Best Predictive Maintenance Software - Page 6

Asseti

Asseti is a leading intelligent condition management platform that revolutionizes the way asset managers predict, plan, and operate property assets.

Average Rating: 4.2/5.0

Total Reviews: 3

AssetStack

AssetStack is an Australian AI asset intelligence platform for organisations that own and maintain buildings and infrastructure. It works as an intelligence layer over the systems you already run, taking in asset registers, inspection reports, photos, Matterport and LiDAR scans, SCADA and IoT data, then turning them into a single live register with condition grades, remaining useful life and replacement costs for every component. From there, AssetStack predicts failures before they happen, prioritises defects by risk and cost, and models Premium, Balanced and Must-Do funding scenarios side by side. Outputs include work orders, 20-year forward works programs, AASB 116 valuations and board-ready reports where every figure traces back to inspected, photo-linked evidence. The platform is aligned with IPWEA and IIMM practice and integrates with finance, GIS and CMMS systems such as TechnologyOne, SAP, Maximo and ArcGIS rather than replacing them. AssetStack serves local government, education and property portfolios, rail, power and utilities, mining and heavy civil infrastructure. Data is hosted in Australia.

Atherya

ATHERYA is an industrial AI platform designed to connect predictive maintenance, production planning, scheduling, and operational decision-making through a shared understanding of the factory. By learning from machine data and production context, ATHERYA builds an operational model of how the plant actually works: equipment behaviour, effective capacity, emerging risks, and production constraints. This knowledge helps manufacturing teams identify hidden capacity, anticipate disruptions, and understand how a change in one area affects the rest of production. ATHERYA brings maintenance and planning into the same decision process. Machine condition can inform production schedules, material availability can influence order feasibility, and energy-aware scheduling can account for energy constraints alongside capacity and delivery priorities. Designed for plant managers, production planners, maintenance teams, and operations leaders, ATHERYA supports a progressive approach to automation—from recommendations reviewed by people to agentic workflows operating within defined policies and approval boundaries. ATHERYA is built around the factory’s existing data infrastructure, with on-premises deployment supporting local control of industrial data. Its goal is to take on operational coordination while keeping people in control of objectives, permissions, and critical decisions.

Atrasim Corrosion

Atrasim Corrosion is a solution that enables organizations to mitigate the risk of catastrophic events, prioritize planning and reduce maintenance costs, and make sense of data to extend the lifespan of heavy industrial assets. Up to 35% of the cost of corrosion can be recaptured with simulation software. Atrasim enables analysis of individual or batch asset data at any stage of the assets’ lifecycle. From asset planning to end-of-life, Atrasim provides actionable insights. The solution can also be integrated as a standalone product or a computational engine for existing asset integrity solutions.

Auto AI Care

AUTO AI CARE is an intelligent car care management software designed to streamline and simplify workshop operations. From booking and job tracking to billing and customer management, it helps garage owners automate daily tasks, improve efficiency, and deliver a seamless customer experience—all in one powerful platform.

AxisMD

Battery Monitoring

Bestekar 4.X

Bib batteries

Bib batteries provides an electric vehicle battery state-of-health (SoH) report remotely, without any hardware, and almost instantly.

BlackOrbit Manufacturing

BMSLens

BMSLens is a Battery Structural Intelligence API that adds an explainable intelligence layer above existing BMS, gateway, and SCADA infrastructure without requiring hardware replacement. It provides early warning for degradation, thermal cell anomalies, and structural threats; false-alarm governance that filters transient noise; fleet-wide risk ranking; and windowed resistance stress validation under thermal load. BMSLens connects to existing data infrastructure through direct BMS feeds, RS485/Modbus RTU, CAN/CANBus, IoT gateways, SCADA/EMS/historians, cloud platforms, and CSV, JSON, or Parquet ingestion. Operators receive explainable alerts and maintenance priority codes.

ClearSpot.ai – Agentic Solar Operations Platform

ClearSpot.ai is an agentic solar operations platform that uses multiple specialized AI agents to monitor, inspect, and optimize solar assets end‑to‑end, instead of just showing dashboards. These agents continuously ingest SCADA, inverter, drone and sensor data, detect defects and under‑performance, prioritize work orders, and coordinate inspections and maintenance actions across entire portfolios. The platform combines edge processing on drones and gateways with secure cloud analytics, building a digital twin of each site so it can predict failures, recommend corrective actions, and benchmark performance portfolio‑wide. For IPPs, EPCs and O&M providers, this typically translates into higher energy yield, 20–30% lower O&M costs, faster inspections and a scalable, audit‑ready view of “fixable vs structural” losses across multi‑GW fleets

Control Seat Predictive Maintenance

Control Seat helps industrial teams monitor critical equipment and investigate developing problems before they cause unexpected downtime. The platform brings condition measurements from Control Seat sensors together with available plant data and machine history, so maintenance teams can see what changed, review the evidence, and decide what to check. Teams can begin with the assets that matter most and expand coverage over time.

DataMind AI

DeltoriPro

Deltori is a conversational AI platform for PLC diagnostics, built for mills and manufacturers that cannot afford unplanned downtime. When a line goes down, the operator on the floor is rarely the person who wrote the program. Faults do not reset, the cause is not obvious, and the shift stalls waiting on someone who can read ladder logic. Deltori closes that gap. Operators and maintenance staff ask a question in plain language — "the faults aren't resetting on this equipment, what's keeping me from running?" — and Deltori reads the controller data directly, reasons over the program and current status, and answers in plain language. No tag lists, no ladder logic, no waiting. Deltori is not a monitoring screen and not a reporting tool. It is a conversational AI harness that sits against the controller and answers questions the way a senior controls specialist would, on any shift, at any hour. Key capabilities: - Plain-language PLC diagnostics — describe the symptom, get the probable cause - Direct controller data access — reads live program state and current status - Fault isolation down to the device level, including field sensors and I/O - Program analysis and reasoning across the full controller logic - Built for Allen-Bradley environments, with additional platforms in development - Patent-pending diagnostic technology Deltori is built by Romulus Industrial Innovation LLC, a controls design and system integration firm based in Fortuna, California, with deep operating history in sawmill, lumber, and wood products manufacturing. The product was developed on live production floors, not in a lab. Available in a free tier and enterprise tiers scaled by machine count. Deltori. Know before it breaks.