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Enterprise AI for Real Factory Work

See → Understand → Act.

Live multi-modal signals → Executable world model → Safe robot action.

FactorySpace turns radio chatter, cameras, and machine signals into real-time operational intelligence that helps teams understand work, reduce downtime, and safely guide robots.

Factory Brain in action
Next step: Route wire to C-12  ·  Action verified  ·  Error prevented
Wire harness assembly workcell
The factory stack has a blind spot

ERP sees orders. MES sees schedules. PLCs see machines. Cameras see pixels. FactorySpace understands work — what happened, what changed, who acted, and what should happen next.

How FactorySpace is structured

Intelligence first. Execution next.

FactorySpace connects live workcell understanding to safe physical action — so factories can move from visibility to verified execution.

FactorySpace is not another dashboard. It is the intelligence and execution layer for real factory work.

System of Intelligence
Factory Brain

Sees the work, understands live workcell state, remembers what happened each shift, and identifies the next safe action.

Safety + Verification Layer
FactorySpace Runtime

Checks constraints, approvals, and business rules before any action reaches a robot, PLC, machine, or operator workflow. Stores every action and outcome.

System of Execution
Robot Operators

Carry out supervised physical tasks once the workcell is understood, verified, and safe to act on.

Business intent → Factory BrainFactorySpace RuntimeSafe physical action
Starting with one cell

What the first production cell proves.

Start camera-first on one high-value workcell. FactorySpace proves whether live video can surface losses, verify steps, replay incidents, and identify the first supervised workflow — without replacing existing systems.

Outcome 01
Hidden delays surfaced

Waiting machines, empty trays, blocked workflows, missing operators, and missed cycles become visible for the first time — with timestamps and production loss estimates.

Outcome 02
Replayable shift memory

See exactly what happened before a delay, failure, or missed action. Every state, event, and outcome stored per shift and available on demand for diagnosis and audit.

Outcome 03
Faster debugging

Understand whether an issue came from the machine, robot, operator, part flow, or process sequence — without relying on manual observation or operator recall.

Outcome 04
Next safe action

Factory Brain identifies whether the next action should go to an operator, robot, machine, or supervisor — aligned with live production goals and business intent.

Design partner criteria

Is your cell a fit?

FactorySpace is best for production cells where missed steps, manual verification, waiting time, operator shortage, or rework create measurable loss.

Repeatable workflow

The cell runs a defined sequence of steps that can be observed, mapped, and verified from live video.

Visible process state

What happens in the cell is physically observable — parts, tools, boards, steps, and operator actions are visible on camera.

Measurable loss

Missed steps, waiting time, rework, or manual verification burden create real, quantifiable production loss per shift.

Path to execution

There is a clear path from operator guidance to robot-assisted execution once the workflow is understood and verified.

First design-partner use case

Wire harness assembly.

Analog formboards are manual, space-heavy, hard to change over, and difficult to verify in real time. Factory Brain watches the board, understands the route, guides the next step, verifies completion, and creates replayable shift memory.

Wire Harness Assembly

Pain
Analog formboards are manual, space-heavy, hard to change over, and difficult to verify in real time. Missed steps and incorrect routing are caught late or not at all.
Factory Brain
Understands board layout, wire routes, clamps, connectors, operator steps, and next required action from live video — guiding operators and verifying each step as it happens.
Execution path
Guide operators first. Then add robot-assisted routing, holding, inspection, and verification under supervision as confidence is established.
Next high-value cells

Where Factory Brain expands next.

CNC Machine Tending

Machines wait when operators miss cycle-complete. Factory Brain detects completion, identifies idle risk, and dispatches the next task to a robot or operator. Outcome: less machine idle time, fewer missed cycles.

Inspection

Defects found late or inconsistently. Factory Brain watches checkpoints, flags missed or delayed steps, triggers image capture, and verifies pass/fail. Outcome: fewer missed defects, better traceability.

Robotic / Dispensing Cells

Failures repeat without a full state record. Factory Brain replays failures, debugs cycle delays, and verifies whether robot or dispenser actions completed correctly. Outcome: faster debugging, fewer repeat failures.

FactorySpace Platform

The product stack for verified factory action.

FactorySpace combines intelligence, execution, safety, memory, and connectors so companies can move AI from dashboards into supervised, verified physical action — starting with one production cell.

System of Intelligence
Factory Brain

Builds live semantic workcell state from cameras and factory signals. Detects waiting, exceptions, and blockage. Generates the next safe action aligned with business intent.

System of Execution
Robot Operators

Supervised execution workflows for machine tending, inspection, part handling, and material movement — under Factory Brain supervision with safety checks.

Safety & Memory Layer
FactorySpace Runtime

Deterministic safety checks before every action. Approvals, verification, and deployment controls. Full record of every state, action, and outcome per shift.

Integration Layer
Connectors

Designed to connect progressively with CNC controllers, PLCs, cameras, robots, sensors, ERP, MES, and operator workflows. Early deployments begin camera-first — deeper integrations activate where useful.

Core platform capabilities

FactorySpace gives every production cell the context, memory, safety, and execution layer needed to apply AI safely inside real operations.

Live Workcell Context

Machines, parts, trays, tools, operators, robots, and production goals represented as live factory state — continuously updated against incoming business orders.

Replayable Factory Memory

State history, exceptions, robot actions, operator actions, and outcomes stored per shift — available for diagnosis, audit, and workflow improvement on demand.

Workflow Verification

Subgoals, constraints, approvals, and verification before and after every action — across robots, operators, PLCs, and automation systems.

Deterministic Safety Runtime

Every action passes safety checks and business rule validation before reaching a robot, PLC, or machine. Not optional, not configurable out.

Who it is for

Built for the teams closest to the production cell.

FactorySpace is for manufacturers, system integrators, and technology partners who need AI to move from pilots into verified, supervised factory workflows.

Manufacturers
Bring one painful production cell where missed steps, waiting, or rework create measurable loss.

FactorySpace starts camera-first on that cell, maps how work happens today, surfaces losses, verifies steps, and identifies the first supervised workflow — before committing to a large integration project.

What you get: hidden losses quantified, automation opportunities ranked, verified steps from day one.
System integrators
Add Factory Brain to robotic and automation cells for better commissioning, replay, and customer handoff.

Deploy Factory Brain alongside any robotic deployment. Customers get incident diagnosis, remote visibility, after-sales intelligence, and a clear upgrade path from one cell to fleet.

What you get: faster commissioning, incident diagnosis, a replayable record of every cell you build.
Robot / sensor / vision partners
Connect your product to live workcell context, safety runtime, and verified execution workflows.

Connect your robot, sensor, or vision model to live workcell context, safety constraints, business priority, and verified workflows — so your product moves from demo to production deployment faster.

What you get: more credible pilots, faster deployment, a path from demo to fleet.
How it works

From live video to verified factory action.

Five steps. From bringing in available signals to confirming the action worked — with deterministic safety checks at every stage.

01 — Connect
Start with cameras.

Add ERP, MES, PLC, robot, and sensor signals progressively as deployment expands and value is proven.

02 — Understand
Factory Brain builds live workcell state.

Machines, parts, trays, tools, robots, and operators mapped into a live semantic model against incoming business orders.

03 — Decide
The system identifies the next safe action.

Detects waiting, exceptions, blockage, and constraints — then generates the next executable goal aligned with business priority.

04 — Execute
The task routes to the right actor.

A validated instruction routes to an operator, robot, PLC, or automation workflow — through deterministic safety and approval checks.

05 — Verify
FactorySpace confirms the outcome.

Confirms the desired state was reached and stores a replayable record of every action, detection, and outcome.

Design partner program — limited slots

Start with one production cell.

FactorySpace works with selected design partners to map a real production cell, capture live context, replay incidents, and identify the first supervised workflow. Our engineers work directly with your plant, automation, and IT teams to configure and prove the first deployment.

01
Map one production cell

Camera-first. Existing cameras or a simple camera kit. Live operations captured from day one. No PLC required to start.

02
Build live workcell context

Factory Brain maps machines, parts, trays, operators, robots, and cycle states into a live semantic model of the cell — against incoming business orders.

03
Surface losses and exceptions

Waiting and idle-time visibility. Bottleneck and exception replay. Hidden losses made visible per shift.

04
Identify first supervised workflow

Rank automation opportunities with estimated impact and fit — robot, sensor, integrator, or operator workflow — before committing to integration.

05
Define integration roadmap

Recommended connections for ERP, MES, PLCs, robots, sensors, or operator apps — progressive, not all at once.

06
Plan repeatable rollout

Proven deployment approach from one cell to additional workflows, cells, and sites — with the same product stack.

Forward-deployed engineering
Our engineers work with your team on the first cell.

FactorySpace engineers work directly with your manufacturing, automation, and IT teams to map the first production cell, configure Factory Brain, connect available systems, and identify the highest-value supervised workflow.

The goal is a repeatable product deployment — not a one-off custom project.

Design partner deliverables
  • Live workcell context model
  • Replayable event memory
  • Waiting and exception visibility
  • First supervised workflow candidate
  • Integration roadmap for ERP, MES, PLCs, robots, sensors, or operator apps
  • Deployment plan for repeatable rollout
Build on FactorySpace

For partners helping deploy the first intelligent workcells.

FactorySpace works with robots, sensors, vision systems, and integrators that need live workcell context, safety runtime, and verified execution inside real production environments.

Workcell Context Integration
Access live factory state, events, and next-action recommendations.

Early partners can work with FactorySpace to define integration points for live workcell state, events, exceptions, and workflow actions — so your robot, model, or automation tool always knows what is happening and what to do next.

FactorySpace Runtime
Route actions through safety checks, approvals, and verification.

Every action from your product passes through deterministic safety checks, business rule validation, and post-action verification before reaching robots, PLCs, or machines. Designed for enterprise production environments.

Progressive Connectors
Integrate with factory systems as deployment expands.

Designed to connect progressively with CNC controllers, PLCs, cameras, robots, sensors, ERP, MES, and operator workflows. Camera-first on day one — deeper integrations activate where useful and where the customer is ready.

How this scales

The wedge is one cell. The platform is every workcell.

Each deployment creates reusable workcell models, workflow templates, verification rules, action history, and integration patterns — so expansion across cells, lines, and sites reuses everything built in the first cell.

Step 01
One production cell

Map the first workcell. Build live context and replayable event memory. Make waiting and exceptions visible for the first time.

Step 02
One supervised workflow

Identify the first workflow to monitor, recommend, or execute — wire harness assembly, machine tending, inspection, or part handling.

Step 03
Multi-cell rollout

Reuse the same context model, safety runtime, and workflow supervision across similar cells, lines, and shifts — without starting over.

Step 04
Site operating layer

Connect factory systems, robots, sensors, operators, and AI tools into a common intelligence and execution layer across one plant or operating site.

Automate 2026 — Chicago, June 22–25

Does your cell fit?

We are selecting design partners with one high-value production cell where missed steps, manual verification, waiting time, operator shortage, or rework create measurable loss. Bring us one painful cell.

Apply as design partner

We will start camera-first, map the workflow, surface losses, verify steps, and identify the first supervised workflow.

Factory Brain Robot Operators FactorySpace Runtime Design Partner Program