map bottleneck01
model ROI02
scope pilot03
assessment package
Automation Readiness Sprint
Convert site photos, videos, process notes, and bottleneck data into the first automation cell plan.
Factory map
ROI copilot
Cell proposal
Managed automation infrastructure for Indian manufacturers
Mattergrid
Automate the job that slows everything else.
One bottleneck. One managed cell. Prove the payback, then scale without turning the whole factory upside down.
ops
qa
mnt
flow
Flexible robot + vision cells
deployProductized cobot, vision, tooling, edge-control, and safety modules for high-ROI factory work.
robot
vision
safety
AMR
event graph
Managed service economics
paybackStart without crores of fixed capex, prove payback on one bottleneck, then scale module by module.
line healthy
Operating layer over time
moatEvery deployed cell becomes connected infrastructure that produces data, service intelligence, and process know-how.
modular model
Productized cells for factories that cannot pause to automate.
The primitive model turns automation from a custom one-time project into repeatable infrastructure: robot cells, vision nodes, tools, buffers, controls, safety, data, and support.
composition path
Bottleneck to scalable module
1Bottleneck
2Managed cell
3ROI proof
4Repeatable module
5Operating layer
primitive stack
Every cell is built to deploy, reconfigure, and scale.
Managed OS
Deploy
robots + tools
Control
edge + safety
Measure
cycles + defects
Operate
uptime + support
Compute
Robot Cell
Reusable physical work units for tending, assembly, packing, and transfer.
emitscycle event
Open primitive
Storage
Material Buffer
Smart WIP, bins, pallets, racks, and Kanban lanes with live state.
emitsinventory state
Open primitive
Network
Flow Network
Conveyors, AMRs, line-side routes, handoffs, and dispatch rules.
emitsroute intent
Open primitive
Sensors
Vision Node
Inspection, ID, guidance, traceability images, and defect evidence.
emitsquality proof
Open primitive
Functions
Tool Plugin
Grippers, fixtures, welders, feeders, printers, and process heads.
emitsrecipe action
Open primitive
Control Plane
GridOS
Registers modules, schedules recipes, coordinates cells, and exposes APIs.
emitsorchestration
Open primitive
Security
Safety Layer
Zones, scanners, interlocks, risk logic, access, and audit history.
emitssafe state
Open primitive
Support
TechConnect
Remote experts, diagnostics, guided recovery, and maintenance playbooks.
emitsuptime case
Open primitive
managed cell simulation
Packaging cell to factory memory
robot cellvision gateflow networkAMR handoff
The visual model is the line itself: parts, machines, safety envelope, handoffs, and telemetry. GridOS coordinates modules above machine-level control.
component catalog
Every primitive has a job, interface, and telemetry trail.
The bento model is the product model: compact, repeatable modules that can be sold, deployed, monitored, and recomposed.
Robot Cell
Programmable physical work capacity for tending, handling, assembly, and packaging.
open primitive →Material Buffer
Smart WIP, bins, pallets, racks, and line-side storage with live inventory state.
open primitive →Flow Network
Conveyors, AMRs, buffers, scan points, and routes for dynamic material movement.
open primitive →Vision Node
Inspection, identification, measurement, traceability, and robot guidance.
open primitive →Tool Plugin
Quick-change grippers and process tools that make one robot reusable.
open primitive →Safety Layer
Scanners, light curtains, safety PLC logic, and reconfiguration-ready risk files.
open primitive →GridOS
OPC UA control plane for module registry, recipes, telemetry, and integrations.
open primitive →→ fault: gripper low vacuum
→ playbook: check cup seal
→ expert: online
TechConnect
Remote expert support, guided diagnostics, local-language playbooks, and uptime care.
open primitive →factory execution network
Control locally. Learn globally.
Real-time motion, machine control, and safety run at the edge. Production data flows into GridOS, where copilots improve proposals, inspection, maintenance, changeovers, and line balance.
.map()
Factory pain
Bottleneck + ROI
.execute()
Managed cell
Robot output
.move()
Material flow
Routes + buffers
.inspect()
Quality proof
Defects + images
.changeover()
Tool recipe
SKU flexibility
.govern()
Local edge
Safety + control
.learn()
GridOS
Factory memory + AI
example architectures
Real deployments built from the same modular cell primitives.
Each example shows how one high-ROI use case can start small, prove return, and expand into a connected automation footprint.
Blank / finished trays
Material Buffer
Tending robot
Robot Cell
Gripper set
Tool Plugin
Part orientation
Vision Node
Machine zone
Safety Layer
Cycle + recipe control
GridOS
Remote recovery
TechConnect
precision manufacturing
precision manufacturing
7 primitivesCNC Tending Pod
One operator supervises multiple machines while robots handle repetitive load and unload work.
robot-cellmaterial-buffervision-nodetool-pluginsafety-layer+2
Open architecture Finished part flow
Flow Network
Inspection recipe
Vision Node
Reject buffer
Material Buffer
Divert / rework action
Robot Cell
Evidence graph
GridOS
Defect summary
GridOS
Quality escalation
TechConnect
discrete manufacturing
discrete manufacturing
5 primitivesQuality Traceability Gate
Every shipped part leaves with inspection evidence, lot context, and a searchable defect trail.
vision-noderobot-cellmaterial-buffergridostechconnect
Open architecture Stores / supermarket
Material Buffer
Shortage signal
GridOS
Route intent
Flow Network
AMR zones
Safety Layer
Line-side buffer
Material Buffer
Flow observability
GridOS
Route support
TechConnect
factory logistics
factory logistics
5 primitivesAMR Line Replenishment
Material moves from stores to line-side buffers before operators run out.
material-bufferflow-networksafety-layergridostechconnect
Open architecture Component inventory
Material Buffer
Kit build station
Material Buffer
Kit verification
Vision Node
Line delivery
Flow Network
Build recipe
GridOS
Assembly cell
Robot Cell
Missing-part case
TechConnect
electronics and assembly
electronics and assembly
5 primitivesWarehouse to Production Kitting
Kits arrive complete, sequenced, and verified before the assembly cell needs them.
material-buffervision-nodeflow-networkgridostechconnect
Open architecture Case infeed
Flow Network
Pack robot
Robot Cell
Format tooling
Tool Plugin
Label proof
Vision Node
Pallet buffer
Material Buffer
Dispatch state
GridOS
Palletizing zone
Safety Layer
consumer goods logistics
consumer goods logistics
7 primitivesPackaging and Palletizing Cell
Cases, labels, pallets, and dispatch proof flow through one modular end-of-line cell.
robot-celltool-pluginvision-nodematerial-bufferflow-network+2
Open architecture Matched cell buffer
Material Buffer
Assembly robot
Robot Cell
Torque / dispense tool
Tool Plugin
Placement inspection
Vision Node
Validated station
Safety Layer
Module genealogy
GridOS
Process escalation
TechConnect
advanced manufacturing
advanced manufacturing
7 primitivesEV Battery Module Assembly
Cells, fixtures, torque, inspection, and traceability connect into one controlled module line.
material-bufferrobot-celltool-pluginvision-nodesafety-layer+2
Open architecture Lot-controlled material
Material Buffer
Dose / fill / seal
Tool Plugin
Label + fill check
Vision Node
Access + state rules
Safety Layer
Batch record
GridOS
Deviation case
TechConnect
Release decision
GridOS
food, pharma, chemicals
food, pharma, chemicals
6 primitivesRegulated Batch Line
Batch identity, inspection evidence, recipe steps, and deviations stay connected.
material-buffervision-nodetool-pluginsafety-layergridos+1
Open architecture Style / lot infeed
Material Buffer
Defect detection
Vision Node
Sort action
Robot Cell
Pass / rework routing
Flow Network
Rework buffer
Material Buffer
Yield trends
GridOS
Model tuning
TechConnect
textiles and apparel
textiles and apparel
6 primitivesTextile Inspection and Sorting
Fabric, garments, defects, sorting, and rework lanes become visible in real time.
vision-nodeflow-networkmaterial-bufferrobot-cellgridos+1
Open architecture Live module fleet
Robot Cell
Inspection alarms
Vision Node
Route delays
Flow Network
Safety stops
Safety Layer
Context bundle
GridOS
Expert + AI triage
TechConnect
Updated playbook
TechConnect
managed operations
managed operations
6 primitivesRemote Recovery Room
Every deployed module can ask for help with telemetry, context, and playbooks attached.
gridostechconnectrobot-cellvision-nodeflow-network+1
Open architecture Plant A modules
Robot Cell
Plant B modules
Flow Network
Event graph
GridOS
Quality proof
Vision Node
Inventory state
Material Buffer
Leadership cockpit
GridOS
Site playbooks
TechConnect
operations leadership
operations leadership
6 primitivesMulti-site Factory Observatory
Plants, cells, lines, and logistics routes roll up into one operating picture.
gridosrobot-cellvision-nodeflow-networkmaterial-buffer+1
Open architecture deployment proof
The buying model is designed for factories that need proof before scale.
The promise is not only lower capex. It is faster deployment, flexible reconfiguration, managed uptime, and production data that compounds after every cell goes live.
1 cell
proofStart where ROI is obvious
Pick one bottleneck like inspection, machine tending, packing, palletizing, assembly, or material movement.
No crores
proofAvoid fixed automation bets
Use setup plus managed service pricing instead of locking capital into one rigid production line.
Reworkable
proofReconfigure as products change
Cells combine cobots, machine vision, tooling, edge controls, and safety so the same footprint can evolve.
24/7
proofOperate after install
Remote monitoring, maintenance playbooks, spares, and expert support keep the automation productive.
01
Scope the cell
02
Prove the return
03
Scale the grid
offerings
What customers buy first.
Not raw robots or sensors. Managed production outcomes that start with a measurable cell, stay connected after deployment, and compound into factory intelligence.
first automation package
Machine Tending Starter
Deploy a managed robot cell for one repetitive machine-side job with uptime support and cycle data capture.
CNC or press tending
Cycle telemetry
Managed recovery
quality package
Quality Gate Starter
Install an AI-assisted inspection node that captures evidence, defect labels, and quality trends from day one.
Vision QA copilot
Traceability images
Defect memory
intralogistics package
Material Flow Starter
Connect buffers, stations, routes, and AMR handoffs so cells stay fed and movement becomes measurable.
Line feeding
WIP visibility
Route data
robot
vision
safety
AMR
event graph
data foundation
Factory Intelligence Layer
Normalize machine, robot, vision, quality, operator, energy, route, and support events into one learning model.
Event graph
Factory memory
AI context
line healthy
observability package
Line Observatory
Monitor throughput, downtime, defects, energy, route delays, and ROI proof across deployed cells.
Fleet monitoring
Bottleneck map
Payback proof
ops
qa
mnt
flow
AI agent package
Factory Copilot
Give operators, maintenance, quality, and flow teams grounded recommendations from real production context.
Alarm guidance
Changeover help
Shift intelligence
planning package
Layout Simulation Studio
Use deployment data, digital twins, and cell templates to compare layouts before moving hardware.
Cell design copilot
Scenario comparison
Capacity planning
→ fault: gripper low vacuum
→ playbook: check cup seal
→ expert: online
support package
Managed Uptime Plan
Operate every cell with remote diagnostics, preventive maintenance, playbooks, and expert escalation.
Remote assistance
Predictive service
Expert escalation
1
install
2
support
3
upgrade
managed rollout package
Automation Subscription
Lower upfront capex with setup fees, monthly service, usage pricing, support, spares, and financing partners.
Monthly plans
Usage pricing
Scale roadmap
ecosystem package
Certified Module Marketplace
Turn repeated deployments into certified cells, tools, fixtures, data adapters, and partner modules.
Certified interfaces
Partner modules
Reusable playbooks
operating strategy
The service-to-platform flywheel.
Mattergrid should not scale by selling bigger custom projects. It should scale by deploying repeatable cells, operating them as a service, and turning field data into better modules.
01pilot
Win the first cell
Start with one painful process, one managed cell, and one measurable output improvement.
pilot
playbook
SKU
price
partner
support
02memory
Capture the data
Turn cycles, downtime, defects, interventions, and maintenance into reusable operational know-how.
cell
data
agent
api
03network
Improve the network
Use AI agents, monitoring, and support playbooks to improve uptime, quality, throughput, and ROI.
Compounding path
pain
cell
data
copilot
network
What compounds
India-specific deployment data
Defect and downtime memory
Factory event graph
Operator and maintenance copilots
packages
Three ways to buy modular automation.
Keep the first deployment financeable, operate it as a service, then let the operating layer compound across cells, lines, and sites.
pilot package
Cell Pilot
Setup + monthly
One managed automation cell for one measurable production constraint.
Factory assessment
ROI model
Robot or vision cell
Uptime support
cell
flow
vision
managed expansion
Managed Network
Usage / output
Multiple cells operated as flexible automation infrastructure.
Tending + inspection
Packing + flow
Fleet monitoring
Predictive service
API
MES
WMS
QMS
ERP
platform subscription
Operating Layer
Platform
The data and AI layer that compounds across cells, lines, and sites.
Factory event graph
AI agents
API integrations
Benchmarking
Start with one painful process.
Pick the bottleneck, map the managed cell, price the output model, and prove the ROI before scaling the network.