Executive Summary: Which are the Top 10 Predictive Maintenance Companies to Watch?

  1. WattsUp (USA): Offers artificial intelligence (AI)-driven electric vehicle (EV) charger analytics with real-time monitoring, automated diagnostics, and parts ordering.
  2. Click Maint (Canada): Provides cloud-based preventive maintenance software for scheduling, tracking, and automating equipment maintenance.
  3. Predsense (Austria): Delivers an AI-based software-as-a-service (SaaS) platform that analyzes machine sensor data.
  4. Avian IoT (Switzerland): Develops AI-powered fire prevention solutions using thermal imaging, adaptive alarms, and computer vision-enabled smoke detection.
  5. SolarisAI (Australia): Makes an SaaS advanced data analytics & AI platform for solar farms and large-scale photovoltaic (PV) installations.
  6. WindVox (Poland): Offers acoustic-based AI predictive maintenance for wind turbines using sound, vibration, and temperature sensors.
  7. PREDICTO (Bulgaria): Provides AI-driven predictive and prescriptive maintenance for rotating equipment.
  8. NodeHub (Portugal): Develops predictive maintenance software and industrial sensors that leverage supervised and unsupervised ML algorithms.
  9. WearVue (Australia): Creates AI-powered visual wear monitoring solutions with color-coded sensors.
  10. AirNXT (UAE): Offers AI-driven aviation maintenance, repair, and operations (MRO) software.

Global Startup Heat Map highlights Emerging Predictive Maintenance Startups to Watch

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends plus 150M+ patents, news articles & market reports, we identified 10 predictive maintenance startups.

The Global Startup Heat Map below highlights emerging predictive maintenance startups you should watch in 2026 as well as the geo-distribution of 2700+ startups & scaleups we analyzed for this research.

According to our data, we observe high startup activity in the USA and India, followed by the UK. The top 5 Startup Hubs for Predictive Maintenance are London, Bangalore, Dubai, Chennai, and Hyderabad.

 

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Explore Emerging Predictive Maintenance Startups to Watch in 2026

We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging predictive maintenance solutions range from early fire prevention and solar photovoltaic plant maintenance to visual wear monitoring and aviation maintenance.

1. WattsUp

  • Founding Year: 2024
  • Location: New York City, NY, USA
  • Use For: Electric Vehicle (EV) Charger Analytics
  • Startup Stage: Seed

US-based startup WattsUp offers predictive maintenance for EV chargers using artificial intelligence (AI) and machine learning (ML) algorithms.

It analyzes data from EV chargers and automates real-time performance monitoring for anomaly detection. This reduces the risk of cascading failures and downtime.

Further, the system integrates with the backend for critical components and order management. Based on diagnostics, it automatically places orders for the required parts. This ensures component delivery aligns with the expected time of failure.

2. Click Maint

  • Founding Year: 2023
  • Location: Headingley, Canada
  • Use For: Maintenance Management Software

Canadian startup Click Maint provides maintenance management software for industrial maintenance. Its cloud-based preventive maintenance software allows scheduling and tracking of equipment maintenance. Further, it automates inventory management by tracking equipment count, location, upgrades, and usage patterns.

Also, the software ensures compliance with safety regulations to prevent workplace accidents. This prevents the costs of equipment downtime, such as lost production, revenue, and customer satisfaction. It serves industries like manufacturing, healthcare, hospitality, sports, education, energy, restaurants, retail, and more.

3. Predsense

  • Founding Year: 2024
  • Location: Worgl, Austria
  • Use For: Manufacturing Maintenance SaaS
  • Startup Stage: Grants

Austrian startup Predsense offers a SaaS for predictive maintenance in manufacturing. It collects time-series data like temperature, pressure, vibration, and other sensor readings. ML algorithms work on this data to provide AI insights.

The resulting diagnostic report showcases key performance indicators (KPIs) like anomaly detection, failure analysis, and asset-specific cost savings. This reduces unplanned downtime as part of a continuous improvement cycle.

4. Avian IoT

  • Founding Year: 2023
  • Location: Zurich, Switzerland
  • Use For: Early Fire Prevention

Swiss startup Avian IoT enables early fire prevention for high-fire risk industries like wood, paper, cardboard, carpentry, and more.

Its thermal cameras leverage infrared imaging to detect heat emitted by objects in the facility. This technology creates thermograms to show temperature differences across surfaces. The cameras detect temperature anomalies and alert staff in advance.

Moreover, the built-in alarm systems are temperature adaptive. The ML algorithm studies temperature patterns over time and sets alarm limits automatically. This prevents false alarms.

Another product, Avian Vision, integrates computer vision into existing closed-circuit television (CCTV) cameras to automate fire and smoke detection. Its AI algorithms continuously monitor the warehouse to detect potential hazards. It alerts the users in real-time to protect machinery and industrial facilities.

5. SolarisAI

  • Founding Year: 2023
  • Location: St Lucia, Australia
  • Use For: AI Predictive Power
  • Startup Stage: Seed

Australian startup SolarisAI builds a Software-as-a-Service platform that applies data analytics and AI to solar farms and photovoltaic installations. Its cloud-based system supports operations and maintenance by integrating dashboards and predictive tools. These features allow for analyzing performance data, detecting faults, reducing soiling, and anticipating maintenance needs.

The platform improves efficiency by synchronizing data across systems. It also provides detailed reports and enables workflow automation through APIs.

SolarisAI offers AI-driven market insights and predictive maintenance to support decision-making. These tools aid in optimizing energy output and minimizing downtime.

 

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6. WindVox

  • Founding Year: 2023
  • Location: Lublin, Poland
  • Use For: Wind Turbine Maintenance
  • Startup Stage: Seed

Polish startup WindVox develops an acoustic monitoring system for wind turbines. It deploys non-invasive sound sensors on the turbine. These sensors capture acoustic signatures produced by different turbine components.

A few additional sensors measure temperature, vibration, and magnetic fields. The sound signals produced indicate the status of health, efficiency, and potential issues of the turbine.

Further, the startup deploys ML algorithms to identify trends and anomalies in sensor data. This eliminates the need for frequent labor-intensive physical inspections.

7. PREDICTO

  • Founding Year: 2023
  • Location: Razgrad, Bulgaria
  • Use For: Asset Condition Monitoring
  • Startup Stage: Seed

Bulgarian startup PREDICTO offers AI-based predictive and prescriptive maintenance for critical and non-critical assets. Its sensor, PREDICTO Industrial Node, measures tri-axial vibration and surface temperature of rotating equipment, such as pumps, motors, and compressors.

AI algorithm analyzes the gathered data to forecast issues and malfunctions. It suggests prescriptive corrective steps to eliminate the need for specialized staff.

Moreover, the system processes all data through cloud computing to allow plant managers, maintenance, and operations teams to access it from any device.

8. NodeHub

  • Founding Year: 2024
  • Location: Parceiros, Portugal
  • Use For: Industrial Maintenance Software and Sensors
  • Startup Stage: Seed

Portuguese startup NodeHub offers predictive maintenance software and sensors for industries like biomass production, paper, food, and beverage.

Its sensors, Edge and NX, measure vibration, magnetic field, acoustic emission, and temperature of equipment. This enables anomaly detection in rotating equipment, including motors, fans, compressors, pumps, belt drives, and gearboxes.

The software deploys supervised and unsupervised ML algorithms. This allows it to detect anomalies during normal operations without pre-labeled data. This way, the startup’s solution identifies equipment faults quickly and enables timely intervention.

9. WearVue

  • Founding Year: 2024
  • Location: Perth, Australia
  • Use For: Visual Wear Monitoring
  • Startup Stage: Seed

Australian startup WearVue develops color-coded indicators for wear monitoring for heavy industries like mining, construction, manufacturing, energy, automotive, and aerospace.

The sensor’s green signal indicates the equipment is in good condition, while red denotes critical wear. Yellow signals represent the component on the verge of the wear stage. This facilitates just-in-time (JIT) planning and arranging replacement parts without downtime.
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Its AI platform, VueVision, processes the colour-coded layers from the sensors into actionable insights. It predicts wear trends, potential failures, and recommends maintenance schedules. This eliminates the need for manual inspections. By enabling visual assessments from a safe distance, the solution eliminates the worker’s exposure to hazardous industrial environments.

10. AirNXT

  • Founding Year: 2024
  • Location: Dubai, UAE
  • Use For: Aviation Maintenance Software
  • Startup Stage: Seed

Emirati startup AirNXT develops an AI-driven MRO software for aviation management. It features an electronic logbook that automates the recording of critical maintenance data to eliminate manual data entry. It facilitates KPI tracking, compliance adherence, and predictive analytics.

This allows airlines, MRO providers, and continuing airworthiness management organizations (CAMO) to minimize downtime and enhance safety.

Discover All Emerging Predictive Maintenance Startups

The predictive maintenance startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry Innovation Reports for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!