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SIX30LABS ACCELERATOR · LOOMOS

The operating system for manufacturing.

Connects your machines.Runs your plant.Learns from every shift.

LoomOS connects any machine in minutes, learns each machine's normal, catches defects on camera and runs operations end to end, on your own server.

Plant 2 · Line overviewShift B · on-premise
● Live
OEE81.0%
UPTIME96.0%
UNITS / HR412
CNC-07vib 4.2 mm/s
Watch
Robot cell 238s cycle
Running
Press line 196 strokes/min
Running
Paint boothchangeover
Idle
AI INSIGHTCNC-07 spindle vibration is 18% above baseline. Schedule maintenance before Shift C.
LoomOS product videoSet the video URL in Tweaks to stream it from your server
THE PROBLEM

Your machines already report everything. Nobody is listening.

Every machine on your floor produces speed, temperature, vibration, current draw and counts, every second of every shift. Almost none of it is captured. What gets recorded is what someone writes on a batch card and types into Excel two days later.

ERP / SAPKNOWS WHAT TO MAKEOrders, BOMs, inventory. Clean, structured, board-level visibility.
The GapWHERE PRODUCTION ACTUALLY RUNSPaper batch cards, WhatsApp groups, Excel trackers. Dozens of people walking the floor. Guesswork.
PLCs / MachinesKNOW HOW TO RUNSpeeds, temperature, vibration, counts. Generated every second, seen by no one.
US$0.5–2M+Typical cost of a traditional MES per plant
12–24 monthsTo deploy, mostly consultants writing custom code
80% servicesLegacy MES is a project you commission, not a product you buy
OUR THESIS

MES was built to record. LoomOS is built to learn.

Every MES stores what happened. LoomOS understands what is happening, because it was built on data and AI from day one.

Four layers, stacked from the machine upward. Three things run through every one of them.

Runs through all four
4M traceabilityMan, machine, material, method
Roles and accessEveryone logs in as themselves
Audit trailEvery change, who and when
04Intelligence
03Commercial
02Execute
01Connect
IntelligencePredict, inspect, act, answer, simulate
CommercialCatalogue, materials, inventory, orders, dispatch
ExecuteShops, shifts, work orders, recipes, OEE, maintenance
ConnectPLCs, CNCs, cameras, gauges, sensors, SCADA
One server. One data model. Scalable stack.
TRADITIONAL MES
—A database with workflows, every rule hand-coded by consultants
—AI features bolted on later, sold as separate modules
—Tells you yesterday's OEE in a report nobody reads
—Every new plant is a new services project
LOOMOS, NATIVE TO DATA AND AI
✓Learns each machine's normal: 7 days of telemetry becomes a live baseline that flags bearing wear before it becomes downtime
✓Judges every unit, not a sample: Your own images train the inspection model, fused with live sensor readings.
✓Answers in plain language: Ask why Line 2 quality dropped at 3pm, against live plant data.
✓Compounds: Every shift of data makes the models better, and the moat deeper.
WHAT IS INSIDE

Five studios. Five questions.

Each studio answers a question somebody in the plant already asks every day. All five run on the same server, on the same data, with no separate integration and no second vendor.

MACHINE HEALTH STUDIOWhat is about to fail?
QUALITY STUDIOIs this part good?
ACTION STUDIOWhat should happen now?
DATA STUDIOWhy did that happen?
PROCESS TWINWhat if we changed it?
MACHINE HEALTH STUDIO

Ships knowing, then learns yours

Health models for VMC, HMC, turning, grinding, presses, moulding, welding robots, compressors and furnaces. Baselines per recipe, drift flagged before failure.

The foundationAll five studios run on the same server as the rest of the platform. Models train per machine and per recipe, and inspection can start from twenty good-part photos, so nothing waits on a dataset you do not have.
CompoundingQuality decisions fuse camera, measurement and sensor evidence, and report which of the three drove the call. Start with visibility, turn on the rest at your pace, nothing gets re-implemented later.
THE PRODUCT

One system, from the machine to the sales order.

Four layers, stacked from the machine upward. Pick the protocol from the connector catalogue, point it at the machine, map the tags in the interface. Read-only until you decide otherwise.

Intelligence04
Commercial03
Execute02
Connect01
RUNS THROUGH ALL FOUR
4M traceabilityMan, machine, material, method
Roles and accessEveryone logs in as themselves
Audit trailEvery change, who and when
Connect

“Old machines and new. No SOW.”

→Modbus, OPC UA, Siemens, Beckhoff, KNX
→CNC spindle load, cycle time, alarms
→Existing CCTV works, no new cameras
→Retrofit MQTT sensors or backfill SCADA history
LoomOS: one server, one data model, scalable stack.
PROOF, NOT PROMISES

We don't demo slides. We carry a working factory into the room.

Plant-in-a-Box: a live motor with sensors, a conveyor with a camera, and the full LoomOS stack. End to end, in 25 minutes.

Plant-in-a-Box · Live motor, sensors, conveyor, camera, the full LoomOS stack running end to end
01An order arrivesA work order is created. The motor starts at recipe speed. Nobody typed anything.
02The plant goes liveTelemetry streams every second. OEE calculates in front of you.
03Trouble, caught twiceThe camera catches a marked defect. Coins taped to the shaft trigger a bearing-imbalance alert within thirty seconds.
04The plant explains itselfAsk what happened. The order completes and the batch record writes itself.
FIRST PRINCIPLES THINKING FOR MANUFACTURING. FINALLY.

Connect any machine in minutes.

Learn each machine's normal. Catch defects on camera. Run operations end-to-end, on your own server, on your terms.

We will get back to you within 24 hours.
100%Honest Pricing
SuperfastExecutions
0%Vendor Bias
EverythingTech | Data | AI
Six30Labs
Enterprise transformation and technology partner, with specialist practices in PropTech and connected & embedded systems.
© 2026 Tech630 Software Private Limited, operating as Six30Labs · Bengaluru · Dubai · London · Manama · Melbourne · Surrey · Nairobi · Kraków (2027)
Six30Labs
Schedule a Briefing
SIX30LABS ACCELERATOR · LOOMOS

The operating system for manufacturing.

Connects your machines.Runs your plant.Learns from every shift.

LoomOS connects any machine in minutes, learns each machine's normal, catches defects on camera and runs operations end to end, on your own server.

Plant 2 · Line overviewShift B · on-premise
● Live
OEE{{ kOee }}%
UPTIME{{ kUp }}%
UNITS / HR{{ kUnits }}
{{ m.name }}{{ m.metric }}{{ m.status }}
{{ engInsight }}
{{ loomosVideoEl }}
LoomOS product videoSet the video URL in Tweaks to stream it from your server
THE PROBLEM

Your machines already report everything. Nobody is listening.

Every machine on your floor produces speed, temperature, vibration, current draw and counts, every second of every shift. Almost none of it is captured. What gets recorded is what someone writes on a batch card and types into Excel two days later.

ERP / SAPKNOWS WHAT TO MAKEOrders, BOMs, inventory. Clean, structured, board-level visibility.
The GapWHERE PRODUCTION ACTUALLY RUNSPaper batch cards, WhatsApp groups, Excel trackers. Dozens of people walking the floor. Guesswork.
PLCs / MachinesKNOW HOW TO RUNSpeeds, temperature, vibration, counts. Generated every second, seen by no one.
US$0.5–2M+Typical cost of a traditional MES per plant
12–24 monthsTo deploy, mostly consultants writing custom code
80% servicesLegacy MES is a project you commission, not a product you buy
OUR THESIS

MES was built to record. LoomOS is built to learn.

Every MES stores what happened. LoomOS understands what is happening, because it was built on data and AI from day one.

Four layers, stacked from the machine upward. Three things run through every one of them.

Runs through all four
4M traceabilityMan, machine, material, method
Roles and accessEveryone logs in as themselves
Audit trailEvery change, who and when
04Intelligence
03Commercial
02Execute
01Connect
IntelligencePredict, inspect, act, answer, simulate
CommercialCatalogue, materials, inventory, orders, dispatch
ExecuteShops, shifts, work orders, recipes, OEE, maintenance
ConnectPLCs, CNCs, cameras, gauges, sensors, SCADA
One server. One data model. Scalable stack.
TRADITIONAL MES
—A database with workflows, every rule hand-coded by consultants
—AI features bolted on later, sold as separate modules
—Tells you yesterday's OEE in a report nobody reads
—Every new plant is a new services project
LOOMOS, NATIVE TO DATA AND AI
✓Learns each machine's normal: 7 days of telemetry becomes a live baseline that flags bearing wear before it becomes downtime
✓Judges every unit, not a sample: Your own images train the inspection model, fused with live sensor readings.
✓Answers in plain language: Ask why Line 2 quality dropped at 3pm, against live plant data.
✓Compounds: Every shift of data makes the models better, and the moat deeper.
WHAT IS INSIDE

Five studios. Five questions.

Each studio answers a question somebody in the plant already asks every day. All five run on the same server, on the same data, with no separate integration and no second vendor.

{{ s.tag }}{{ s.q }}
{{ studio.tag }}

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{{ studio.body }}

The foundationAll five studios run on the same server as the rest of the platform. Models train per machine and per recipe, and inspection can start from twenty good-part photos, so nothing waits on a dataset you do not have.
CompoundingQuality decisions fuse camera, measurement and sensor evidence, and report which of the three drove the call. Start with visibility, turn on the rest at your pace, nothing gets re-implemented later.
THE PRODUCT

One system, from the machine to the sales order.

Four layers, stacked from the machine upward. Pick the protocol from the connector catalogue, point it at the machine, map the tags in the interface. Read-only until you decide otherwise.

{{ l.name }}{{ l.num }}
RUNS THROUGH ALL FOUR
4M traceabilityMan, machine, material, method
Roles and accessEveryone logs in as themselves
Audit trailEvery change, who and when
{{ layer.name }}

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LoomOS: one server, one data model, scalable stack.
PROOF, NOT PROMISES

We don't demo slides. We carry a working factory into the room.

Plant-in-a-Box: a live motor with sensors, a conveyor with a camera, and the full LoomOS stack. End to end, in 25 minutes.

Plant-in-a-Box · Live motor, sensors, conveyor, camera, the full LoomOS stack running end to end
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FIRST PRINCIPLES THINKING FOR MANUFACTURING. FINALLY.

Connect any machine in minutes.

Learn each machine's normal. Catch defects on camera. Run operations end-to-end, on your own server, on your terms.

Talk To Us →We will get back to you within 24 hours.
100%Honest Pricing
SuperfastExecutions
0%Vendor Bias
EverythingTech | Data | AI
Six30Labs
Enterprise transformation and technology partner, with specialist practices in PropTech and connected & embedded systems.
© 2026 Tech630 Software Private Limited, operating as Six30Labs · Bengaluru · Dubai · London · Manama · Melbourne · Surrey · Nairobi · Kraków (2027)