About AssetScope
The reliability operating system for mission-critical infrastructure
AssetScope is an AI-native, multi-agentic asset-intelligence platform. It predicts equipment failure before it becomes downtime, explains the root cause, forecasts condition, quantifies the business impact, and recommends — and can execute — the fix. One intelligence layer, fourteen industries, every vendor. This is reliability reimagined, not another predictive-maintenance tool.
The problem we exist to solve
Unplanned asset failure is the silent tax on every capital-intensive enterprise — GPU clusters, hospitals, the power grid, fleets, factories, fabs, pipelines, and networks. A single hour of unplanned downtime routinely costs six or seven figures, and the assets that fail are the ones the business can least afford to lose. Yet the tools meant to prevent it are siloed per asset class, locked to one vendor, and descriptive by design — they raise alarms after the fact and leave the hard questions to overstretched reliability teams. The telemetry to see failure coming finally exists. What's been missing is the intelligence layer that turns it into foresight, and then into action. That layer is AssetScope.
What AssetScope does
One closed loop, from signal to action
Monitoring tells you what is happening. AssetScope answers what will fail, when, why, what it costs, and what to do — then closes the loop and learns from the outcome. Every stage runs on the same shared core.
Detect
Multivariate anomaly detection with per-signal root cause.
Predict
Failure probability and remaining life with calibrated confidence.
Forecast
Condition forecasting and counterfactual 'what-if' life extension.
Explain
Grounded root cause an engineer can trust and verify.
Simulate
Digital-twin business-impact and blast-radius scenarios.
Optimize
Risk-based maintenance plans under real constraints.
Act
Governed, approval-gated remediation into your work-order systems.
Inspect
AI visual and thermal inspection into structured reports.
Far beyond predictive maintenance
"Predictive maintenance" describes a feature. AssetScope is a category above it — a superior product built AI-native, calibrated, and cross-industry from the ground up.
Legacy predictive-maintenance tools
- Siloed per asset class and locked to one vendor's hardware
- Descriptive — alarms and dashboards that report the past
- Point predictions with no calibrated confidence
- Blind to business impact and cost of inaction
- Stops at the alert — no simulation, no action
- A tool for one problem in one industry
AssetScope
- One AI core across 14 industries, vendor- and protocol-neutral
- Predictive and prescriptive — it tells you what will happen and what to do
- Every prediction carries a calibrated, honest confidence interval
- Quantifies downtime and dollars at risk, and the ROI of acting
- Closes the loop: predict → explain → simulate → optimize → act
- A reliability operating system that compounds across asset classes
Our mission
Make reliability predictive and universal. Every operator of critical assets should be able to see failure coming, understand why, quantify the impact, and act — regardless of vendor or asset class. We turn siloed, descriptive monitoring into one intelligence layer that predicts, explains, simulates, and acts.
Why now
AI-infrastructure spend is scaling into the trillions; grids, fleets, fabs, and plants are instrumenting fast; and uptime is a board-level line item everywhere. The telemetry finally exists — and AI has matured enough to reason over it. The vendor-neutral layer that turns that data into foresight is the opportunity, and AssetScope is built for exactly this moment.
What we believe
One core, every asset class
A single reliability engine, digital twin, copilot, and learning loop — parameterized per vertical, not rebuilt. Intelligence compounds across industries a single-vertical tool never sees.
Vendor-neutral by conviction
We normalize any vendor or protocol into one canonical schema — the cross-vendor, cross-industry layer no single-OEM tool will ever build.
AI-native, not AI-bolted-on
A coordinated team of AI agents is the product, not a chatbot on top of a legacy suite. Reasoning, grounding, and governance are built in.
Honest and operator-first
Read-only pilots, dry-run-by-default actions, condition-data only, calibrated results. We earn trust with measured outcomes, not checkbox theater.
Why AssetScope stands out
Calibrated, not black-box
Every prediction ships with a rigorous, exposed confidence interval — the trust layer most platforms skip and the #1 driver of operator adoption.
The modeling frontier
Counterfactual remaining-life, forecast-driven detection, and a foundation-model-ready architecture put AssetScope ahead of tools that stop at a threshold alarm.
Breadth on one core
Fourteen industries — from AI data centers to pharma — on the same engine. Adding an industry is a configuration, not a rebuild.
A governed agentic copilot
Ask in plain language; get a grounded, cited answer and a proposed action — with human approval and a tamper-evident audit trail on every step.
Enterprise-grade from day one
SSO, SCIM, RBAC, multi-tenant isolation, tamper-evident audit, a public API, and a security posture built toward SOC 2 — unusual for the category.
Standards-native
Aligned to the reliability standards enterprises already trust (ISO 14224 taxonomy, ISO 20816 vibration, FMEA/RCM) — portable and lock-in-breaking.
Fourteen industries, one platform
The same core adapts to the asset taxonomy, sensor physics, and failure modes of each industry — so a reliability team gets a purpose-built experience, and the business gets one platform to standardize on.
Where we are. The platform runs across fourteen industries on one shared core, with rigorously validated prediction methods and an enterprise-grade security and governance layer. The public environment demonstrates on simulated, representative telemetry; production reliability is proven with operators through read-only design-partner pilots on real fleets, where the platform earns its place on measured results. We are candid about what is built versus what is in pilot — that honesty is how serious operators come to trust us.