MGM Lab · for manufacturing

TALOS

Factory intelligence, with people in charge
It brings together machines, sensors, drawings, warehouse, energy and the experience of the people who work there. It proposes the right actions: only what a person confirms goes ahead.
MGM Lab · innovative start-up why TALOS
TALOS · Morning shift
Plant · all lines
Line 2 · oven, zone 3
temperature above average for 40 minutes
to check
sensors
Machining centre 4 · part 118
toolpath proposed from the drawing
to approve
technician
Warehouse · packaging film
below minimum stock in three days
order ready
purchasing
Line 1 · energy per part
rising since Monday
proposal
energy
Quality · batch 2214
awaiting release
to sign
quality
✓ Every proposal shows its sources
Proposal for line 2
Lower oven zone 3 by 5 °CBased on sensors, last night’s scrap and the shift note. Goes ahead only after you confirm.
illustrative screen
The problem

The data is there, but it lives in systems that don’t talk to each other. And the people who know will retire sooner or later.

A morning at the plant
TALOS · everything in one place Machines and sensorsERPProductionDrawingsMaintenanceSpreadsheets+ notebooks
L2
High scrap last night, nobody knows why · shift supervisor
investigating
M
The bearing broke, the signal had been there for days · maintenance
line down
E
The energy bill went up, we’ll see at month end · administration
late
A
The film ran out, urgent order · purchasing
urgent
T
Only Mario knows how to make this adjustment · department
at risk
Q
The batch has to be traced by hand across three systems · quality
manual
Line 2 scrap · probable cause found
zone 3 temperature and raw material batch change, with the evidence
explained
4 sources
Pump 3 bearing · vibration rising
work proposed for Saturday, with the line stopped
to confirm
maintenance
Packaging film · order prepared
arrives before it runs out
to approve
purchasing
Mario’s adjustment · saved in the memory
the night shift can find it too
available
department
Separate systems

Machines, ERP, drawings and quality don’t talk to each other.

Action comes too late

The fault shows up when the line has already stopped.

Experience walks out the door

Only a few people know the right adjustments.

Long investigations

Causes are pieced together by hand, from logs and phone calls.

press «With TALOS» · click the cards for details · illustrative example
What it does

Six work areas, one rule: it proposes, and a person decides.

⚙
Machining

From the drawing to the machine program, with collision checking.

confirmed by: the technician
⇄
Procurement

Flags stock that is running low and prepares the order.

confirmed by: purchasing
✚
Maintenance

Spots the signs of a fault before the line stops.

confirmed by: the maintenance technician
ϟ
Energy

Measures consumption per part and proposes adjustments to reduce it.

confirmed by: the line manager
✓
Quality and traceability

Links measurements, specifications and batches. Holds and releases with a signature.

confirmed by: quality
▦
Planning

Realistic delivery dates, based on the lines’ real capacity.

confirmed by: production
click an area for an example · you start with one area and add the others
How it answers

A question from the shift supervisor, evidence found in your data, an answer you can check.

TALOS · Ask
Oven sensor, zone 3
+5 °C since 2:10
Raw material batch
L-2214
batch change at 2:00
Line scrap
from 1.1% to 4.8% during the shift
Note from a March shift
«With this supplier, zone 3 must be kept 5 degrees lower.»
saved by the department
Probable cause: with the new batch, oven zone 3 is running too hot. In March, with the same supplier, it was solved by lowering it by 5 °C. Proposal: lower by 5 °C · to be confirmed
illustrative example
press Play · click a piece of evidence to see where it comes from
People in charge

No action starts on its own: the machine proposes, the person decides, the factory learns.

Observesreads data, documents and notes
Proposesan action with its sources
Checksa second check before showing it
You confirmor correct, or reject
Learnsthe choice goes into the memory
Every step is logged: who confirmed, when, on what evidence.
click a step for details
Why trust it

Born on the factory floor, it leaves the data with you and builds on what you already have.

Already at work in an engineering company

The engine has been in use for months on a real case, in phases verified by the client.

Your data stays yours

On your servers, in a European cloud or on site next to the machines.

Every proposal has its evidence

You can see which data and documents it comes from, and who confirmed it.

It connects, it doesn’t replace

ERP, production systems and machines stay as they are today.

First we simplify, then we automate. That’s our Lean AI method: artificial intelligence goes where it creates measurable value, with human oversight and traceability, the principles of the AI Act.
click the cards for details
How we start

One line, one problem, metrics agreed beforehand. Then it expands.

1
We look at the processin the department, with the people who work there: where work gets stuck and what it costs
2
We connect the datathe data you already have, without changing your systems
3
Pilot on one linea problem chosen by you and metrics agreed before starting
4
We extendother lines, other departments, other work areas
How much time is saved?
hours of investigation, document searching, adjustments
How many fewer stoppages and rejects?
on the pilot line, before and after
How much energy per part?
measured machine by machine
click a phase for details
TALOS · factory intelligence, with people in charge
Which decision in your factory would you like to make with all the data in front of you?
a pilot on one lineyour data stays yoursa person always decides
MGM Lab S.r.l. · Rome · info@mgmlab.eu · mgmlab.eu

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