Now Accepting Founding Customers

Predict Equipment Failures Before They Happen

AssetIQ connects to your existing BMS — any vendor, any protocol — and turns raw sensor data into AI-generated work orders that get smarter with every repair. No rip-and-replace. No IT headaches. Deployed in days.

Proven
Degradation Models
Built on thermodynamic and vibration analysis validated against real equipment data
7-14
Days Early Warning
Catch problems in the curve before they become emergencies
24/7
Continuous Monitoring
Every connected system, every metric, around the clock

Building Maintenance Is Broken

Critical equipment fails because the warning signs are buried across a dozen vendor dashboards. The data exists — it's just fragmented, siloed, and impossible to act on.

Fragmented Systems

Your electrical, plumbing, fire safety, and HVAC systems each speak a different language. Critical patterns that span systems go undetected because the data lives in silos.

Reactive Maintenance

By the time you know something is wrong, it's already an emergency. Unplanned downtime costs 3–10x more than scheduled repairs¹ — and that's before the business impact.

Vendor Lock-In

Every manufacturer wants you on their dashboard, their ecosystem, their service contracts. You end up with six logins, six views, and zero unified intelligence.

The real cost isn't the repair — it's the cascade. One critical equipment failure on a Friday afternoon can displace tenants, void SLAs, and trigger insurance claims. Prevention is always cheaper.

¹ U.S. Department of Energy, Operations & Maintenance Best Practices Guide, Release 3.0, prepared by Pacific Northwest National Laboratory (PNNL), 2010.

Intelligence That Actually Works

AssetIQ isn't just another dashboard. It's a vendor-agnostic, closed-loop system that works with your existing BMS, CMMS, and IoT sensors — regardless of manufacturer — and learns from every maintenance outcome.

AI-Generated Work Orders

Real-time data combined with OEM manual context generates technician-ready work orders with diagnostics, parts lists, and safety procedures.

Closed Feedback Loop

Completed work orders feed back into the learning system, continuously refining predictions and reducing false positives with every repair.

Bolt-On, Read-Only

Edge devices connect alongside your existing BMS in read-only mode. Cellular backhaul — no IT approvals, no network changes.

Config-Driven Scaling

Add equipment through cloud configuration updates — no truck rolls. The platform intelligence grows with every site.

Multi-Site Fleet View

Manage every building from a single platform. One dashboard, one login, full visibility across your entire portfolio — whether it's 3 sites or 300.

Role-Based Access

Vendors, suppliers, and contractors see only the equipment they manage. Your team sees everything. Access is scoped by role, so the right people get the right data — nothing more, nothing less.

Oil Pressure Trend — Equipment #4Degradation Detected
Oil Pressure Trend — Equipment #455 PSI50 PSI45 PSIWeek 1Week 2Week 3Week 4THRESHOLD
Predicted maintenance window: 8-12 daysFull data transparency — no black boxes

Deployed in Days, Not Months

Our standardized approach means predictable installs and fast time-to-value. No disruption to your operations.

Step 01

Site Assessment

Quick go/no-go evaluation: BACnet/IP, Modbus, or other protocols present? Existing BMS cabling we can tap into? You're ready for deployment.

Step 02

Edge Deployment

Standardized hardware installed in under 4 hours. Read-only connection to existing controllers. Cellular backhaul — no IT involvement required.

Step 03

Cloud Configuration

Config file defines protocols, devices, and variables. Remote commissioning validates data flow. Adding equipment is a config update, not a truck roll.

Step 04

Intelligence Activated

Predictive analytics begin immediately. AI-generated work orders flow to your team. The learning loop engages — getting smarter with every outcome.

Interactive Walkthrough

Step through the end-to-end workflow — from raw sensor data to AI-generated maintenance actions.

Built by Engineers, Not a Sales Team

Jason Tatum — Co-Founder
Co-Founder

Jason Tatum

MEP & Plant Engineering

Mike Boggs — Co-Founder
Co-Founder

Mike Boggs

Electrical Contracting & Operations

Between us, we bring nearly 70 years on the front lines of building systems — Jason from the plant engineering and MEP design side, Mike from decades of electrical contracting and responding to the emergency calls when equipment fails. We've both seen the same problem from different angles: buildings generate valuable data, but it's scattered across too many systems for anyone to connect the dots in time. AssetIQ started with a simple idea: what if one platform could pull all of that together? That's what we're building.

Limited Spots Available

Join Our Founding Customer Program

We're deploying with a small group of forward-thinking facilities in Q2 2026. Founding customers get hands-on implementation support, direct access to the product team, and preferred pricing.

Direct Team Access

Work directly with the founders and engineering team throughout deployment.

Priority Implementation

Hands-on support from day one. We deploy with you, not just for you.

Preferred Pricing

Lock in founding customer pricing that reflects the value of your early partnership.

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Week 1

Assessment

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Week 3

Deployed

3

Week 4

First Insights

Limited spots available for Q2 2026 deployment.