Peak Amp Intelligence
Peak Amp provides equipment risk intelligence for facility teams by analyzing existing building automation, maintenance, and asset data to detect early signs of equipment failure. The platform learns normal operating patterns, scores deviations by risk, and delivers a prioritized work list with evidence and recommended next steps. It works with existing BAS and CMMS systems without requiring new hardware and is built on AWS.
- Data & Analytics
- Property Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Building automation systems generate constant alarms, while work orders and asset records live in separate systems, making it difficult for facility teams to identify which equipment actually needs attention. Warning signs of equipment failure are spread across these disconnected data sources, and teams lack the time to connect them. As a result, important issues get missed, institutional knowledge is lost, and repair and replacement budgets are set without supporting data.
Solution
Peak Amp ingests data from building automation systems, work orders, sensors, meters, and asset records to learn how each piece of equipment normally operates given schedules, weather, and occupancy. The platform detects when equipment behavior drifts from its own normal pattern—often weeks before an alarm or failure—and scores each change by risk. It then delivers a prioritized work list where each finding includes the specific asset, what changed, why it matters, and a recommended next step with a suggested timeframe. Facility teams can review the evidence before dispatching anyone, and leadership gains portfolio-level visibility for capital planning decisions.
Target Audience
Primary users are facility teams, property and facility managers, and leadership at organizations operating commercial buildings, data centers, labs, and healthcare facilities who need to prioritize maintenance and justify capital investments.
Features
- Connects to building automation systems (including Automated Logic WebCTRL and Siemens Building X), CMMS platforms (including FMX), vendor invoices, utility data, and PDF reports without requiring new hardware
- Learns normal operating patterns per asset using schedules, weather, and occupancy context to distinguish genuine faults from environmental variations
- Scores equipment deviations by risk and produces a ranked work list with evidence, recommended next steps, and suggested timing
- Provides portfolio-level rollups by building, region, or asset type to identify growing risk and support capital planning
- Operates as a read-only layer that never changes setpoints or schedules, working alongside existing BAS and CMMS systems
- Hosted on AWS with SOC 2 audit in progress and vendor-neutral across building automation and maintenance platforms