DataOS for ManufacturingSee failures before they happen. Ask your
operations anything.

Unify every asset signal in one place.

Equipment failure does not happen all at once. It signals quietly across thousands of assets and systems. DataOS connects your IoT, MES, PLM, ERP and operational data into a live intelligence layer that predicts failures, answers analytical questions in plain language.
86K+
devices tracked live
25+
signals per device
3
industries, all live
<6 weeks
to first use case

Equipment intelligence is rarely lost all at once

Failures decline quietly across thousands of assets and shifts. Signals exist, but they are scattered across MES, ERP, IoT platforms, and spreadsheets. By the time a problem is visible, the line has already stopped.

Failures go unnoticed
Equipment sends signals before it breaks. Without a unified sensor layer, those signals never reach the team that could act on them.
Operational questions take days
Engineers spend hours hunting across MES, defect logs, and sensor dashboards to answer a single question. By the time they find the answer, the shift has moved on.
Data is fragmented
MES, ERP, QMS, IoT, and service data live in separate systems. Every new use case requires rebuilding the same integrations from scratch.
Decisions rely on instinct
Maintenance schedules are built on experience instead of data. Teams prioritize based on what they know, not what the system is showing right now.

DataOS provides continuous visibility and control of your operations

Operations become visible, actionable, and measurable.

Traditional
operations

  • Reports show what already happened
  • Failures discovered after the line stops
  • Engineers spend hours searching for answers
  • Maintenance scheduled by experience, not data
  • Every new use case rebuilds the same integrations
  • Leaders depend on analysts to get answers

Manufacturing Intelligence with DataOS

  • Equipment failure signals surface hours in advance
  • Assets are monitored continuously, not at shift end
  • Teams asks a question and get an answer in seconds
  • Maintenance actions driven by real-time sensor data
  • One data product, reused across every use case
  • Answers available instantly without analyst involvement
Manufacturing Intelligence on DataOS continuously connects detection, action, and learning
See how quickly DataOS can transform your device or operational data step by step
01
Detect what is changing

Identify shifts in equipment behavior, sensor readings, and production patterns. Vibration, temperature, and pressure anomalies are surfaced before they become failures.

02
Prioritize what matters

Surface assets with the highest failure probability or quality risk. Engineers see which machines need attention this shift, not next week.

03
Direct the next action

Recommend what to do next for each asset -- which bearing to replace, which work order to pause, whether parts are in stock. Prescriptive, not just predictive.

04
Ask your operations anything

A natural language interface over your production data. Engineers type a question and get an answer in seconds from live operational data. No SQL. No dashboard ticket. No waiting.

05
Track execution and results

Monitor uptime improvements, quality outcomes, and response times in real time. Every action feeds back into the system, improving accuracy over time.

Organizations using DataOS see measurable improvements

Operations are no longer reactive. They are managed.

4 hours
Average lead time before equipment failure is flagged
<3 seconds
Time to answer an operational question in plain English
86K+
Assets and devices tracked across live deployments today
<6 weeks
Average time from connection to first working use case

Most tools report on operations. This system changes how they are managed.

Most platforms surface data. DataOS changes what happens next by directing actions based on
real-time signals across every asset in your plant.

Not reporting, execution
DataOS directs what to do next, not just what happened. When a sensor detects a failure pattern, the system recommends an action -- pause a work order, schedule maintenance, confirm parts availability -- not just a dashboard update.
Asset-level intelligence
Focuses where operational decisions are actually made -- at the machine, the line, the shift. Not aggregate plant-level reporting, but specific guidance for the specific asset that needs attention right now.
Unified intelligence layer
Combines predictive maintenance, natural language querying, and 360 asset data products in a single governed layer. Built once, reused across every use case. No rebuilding integrations every time a new question emerges.
Continuous system
Improves with every action taken. As engineers respond to recommendations and outcomes are recorded, the system refines its predictions and priorities. Accuracy increases over time without manual tuning.
One shared view
Leaders gain visibility while teams gain direction. A plant manager and a maintenance engineer see the same data, the same priorities, and the same recommended actions -- without going through an analyst.

Stop guessing where failures are coming from

See exactly where equipment is at risk, what your operations are telling you, and what to do next.

We will be in touch within one business day.

Frequently Asked
Questions

How is this different from a standard IoT dashboard or MES?

IoT dashboards capture data. MES systems record activity. DataOS changes what happens next by connecting those signals into a governed data product layer that predicts failures and directs actions, not just displays readings.

How does the system identify equipment failure risk?

It monitors changes in sensor readings - vibration, temperature, pressure - and correlates them with maintenance history, production schedules, and tool inventory to detect early indicators of failure before they cause downtime.

What does natural language querying mean in practice?

An engineer types a question like "why did failure rates spike last week?" or "which machines are running above normal vibration right now?" and gets an answer in seconds from live production data. No SQL required, no dashboard ticket, no waiting for a data team response.

Does this require replacing our existing systems?

No. DataOS connects to your existing MES, ERP, QMS, and IoT platforms without copying or duplicating data. Your systems stay where they are. DataOS sits on top as a unified intelligence layer.

How quickly can we see impact?

Impact begins as soon as signals are unified. Based on live deployments, organizations see working use cases within two weeks of connection. Early wins include identifying at-risk equipment and improving response times.

Can leaders get answers without going through an analyst?

Yes. The natural language interface gives every team member -- from plant floor engineer to VP of Operations -- direct access to production data. Questions are answered instantly without analyst involvement.

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