Buildings IOT

I spoke with Philip Russo at Commercial Observer about what we've built at Noda and why now. A year ago, the models simply weren't good enough to take on the complex workflows of building engineers on site. That's changed, and it's changed fast. Meanwhile, the industry's labor problem has kept getting worse. Commercial real estate spends $150 billion a year on building operations salaries, and only about 15 percent of open engineering roles are getting backfilled. The largest asset class in the world is running short of the people who keep it running. That's why we built our agentic AI the way we did. It works alongside the teams that own the buildings today, finding operational waste, fixing it, and verifying the financial impact on every asset, around the clock. Across our deployed portfolio, that's led to 80 percent of certain manual workflows eliminated and 0.5-2% NOI growth (all verified against measured baselines). I've been asked whether this is another story about AI taking jobs. It isn’t. In buildings, the risk actually runs the other way–there aren't enough people to do the work that already exists. AI is how the industry keeps its doors open. Thank you to Philip and the Commercial Observer team for the thoughtful conversation. Full article: https://lnkd.in/ecPwUyhk

Commercial Observer sat down with our CEO Kate Henningsen to talk about why we built the first agentic AI for commercial building operations. The core problem: every building in a portfolio is leaving NOI on the table, because no operations team has the capacity to find and fix operational waste at the speed and scale the problem demands. With only 15 percent of open building engineering roles being backfilled, that gap is widening. We designed Noda to help fill it. Our agentic AI runs alongside the team you already have, finding issues, fixing them, and verifying the financial impact across every asset, 24/7. Read the full story here: https://lnkd.in/duNVP3MS

Peak cooling season is an annual stress test for commercial buildings. Every weakness a building has been carrying since spring (the stuck economizer damper; the schedule that never got updated after the tenant fit-out) shows up at once, and the costs hit both the utility bill and the engineering team's capacity. Buildings running agentic AI finish the season differently: 15-25% energy savings, 5-15% maintenance savings, fewer hot/cold calls and happier, more comfortable tenants. The difference comes down to five practices: 1. Enter cooling season with a healthy plant. Any lingering issues will add load exactly when it costs the most. 2. Optimize the chiller daily. It can account for 30-40% of summer consumption, yet most plants run a static sequence written for design-day assumptions. Adjusting staging, setpoints, and tower speeds to actual conditions captures efficiencies that fixed sequences leave on the table. 3. Flatten the peaks that drive demand charges. They can account for 30-50% of the electric bill, and a single 15-minute interval sets them for the month. 4. Don't take a one-size-fits-all approach to indoor comfort. Most buildings run a degree or two colder than tenants need as insurance against hot calls, and every unnecessary degree costs roughly 2-3% of cooling energy. Zone-level data shows where setpoints can come up without risking complaints. 5. Verify everything, weekly. Verified savings are what keep asset management, sustainability, and lenders on board. Head to the Noda Insights blog for the full playbook: https://lnkd.in/em-TSdRH

Really great article by Lucas Turner-Owens on how agentic AI like Noda's finally makes the $11B dream possible--it closes the gap between finding the building inefficiency and fixing it. It's really exciting to see our agentic AI already driving a 2x increase in project execution and a 100% decrease in time to execute across our client's buildings. https://lnkd.in/e4FVMmCt

We're looking for a Building Systems Engineer who knows HVAC and controls deeply and can turn that into quantified, verifiable savings. Here, that expertise feeds directly into AI-driven software that helps commercial buildings run more efficiently, continuously and at scale. ⚡ Ready to build what comes next? 👇 https://lnkd.in/e3ke9QWB

Noda is heading to NexusCast next week, and if HVAC sequence optimization is on your roadmap this year, you should be there too. Nexus Labs has pulled together the playbooks of some of the industry's most effective operators into one half-day virtual event, complete with peer-to-peer roundtables. Energy leaders from Dollar Tree, UC Irvine, Texas Tech, RTX, and Lincoln Property Company will break down what's actually worked, what stalled, and what they'd do differently starting over today. Plus, you'll get to see a live demo of our agentic AI platform led by our Director of AI and Product Innovation, Jonathan Schoenfeld, P.E., and ask the Noda team anything about AI for building ops. 📅 Wednesday, June 17 | 1:00–4:00 pm ET | Virtual 🎟️ Free for building owners and operators 🔗 Register: https://lnkd.in/dHxjeP3Q

"What can agentic AI actually do for us?" means something different depending on who's asking. For engineering, it's bandwidth: relief from manual data analysis and triage, as well as the the routine fixes (like setpoint corrections, drifted schedules, and override cleanup) that no longer need human attention. For asset management, it's operational performance improvement that translates into NOI and asset value via OpEx reduction. For sustainability, it's audit-ready, continuously updated data, with verifiable proof of reported energy and emissions reductions that investors and regulators now demand. For property management, it's faster resolution of tenant issues (or predictive fixes that prevent the hot/cold call in the first place) – which can be everything in a renewal conversation. For the C-suite, it's a more defensible risk story for lenders and investors, a scalable solution to the skilled labor crunch, and the ability to defer retrofit capital by letting software capture the savings first. One platform, five very different answers. Head to the Noda Insights blog to learn more about what each function on a CRE team should actually expect from agentic AI, and the three questions doing the most work in evaluations right now. Read it here: https://lnkd.in/dnNPYedP

It's been an amazing week in San Diego at #Realcomm for many reasons, but winning a Digie Award last night was certainly among the biggest. For 27 years, the Digie Awards have recognized the companies that define what's next for real estate tech. We're honored to be on the list this year, alongside the innovators who have shaped every previous chapter. Huge thanks to our tireless Noda team on the ground Andrew Blauvelt Ken Watson Mical Anselmo Evan H., our customers, and the Realcomm community. This is the beginning of something big. If you want to see what agentic AI might look like across your portfolio, get in touch here to chat with the team ➡️ https://lnkd.in/d52QFyDV

Commercial real estate has a structural labor problem. And software has made it worse. Operators are retiring faster than they can be replaced, critical work gets outsourced to expensive contractors, and the industry's response has mostly been more dashboards and more alerts for already overloaded teams. The industry digitized the problem. We set out to solve it. Today we're publicly launching our agentic AI platform for commercial building operations. Noda connects directly to the systems that run buildings — central plants, air handling units, zone-level equipment — and executes the operational workflows itself. Identifying waste, executing fixes, validating outcomes. Continuously, without additional headcount. A year ago this wasn't possible. Over the last 12 months we took accuracy from 32% to over 99%. The result: up to ~80% reductions in certain manual workflows, measurable NOI improvement, and up to 40% peak load reduction with real implications for grid stability and decarbonization. Labor efficiency, asset performance, and energy optimization converging into the same intelligent operating layer. check it out at https://lnkd.in/e7_qzhRR