Clove OSAn AI-native operating layer for the factory floor

An AI-native operatinglayer for factories.Sees.Decides.Acts.

CloveOS sits between your machines and your people — connects PLCs, runs real-time inference at the edge, and gives every shift an AI co-operator that speaks the operator's language. Not heavyweight MES. Not dashboard SaaS. Built for Indian factory floors first.

Connects PLCs · Watches every line · Survives shift handovers · Speaks Hindi, Tamil, Marathi · Runs at the edge

Company Brain

Chat with everything your org knows.

Connected sources sync into Supabase and mirror into clove-kb. This chat uses the same memory layer your agents read from, so users can ask for vendor facts, project history, runbooks, and connector evidence directly.

Org Wiki Copilot

Grounded in live KB recall

Live
Ask the company brain anything. I search Org Wiki, connector dumps, and synced KB memory before answering.
Enter to ask · Shift+Enter for newline

The wedge

Two things own the factory today.
Neither runs it.

Legacy MES is too heavy to deploy and too rigid to learn. Dashboard SaaS never touches the line. CloveOS sits between your machines and your people — and runs the floor like an operating system.

What CloveOS is not

Heavyweight MES

Siemens · Rockwell · Honeywell

  • 12-month deployments
  • Six-figure license + integration spend
  • Hard-wired to one PLC vendor
  • Built before AI inference existed
What CloveOS is

CloveOS

AI-native · sits on the floor

  • Talks to your PLCs (OPC-UA, Modbus, S7)
  • Real-time inference at the edge
  • AI co-operators per line, per shift
  • Speaks the operator's language
  • On-premise or cloud — your call
What CloveOS is not

Dashboard SaaS

Yet-another-charts vendor

  • Pretty charts — over the floor
  • Never touches a PLC
  • Requires you to already know what's wrong
  • Stops where the laptop closes

Built for the floor.

Auto components to pharma. CNC to cement. If your factory has machines and people, we built CloveOS for you — and we're shipping with Indian manufacturers first.

primary focus

Auto components

Auto components

T1 / T2 suppliers · stamping, casting, assembly

Pharma manufacturing

Pharma manufacturing

GMP lines · packaging · batch records

Textile & garment mills

Textile & garment mills

Looms, dye houses, cut-and-sew floors

Food & beverage

Food & beverage

Process lines · packaging · shift logs

CNC & heavy machinery

CNC & heavy machinery

Job shops · machine shops · fabrication

Cement & building materials

Cement & building materials

Kilns · grinders · continuous-process plants

swipe →

Watchers

Built for the line.
Not the dashboard.

Watchers connect to your PLCs and shop-floor sensors directly. When the line moves, they see it in milliseconds — no operator alarm, no supervisor walk-around, no morning standup to surface the problem. The loop closes before anyone has to chase it.

Always on the line
stream · 47 PLCs · 312 tags8,420 reads/sec
plcmachine_03 · temp=78.2°C · stable
opcualine_2 · cycle_complete · 41.8s
mqttqa_cam_05 · defect_score=0.12
vibspindle_07 · rms=2.31g · anomaly ⚠
plcpress_02 · stroke_count=14,832
shiftop=raju · break-out · 3min
mbconveyor_4 · belt_speed=1.84 m/s
camstation_9 · part_count=4,217
plcoven_01 · setpoint=180°C · actual=179.4°C

Watches every tag

Watchers sit on your PLCs, OPC-UA endpoints, and shop-floor sensors. No SCADA seat, no HMI to click through. When the line moves, they see it in milliseconds — and build context your supervisors never had time to write down.

Learns the line
line · stamping_01 · shift_b6 nodes · 6 edges
raw inpresstrimQCreworkpalletize

Maps the real line

Every plant has the line on paper and the line in reality. Watchers learn how product actually moves — where it slows, where it loops back for rework, where the senior operator routes around a broken sensor. The tribal knowledge no SOP captures.

Observer → Co-operator
current · Watching0%
Day 1Watching
Day 14Shift cadence learned
Day 45Predicts faults
Day 90Co-pilots the line
gathering context

Becomes a co-operator

When a watcher has enough context — sensor patterns, shift rhythms, the operator's workarounds — it graduates. The thing that was watching the press line becomes a co-operator on the press line.

Death of the lone veteran

Six co-operators ran B-shift.
The veteran got to sleep.

The work that used to need a senior operator on every line — tracking presses, watching defect cameras, predicting maintenance, briefing the next shift — that's the swarm now. One veteran supervises, six co-operators do the work, and nothing falls through the cracks at 3am.

4/6
on shift
6
lines covered
10 hrs
one veteran
SC
Stamping Co-op
B-shift · Line 2 · presses
Haiku
Now · tracking press_02 cycle drift · die_03 wear at 78%
14,832 strokes
Die service in 6h
~ $0.06
per run
QV
QA Vision
24/7 · cell 5 · cameras
Edge
Now · scoring defects on bracket-A line · 4,217 parts
98.6% pass
23 borderline · 8 reject
~ $0.18
per run
MP
Maintenance Predictor
24/7 · plant-wide
Claude
Now · vibration anomaly on spindle_07 · rms 2.31g
12 flagged
3 work orders auto-filed
~ $0.22
per run
SB
Shift Briefer
Every shift change
Claude
Now · compiling B → C handover · 41 events overnight
3 briefs filed
9 priority items
~ $0.14
per run
BA
Batch Auditor
24/7 · packaging · GMP
Haiku
Now · verifying batch records for lot AC-8821
142 batches
0 deviations · 2 flagged
~ $0.34
per run
ET
Energy Tracker
24/7 · utilities
Edge
Now · compressor load 84% · suggesting 4am idle window
847 kWh saved
weekly · backfilled
~ $0.04
per run
B-shift · last night · one coordinated floor10 PM — 8 AM
10 PM
12 AM
2 AM
4 AM
6 AM
8 AM
Stamping Co-op
cycle baseline
track die wear
schedule service
QA Vision
inspect bracket-A
flag borderlines
QC handoff
Maintenance Predictor
scan FFT
trend vs baseline
file work order
notify supervisor
Shift Briefer
event sweep
rank priority
draft brief
Batch Auditor
pull records
cross-check SOPs
escalate variances
Energy Tracker
load curve
model idle window
log to brain
taskbar anchor11 handoffs across 6 co-operators · 0 gaps · 0 dropped work

Plant Brain

The veteran who never retires,
never quits, never goes home.

Every co-operator shares the same memory. Every shift, every cycle, every defect adds to it. The tribal knowledge that lives in your senior operators' heads — die quirks, machine personalities, the workaround for the busted level switch — it compounds here instead. The longer CloveOS runs, the less your floor depends on any single person.

How the Plant Brain compounds · illustrative
The longer the plant runs, the more the brain knows.
auto-resolution rate · left axis
100%50%0%
Day 1
Plant onboarding
~400facts indexed
  • +line layout · machines · PLC tags
  • +shift schedules · operator roster
  • +SOPs · safety procedures · manuals
auto-resolved30%
Week 1
First patterns
~4,200patterns observed
  • +die wear curves per SKU
  • +defect signatures by station
  • +operator workarounds decoded
auto-resolved67%
Month 1
Institutional context
~38,000decisions indexed
  • +seasonal demand variances
  • +vendor lead-time drift cached
  • +shift handover gaps learned
auto-resolved84%
Quarter 1
Deep recognition
~320,000facts + relationships
  • +cross-line dependencies
  • +historical fault genealogy
  • +GMP / ISO precedent cached
auto-resolved94%
Projection based on a 250-operator plant with 6 lines and 3 shifts.Your curve depends on line count, data access, and shift volume.
Unified layer

Manuals + sensors + tribal knowledge

Equipment PDFs, PLC tag streams, shift handover notes, supplier emails — indexed into one semantic + relational store. The thing your senior operator just <em>knows</em> about Press #3, written down at last.

One brain

Every line, shared memory

What one line learns, every line knows. Stamping fixes that worked on Line 2 surface as suggestions on Line 5. No siloed context, no re-discovering the same workaround every shift.

Multi-plant

Plant-scale or fleet-scale

One plant, ten plants, or every plant in the group. Vector, SQL, and graph in one query layer. Roll up across factories, drill into a single shift on a single line.

Built for floor chaos

The floor breaks every day.
CloveOS doesn't.

Factories run on chaos — PLCs drop, tolerances tighten, inspectors rewrite forms overnight, a new operator joins on Monday. CloveOS absorbs all of it: cycles resume from the last good state, the brain learns every fault, and the co-operators adapt to the new shape of the line without anyone touching the code.

Durable
0
cycles lost this quarter
03:14 AMOPC-UA server dropped
03:14 AMco-operators paused mid-cycle
03:18 AMall resumed from last good cycle
In-flight when it hit
Press cycles mid-stroke14
Parts at QC inspection312
Batches mid-packaging8
Work orders awaiting accept21
all resumed · zero lost cycles · zero duplicates

Doesn't break when the plant stutters

PLC dropped. SCADA timeout. Vision camera offline. Operator tablet rebooted. The physical work — cycles, QC reviews, work orders, batches — picks up exactly where it stopped.

Remembers
−67%
steps required, 90 days
Learned trace
fault_diagnosis · 2026-01-15
12 steps
fault_diagnosis · 2026-02-03
10 steps
fault_diagnosis · 2026-02-21
7 steps
fault_diagnosis · 2026-03-10
5 steps
fault_diagnosis · 2026-04-02
4 steps

The plant remembers, and gets faster at diagnosing itself

Every fault, every workaround, every operator note feeds the brain. A 12-step fault diagnosis becomes 4 next month — because the system learned your plant's quirks.

Adapts
12
schema shifts absorbed this week
Siemens project rename overnight
PLC tags v1PLC tags v2
re-mapped 312 tags · zero line stops
PLC tag remaps4
compliance forms3
MES migrations2
QA spec revisions2
operator certs1

You don't reprogram it every time the plant changes

New PLC firmware. QA tightens a tolerance. Inspector rolls out a new form. New welding cert. The co-operators adapt to the new shape of the line — no code change, no engineer on a plane to the plant.

One operating layer.
Every machine. Every protocol.

CloveOS speaks the languages your plant already speaks — PLCs, fieldbus protocols, vision systems, edge runtimes, and the ERP that runs the back office. On-premise or hybrid. Real wire-level access. Real audit trails.

Siemens S7
Allen-Bradley
Mitsubishi
Schneider Modicon
OPC-UA
Modbus TCP
MQTT
EtherNet/IP
Profinet
Ignition
SAP DMC
Wonderware
Cognex Vision
Keyence
IoT sensors
SAP
Tally
ROS 2
NVIDIA Jetson

Operator UX

Operators speak. The brain answers.
In their language. On their phone.

The floor doesn't speak English. CloveOS does — and Hindi, Tamil, Marathi, Bengali, and most of what your operators code-switch into. Every shift gets a co-operator in their pocket that already knows the line.

14:32edge · online
C
Press #3 · सहायक
Line 2 · B-shift
प्रेस #3 से अलार्म आ रहा है, क्या करूं?
press 3 ka alarm bajra hai · what do I do?
Alarm 14 = level switch. नीचे tank check करो।
alarm 14 = level switch · check the tank below
हो गया · oil level कम है
done · oil level is low
Top up कर के restart करो · Vikram bhai ko bhi inform kar diya।
top up + restart · also informed your supervisor
Press to speak…

Voice or chat

Operators wear gloves and stand at noisy machines. They press a button and speak — no typing, no SCADA seat, no HMI to find.

Hindi · Tamil · Marathi · Bengali · English

Floor operators speak the language they grew up with. The brain answers in the same one. Code-switching welcomed — हम mixed bolte hain.

Edge-first, offline-tolerant

Inference runs at the edge, near the line. If the plant network blinks, the operator's phone keeps answering. Sync resumes when it's back.

Knows your plant

Reads the Plant Brain. Knows your machines, your SKUs, your shift's open work orders. Not a generic chatbot — a co-operator that lived through last Friday's tool change.

Outcomes

What you actually get back.
The skilled-labour gap, compressed.

India's factories need 4× the senior operators they can hire. CloveOS doesn't close that gap by replacing veterans — it multiplies them. One senior on the line, six co-operators around them, and a brain that remembers every shift they ever ran.

Span of control

One veteran can supervise three lines instead of one — the co-operators handle the watching, the briefing, and the routine calls.

Before
1 line per senior
With CloveOS
3 lines per senior
Onboarding compression
5days

New operators reach productive output in a working week. The brain teaches them what veterans usually teach over months.

Before
5–8 weeks to ramp
With CloveOS
5 days to ramp
Unattended autonomy
10hrs

Night shift runs with one supervisor on call instead of a full senior staff. Co-operators handle the routine; humans handle exceptions.

Before
Full senior crew
With CloveOS
1 supervisor on call
Pre-empted faults
40%

OEE blind-spots closed. Faults the floor used to catch only after a scrap batch are now flagged before the cycle completes.

Before
Post-scrap detection
With CloveOS
Pre-scrap intervention

Numbers from current pilot deployments · varies by line type, shift volume, and existing automation

See your plant running on CloveOS
in two weeks.

We pilot one line at a time. Two weeks from kick-off to a co-operator live on your floor — wired into your PLCs, reading your shift logs, answering your operators in their language. No rip-and-replace. No 12-month MES rollout. Just one line, then the next.

One veteran supervising three lines
Every cycle auditable — PLC tag to handover note
On-premise or air-gapped (your plant LAN)
Multilingual operator UX out of the box

The crew

Four founders.
One very over-caffeinated crew.

Building the operating layer for AI that actually runs the business. Shipping from India. Hiring people who'd sooner build a kernel than a landing page.

Mukul
online
CEO

Mukul

Founder · vision + customers

Builds the impossible, then makes it fast. Debugs in his head faster than most people can grep.

Prince Tholia
online
COO

Prince Tholia

Founder · engineering + operations

Ships features by day, keeps the lights on by night. Writes code the CI can't argue with.

Aniruddh Sharma
online
CTO

Aniruddh Sharma

Founder · systems + design

Writes the kernel. Talks to Claude at 3 AM. Breaks the whole stack before lunch, fixes it before coffee.

Himanshu
online
CEO

Himanshu

Founder · product + customers

Turns product vision into roadmap. Turns strangers into customers. Turns cold emails into term sheets.

Pilot list

Put one line on CloveOS.

Join the pilot list — we're onboarding Indian manufacturers two lines at a time. We'll reach out with what we need from your side to be live in two weeks.