: your data, put to work ‣ Share verified data through built-in integrations ‣ Everyone works from the same truth ‣ Connect valuations to live-priced digital instruments ‣ A record changes, every linked workflow updates ⭐️ The results so far: 80% less time collecting and organizing files, 70% less on diligence and verification, up to 80% less middle-office work. We're opening a limited number of design partnerships for owners and operators who know this problem cold and want to fix it first. Founding partners get direct access to us and real say over what we build. Early partners also get preferred pricing and first look at what ships next. If that's you, contact Matthew Schneider.

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  • Building Inc. reposted this

    I am very excited to invite you to this X Space on Thursday, June 18th: Building the Data Layer for Real Estate 3.0 The existence of this conversation is, in my opinion, the strongest sign of maturation in real estate tokenization. We are no longer discussing how tokens work or the relevancy of blockchains. That’s mutually agreed upon. Now we are getting practical. What data exists at the property level? Who is producing it, what software can deliver it, what agents will interrogate it, and how will the market respond? This is the type of conversation that will drive institutional adoption because asset managers and fund administrators have long known that the limitations of their financial instruments (a slice of equity, a note carried by an investor) were not at the platform level. It’s a systemic issue that derives from private markets which are, literally, private. Now, when you combine the strength of Blocksquare and Brickken with operating data layers like Building, Inc and MAGMA - Real Estate Agility you receive the end-to-end connectivity to correlate the end product (tokens, shares, interests etc) with risk and price discovery corroborated by real-time, pre-verified data. If you aren’t familiar, this is the assurance that public markets offer. You can make faster investment decisions because your diligence is focused on the risk of the product, not the integrity, because the data is recent and already scrutinized by authoritative parties (auditors, for example). As a result, we will see real estate become understood and valued and eventually distributed at unprecedented speed and scale. If that piques your interest, save the date using the link in the comments. Connect with the speakers: Mark Tokuti MariampillaiDenis PΞtrovcicLudovico RossiMatthew A. SchneiderMatthieu Merchadou

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