Runwise vs BrainBox AI vs 75F: The Practitioner's AI-HVAC Vendor Comparison

By Robin Chien | IPMVP-Certified | 15+ Years Managing $1.2B in Commercial Real Estate

I have evaluated all three in live building deployments. Here is what matters --- not the marketing decks, not the trade show demos, but the field performance across real buildings with real tenants and real utility bills.

The AI-HVAC market has matured into four distinct architecture types. Choosing the wrong one is the most expensive mistake you can make in this space, because it wastes 6-12 months of pilot time and poisons internal confidence in the entire technology category.

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The Four Architecture Types (Two Sentences Each)

Type 1 --- Wireless Retrofit Overlay. Hardware mounts directly on existing boilers or chillers with battery-powered sensors and cellular connectivity. No BMS required, installs in one day, approximately 20x cheaper than traditional controls.

Type 2 --- Cloud-Native BMS Overlay. Software sits on top of your existing Building Management System, reads sensor data via BACnet, and sends optimized setpoints back down. Low capex and fast deployment, but your results are capped by your existing sensor density.

Type 3 --- Zone-Level IoT. New wireless controllers and sensors installed at the room or floor level, creating a granular control mesh that overlays or bypasses BMS limitations. Higher savings potential but longer install timeline.

Type 4 --- Enterprise BMS Replacement. Full building management system replacement with integrated AI. Highest capability, highest cost, longest deployment --- justified only for large campuses or buildings where the BMS needs replacing regardless.

Head-to-Head Comparison

The Numbers Behind Each Vendor

Runwise: 10,000+ buildings deployed. $100M+ in cumulative customer energy savings. $87M+ in Local Law 97 fines avoided. Less than one day to install. Series B led by Menlo Ventures at $55M, 2x oversubscribed. Institutional customers include Related, Equity Residential, Rudin, and LeFrak.

BrainBox AI (now Trane Technologies): 4,000+ buildings globally. Acquired by Trane in January 2025. Dollar Tree deployment across 616 stores achieved 13-20% savings. Amazon Grocery pilot across 3 centers delivered approximately 15% energy reduction --- 2x their original targets --- now expanding to 30+ sites. Their ARIA generative AI assistant was named among TIME's Best Inventions.

75F: 1,800+ installations across 9 countries. $45M Series B backed by Carrier Global's venture arm. HOM Furniture in Plymouth, MN achieved 40% savings ($50K per year, 1-year payback). Firstsource Solutions saw a 45.63% AHU energy reduction. Their new Altius ES platform was previewed at AHR Expo 2026.

JCI OpenBlue: Microsoft Beijing campus achieved 27.9% energy savings with 30% chiller efficiency improvement and 98% equipment uptime. Enterprise-grade pricing and deployment timeline.

Siemens DVO: 1111 Broadway in Oakland achieved approximately 25% energy savings (without existing pressure reset) or approximately 10% incremental savings (with existing reset). Retrofit-friendly, compatible with existing BAS infrastructure.

Which One Should You Pick?

This is a decision tree, not a beauty contest.

If you manage multifamily buildings with no BMS and need fast ROI: Runwise. The cellular connectivity eliminates the WiFi infrastructure problem that plagues basement mechanical rooms. One-day install. Under 5 months payback. The subscription model means zero capex. This is the path of least resistance for buildings under 50,000 square feet with central heating or cooling systems.

If you have commercial buildings with a working BMS and want a cloud-first approach: BrainBox AI / Trane. The Trane acquisition gives them OEM distribution and service infrastructure that standalone startups cannot match. Strong fit for multi-site retail and hospitality portfolios where you already have BACnet-connected systems.

If you need granular zone-level control in multi-zone commercial spaces: 75F. Their Dynamic Airflow Balancing system recalculates load at the zone level, not the building level. Best suited for offices, retail, and schools with VAV systems where individual zone control drives the savings.

If you manage an enterprise campus with big CapEx budget and aging BMS: JCI OpenBlue or Siemens. The Microsoft Beijing and 1111 Broadway results demonstrate what is possible at enterprise scale. But budget $2-8 per square foot in capital and 3-12 months of deployment time. This is a BMS replacement project that happens to include AI, not an AI project.

The Cellular vs. WiFi Insight

This is the most counterintuitive lesson from 10,000+ building deployments: cellular connectivity beats WiFi in real buildings.

Mechanical rooms are in basements, surrounded by concrete walls and metal ductwork. WiFi signals die. Runwise solved this by embedding Verizon SIM cards in their sensors and building a patent-protected wireless mesh network that operates independently of building WiFi. Their sensors have 10-year battery life and report data every 5 minutes without a single WiFi access point.

If a vendor's deployment plan requires WiFi infrastructure upgrades in your mechanical spaces, add 30-60 days and $15,000-$40,000 to your budget. Ask about connectivity architecture before you sign anything.

The Vendor Lock-In Warning

Before signing any contract, ask one question: Who owns the data my building generates?

AI-HVAC vendors accumulate years of granular building performance data --- temperature profiles, occupancy patterns, equipment degradation curves --- that becomes extremely valuable for benchmarking, M&V, and future optimization. If the answer to the ownership question is anything other than "you do, with full export rights," you are building on rented ground.

Demand contractual data ownership, full export rights in standard formats (CSV, JSON, BACnet), API access, and a survival clause that preserves your data access for at least 12 months after contract termination. The value of a horizontal data architecture --- where your building data is vendor-independent and interoperable --- far exceeds the value of any single vendor's optimization algorithm.

Next Steps

The comparison table gets you to a shortlist. The real work is matching the vendor's architecture to your specific building profile --- HVAC type, existing infrastructure, regulatory exposure, and budget cycle.

For the full 7-step deployment framework: The AI-HVAC Pilot Guidebook covers building assessment, pilot design, IPMVP verification, and scale-up negotiation.

Not sure which vendor fits your building? Try our Vendor Match Tool [coming soon] --- input your building profile and get a ranked recommendation.

Robin Chien is an IPMVP-certified practitioner with 15+ years managing energy optimization across a $1.2B portfolio. He writes at ai-smart-buildings.com.

Related Reading: When AI Lease Abstraction Is Reliable — And When to Override It — The same vendor-agnostic evaluation framework applied to one of CRE AI most high-value use cases.