Agent

Agent

Downtime Root Cause Agent

Turn every stop into an explainable event.

Correlates PLC states, fault codes, video, and operator input to classify stoppages and identify the most likely root cause.

how does it work

how does it work

Summary

Correlates PLC states, fault codes, video, and operator input to classify stoppages and identify the most likely root cause.

use cases

Downtime classification; Root-cause analysis; OEE improvement

industries

Automotive

Food and beverage

Packaging

Pharmaceuticals

Industrial equipment

IMPACT

Manufacturing work unfolds over minutes, across people, tools, parts, machines, stations, and process variants. Our systems combine temporal video understanding, process mining, typed process graphs, large teacher models, edge-deployed students, and human process expertise.

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get agent

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Agent library

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Agent builder

Or customise your agents on your own

Don't get stuck with pre-built agents. Built tailored and customise around your use case, systems, data, and shop-floor setup.

DESCRIBE YOUR AGENT

Build an agent that flags cycle-time drops on Line 3 and alerts the shift lead in Teams.

S/4HANA context

Build agent

Agent builder

Or customise your agents on your own

Don't get stuck with pre-built agents. Built tailored and customise around your use case, systems, data, and shop-floor setup.

DESCRIBE YOUR AGENT

Build an agent that flags cycle-time drops on Line 3 and alerts the shift lead in Teams.

S/4HANA context

Build agent

Agent builder

Or customise your agents on your own

Don't get stuck with pre-built agents. Built tailored and customise around your use case, systems, data, and shop-floor setup.

DESCRIBE YOUR AGENT

Build an agent that flags cycle-time drops on Line 3 and alerts the shift lead in Teams.

S/4HANA context

Build agent

Agent builder

Or customise your agents on your own

Don't get stuck with pre-built agents. Built tailored and customise around your use case, systems, data, and shop-floor setup.

DESCRIBE YOUR AGENT

Build an agent that flags cycle-time drops on Line 3 and alerts the shift lead in Teams.

S/4HANA context

Build agent

Daily operations

Run every shift
with better information

Almetra turns production data into daily guidance—helping teams start informed, stay ahead of issues, and act before small losses become bigger problems.

Almetra turns production data into daily guidance—helping teams start informed, stay ahead of issues, and act before small losses become bigger problems.

Start every day informed

Automated morning briefings summarize yesterday’s performance, rank the biggest losses, and prepare managers to ask the right questions in the stand-up.

Morning Briefing

Yesterday

OEE

72.4%

Output

1,240 u

Start every day informed

Automated morning briefings summarize yesterday’s performance, rank the biggest losses, and prepare managers to ask the right questions in the stand-up.

Morning Briefing

Yesterday

OEE

72.4%

Output

1,240 u

See every shift as it happens

Track hourly output, cycle times, staffing, and progress against target—without waiting for an end-of-shift report.

Shift Output

Live

Actual

Below target

See every shift as it happens

Track hourly output, cycle times, staffing, and progress against target—without waiting for an end-of-shift report.

Shift Output

Live

Actual

Below target

Know where to act next

Almetra detects meaningful deviations and sends contextual alerts through Microsoft Teams or email, so the right people can respond quickly.

Almetra · Microsoft Teams

now

Deviation detected · Line 3

Cycle time vs baseline

+14%

Matches 3 past events this month

Likely cause: tool wear · Station 4

Know where to act next

Almetra detects meaningful deviations and sends contextual alerts through Microsoft Teams or email, so the right people can respond quickly.

Almetra · Microsoft Teams

now

Deviation detected · Line 3

Cycle time vs baseline

+14%

Matches 3 past events this month

Likely cause: tool wear · Station 4

Where to focus this week.

Recurring losses. Evidence. A practical next step.

Empty-carrier losses

6 h 40

1

Cycle-time drift

5 h 10

2

Changeover losses

4 h 20

3

Where to focus this week.

Recurring losses. Evidence. A practical next step.

Empty-carrier losses

6 h 40

1

Cycle-time drift

5 h 10

2

Changeover losses

4 h 20

3

BEYOND AGENTS

An agent is only as smart as its context.

Almetra combines video, machine data, AI agents, and employee feedback into one living model of how production actually runs.

continious loop

1

COMPLETE FACTORY CONTEXT

AI video

Sees cycles, motion, interruptions, and work.

Machine data

Connects PLC, MES, ERP, faults, and downtime.

Employee feedback

Validates findings with the people who run the line.

ERP Systems

Connects orders, inventory, and production plans.

2

From CONTEXT LAYER to digital twin

One objective picture of the floor—continuously learning.

Every signal is connected, interpreted, and checked against manufacturing reality. The result is not another generic answer, but guidance your teams can trust and act on.

3

OPERATIONAL ACTION

Brief the shift

Start every stand-up with the losses that matter and the why attached.

Act in real time

Alert the right team when output drops or a station falls behind.

Improve what recurs

Prove root causes, prioritize fixes, and track the gains.

BEYOND AGENTS

An agent is only as smart as its context.

Almetra combines video, machine data, AI agents, and employee feedback into one living model of how production actually runs.

continious loop

1

COMPLETE FACTORY CONTEXT

AI video

Machine data

Employee feedback

ERP Systems

2

From CONTEXT LAYER to digital twin

One objective picture of the floor—continuously learning.

3

OPERATIONAL ACTION

Brief the shift

Act in real time

Improve what recurs

BEYOND AGENTS

An agent is only as smart as its context.

Almetra combines video, machine data, AI agents, and employee feedback into one living model of how production actually runs.

continious loop

1

COMPLETE FACTORY CONTEXT

AI video

Sees cycles, motion, interruptions, and work.

Machine data

Connects PLC, MES, ERP, faults, and downtime.

Employee feedback

Validates findings with the people who run the line.

ERP Systems

Connects orders, inventory, and production plans.

2

From CONTEXT LAYER to digital twin

One objective picture of the floor—continuously learning.

Every signal is connected, interpreted, and checked against manufacturing reality. The result is not another generic answer, but guidance your teams can trust and act on.

3

OPERATIONAL ACTION

Brief the shift

Start every stand-up with the losses that matter and the why attached.

Act in real time

Alert the right team when output drops or a station falls behind.

Improve what recurs

Prove root causes, prioritize fixes, and track the gains.

BEYOND AGENTS

An agent is only as smart as its context.

Almetra combines video, machine data, AI agents, and employee feedback into one living model of how production actually runs.

continious loop

1

COMPLETE FACTORY CONTEXT

AI video

Sees cycles, motion, interruptions, and work.

Machine data

Connects PLC, MES, ERP, faults, and downtime.

Employee feedback

Validates findings with the people who run the line.

ERP Systems

Connects orders, inventory, and production plans.

2

From CONTEXT LAYER to digital twin

One objective picture of the floor—continuously learning.

Every signal is connected, interpreted, and checked against manufacturing reality. The result is not another generic answer, but guidance your teams can trust and act on.

3

OPERATIONAL ACTION

Brief the shift

Start every stand-up with the losses that matter and the why attached.

Act in real time

Alert the right team when output drops or a station falls behind.

Improve what recurs

Prove root causes, prioritize fixes, and track the gains.

Customer Stories

More of Almetras Customer Stories

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From insight to improvement on your floor
this shift.