This page is an agent running on POLARIS.
Factory AI platform

POLARISfor Manufacturing

POLARIS agent · live session
SYSTEM1 · tools that actSYSTEM2 · agents that reason

Think together. Act instantly.

One AI platform for production, robots and quality. Agents reason with SYSTEM2 and act through SYSTEM1 tools. POLARIS keeps the whole team coordinated.

Start with one agent → Explore POLARIS ↓

Tool calls and demos on this page are illustrative.

Manage
Orchestration
Simulate
Digital Twin
Train
TRAINER
Improve
Governance

Why AI on the production floor

Better planning

Optimize production and resources.

Higher productivity

Produce more with existing equipment.

Less downtime

Prevent failures and interruptions.

Lower costs

Save energy and reduce waste.

Better quality

Fewer defects and less rework.

01 · POLARIS
SYSTEM2

Many agents. One factory.

Individual agents solve specific problems. A factory needs them to work as one team. Four questions decide whether they can.

POLARIS turns individual agents into a coordinated team.

SYSTEM2 Agents · tap one
IQ series · ready
Agent templates · built for your mission
+ Your mission
Selected · Robotic Agent IQ-130
SYSTEM2Adds an agentic layer to existing machines and robots.
SYSTEM1› controller.request("prepare_task")accepted
SYSTEM2Machine prepared for the next task.
POLARIS
01OrchestrationPlan and coordinate agents and robots
02Digital TwinSimulate operations, compare options
03TRAINER →Learn better decision policies
04GovernancePermissions, approvals, monitoring
Data integrationModels & toolsPolicy managementMonitoring & audit
Factory systems Models Servers Cloud Security
SYSTEM1Tools & infrastructure

POLARIS manages the mission. Local controllers manage the machines.

02 · IQ in actionRuns on POLARIS
SYSTEM2

The IQ series at work.

Ready-made agents for the factory floor. Pick one and give it a task.

Fusion-IQ

Factory Manager agent

The factory's intelligence. A co-pilot for managers.

  • Combines documents, sensors and factory data.
  • Gives managers a unified view of operations.
  • Identifies problems and helps prioritize actions.
Fusion-IQ · consoleillustrative
03 · Digital Twin + TRAINERPart of POLARIS
SYSTEM2

Simulate first. Then train.

Test changes in the Digital Twin before you touch the floor. TRAINER then uses simulation and expert planning to learn fast decision policies, tested before deployment.

Digital Twin · what-if · illustrative

“Can we increase production by 15% using our existing robots?”

Plan A · more AMR shifts—
Plan B · rebalance stations 3–4—
Plan C · rebalance + AMR task sharing—
│ target +15%
LEVEL 1

Individual agent training

Improves the decision policy of a single agent or robot. Example: a robot learns to pick tasks with less waiting time.

LEVEL 2

Team training

Improves how agents and robots coordinate and share tasks. Example: a fleet of AMRs learns to reduce delivery delays, shown below.

TRAINER · team training · run 1 / 3 · illustrative
TRAINER log
01POLARIS identifies the problem
02Digital Twin simulates alternatives
03TRAINER learns better policies
04POLARIS deploys and monitors
04 · Agents as a service
SYSTEM2

Start with one agent. Scale across the factory.

Start fast with the IQ series, or get agents built for your mission on POLARIS.

01

You define the mission

Goals, constraints and the systems involved.

02

We build and train the agents

With TRAINER, on your Digital Twin.

03

They run on POLARIS

Cloud or on-prem, monitored and audited.

Agent templates

ProductionQualityMaintenanceInspectionLogistics

Agent Builder

Create new agents from approved models, tools, data and policies.

Standard connectors

RobotsMESERPVision systemsAPIsDatabases
05 · Why us
SYSTEM2

Structured intelligence, not a giant neural net.

Agent teams on the factory floor need reasoning, planning and safe execution working as one.

Multi-robot and agent teaming

Robots and software agents work toward one mission.

Low-latency System-2 decisions

Fast, safe decisions at scale with POLARIS Fast-Path.

Offline policy training

TRAINER teaches teams in simulation before deployment.

Hardware-agnostic

Works with different equipment and AI models.

System-1 customization

We adapt the low-level integration to your machines.

SYSTEM1 › deploy.target()

Cloud or on-prem. Secure. Private. Under your control.

06 · Act · Talk to a human
SYSTEM2

Bring POLARIS to your factory.

Tell us the mission. We start with one agent and scale from there.

SYSTEM1 › handoff.prepare()ready
SYSTEM1 › form.await()waiting for you

We're building a digital workforce. Join us →