Robotics deployment and safety engineers reviewing operating requirements at an engineering workstation. Illustrative generated scene.

Helios for Robotics & Autonomy

what’s next?

The robots are ready. Is the operation?

Rehearse deployment in the world it must work in.
You define the outcome. Helios finds the path.

Robotics & Autonomy

Rehearse deployment in the world it must work in.

A capable robot still needs a workable operating environment. Compare fleet plans and workflows under real demand, human interaction and safety constraints.

Meet Helios Brain

Grounded in your reality

01Operating design domain

02Fleet and workflow capacity

03Human and machine safety

Explore the Helios experience

Robotics & Autonomy

DEMO

AI-generated, hypothetical plans. No live business data, verified professional advice or real actions.

Start with a decision

Do not enter sensitive information. Prompts are processed by AI and temporarily retained for this demo.

Choose a question or write your own goal0/5 steps connected

01
Define the outcome
02
Connect dependencies
03
Compare routes
04
Check constraints
05
Human approval

Choose a question or enter your goal.The AI will create five steps and three distinct routes.

ClearPressureBlockedAssumptionDependencyApproval gateEvidence

Helios across your ecosystem

Embedded perception. Explicit human boundaries.

The robot can understand its workspace and act within an approved envelope. Deployment strategy and changes to that envelope belong to responsible human teams.

Decision authority

Deployment, operations & safety leads

Approve operating domains, task permissions, safety limits and material changes to robotic deployment.

Helios supports

Compare workflows and validate deployment assumptions before expanding autonomy.

A real industrial robot with a mounted vision camera inspecting components under human supervision. Illustrative generated scene. — Embedded robot systems & cell supervisors

Perception inside the robot

The intelligence can live in the machine.

Sensors provide local context for bounded tasks. Uncertainty, a new obstacle or a safety-boundary change should lead to a safe fallback or review, not unchecked expansion of authority.

Appropriate scope: Perform validated tasks within the approved operating and safety envelope.
Review & escalation: Human supervisors and safety authorities for uncertain or out-of-envelope conditions.
Evidence returned: Sensor observations, task outcomes, exceptions and operating-envelope evidence.

Illustrative ecosystem and interfaces, not a live deployment. Roles, integrations and approval limits are defined with each organization.

From question to decision

See the options. Understand the consequences.

Compare fleet and workflow configurations

Ground the comparison in your data, your objective and your constraints.

Test operating-envelope assumptions

Make dependencies and assumptions visible before you commit.

Plan rollout with human oversight

Carry the chosen path into a plan your team can review and act on.

Where to start

The decisions worth rehearsing.

Potential applications, scoped to your data, priorities and operating environment.

Fleet deployment under workforce constraints

Project autonomy roll-out across sites and roles. See workforce transition paths, retraining needs, and union and regulatory friction before the press release.

Operational design domain calibration

Test the boundary of the autonomy envelope. Speeds, weather, lighting, payloads. Against actual operational data. Identify where the system actually holds versus where the brochure overstates.

Safety case and incident response

Rehearse incident scenarios. Sensor failure, edge case, mis-classification. And the response policy each triggers. Build the safety case the regulator will demand.

Human-in-the-loop policy design

Compare alternative supervision modes against throughput, error rate and operator load. Identify the policy that holds safety without throttling value.

Liability and insurance positioning

Project the liability surface across operator, manufacturer, integrator and insurer. Identify the contracting structure that survives the first incident.

Capital case and unit economics

Test deployment economics across utilisation, downtime, maintenance and capital cost scenarios. Identify where autonomy actually pays back versus where it merely automates.

What it takes to start

A useful pilot starts with the right foundations.

Agree a bounded decision, a baseline and acceptance criteria before introducing operational use. Scope and timing depend on your data, governance and intended application.

The data

Recorded task, sensor and workspace observations
Operating-domain definitions and task permissions
Validation history, exceptions and fallback records

The people

Deployment and safety sponsor
Robotics, perception and cell-operations specialists
Assurance and industrial-system data owners

The evaluation

Performance and constraint adherence in a controlled test set
Out-of-envelope detection and appropriate deferral
Correct supervisory review and fallback behavior

Before operational use

Controlled non-production validation environment
Independent safety functions and named deployment authority
Approved task limits, supervision and stop procedures

When Helios should not act

Knowing when to stop is part of the decision.

Missing evidence, uncertain conditions and absent authority require different responses. A recommendation must not silently become an action.

The signal

The workspace or sensor evidence is incomplete or unreliable.

Appropriate response: Defer the affected task and request human inspection.
Responsible review: Cell supervisor and perception-validation team
Before the path resumes: The workspace and sensing assumptions are validated.

The boundaries matter

Your rules are part of the model.

Regulatory context shapes how a system should be designed and reviewed. Your legal, compliance and domain teams remain part of that process.

EU AI Act high-risk classification for autonomous systems

Machinery Regulation (EU 2023/1230)

ISO 13482 / ISO 10218 safety standards

Sector-specific liability frameworks (automotive, medical, industrial)

Context for implementation, not a certification or guarantee of regulatory compliance.

Trust and governance

Connected challenges

A different world. The same question.

Explore all 15 industries

A sensor-equipped autonomous industrial cart operating in a warehouse under human safety supervision. Illustrative generated scene.

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Physical AI & Embodied Systems

Bring your decision · Robotics & Autonomy

Start with the decision that matters to you.

The outcome, the boundaries and the people responsible. A focused starting point for a conversation about your organization.

Use high-level descriptions only. Do not include confidential, personal, patient, financial-account or classified information.