Enterprise robotics services

Turn robotics into an operating capability.

Solarion Robotics™ combines strategy, integration, cybersecurity, AI lifecycle governance and managed fleet operations. We design the layer around the robot so deployments can be measured, governed and scaled across the enterprise.

Discuss an engagement ↗Open Robotics Portal

THE OPERATING THESIS

The robot is only one layer of the system.

Successful deployments also require identity, software controls, networks, telemetry, human operating procedures, security boundaries and evidence. Solarion structures those dependencies into a single deployment program.

01Business caseWhat should be automated and why?

02Control architectureWhat must be governed around the machine?

03Operating modelWho owns the fleet after go-live?

Capability portfolio

Six services across one deployment lifecycle.

Engage a single workstream or combine them into an end-to-end program. Every workstream is designed to leave behind usable architecture, controls and evidence—not only presentation material.

01STRATEGY

Robotics Readiness & Enterprise Architecture

Translate robotics interest into a decision-ready operating plan before a major hardware commitment is made.

What we examine

Workflow frequency, variability and intervention points
Facility, network, edge and data constraints
Safety boundary and accountable operating owner
OEM interoperability, support and lifecycle exposure

What you receive

Prioritized automation opportunity map
Target-state architecture and integration blueprint
Vendor technical scorecard and risk register
ROI model, pilot scope and deployment sequence

OUTCOMEA board- and operator-ready case for where robotics should begin.

02ENGINEERING

Humanoid & Autonomous Robot Integration

Connect robots to useful enterprise work without collapsing management-plane controls into safety-critical motion systems.

Integration layer

ROS 2, middleware, edge gateway and API integration
ERP, WMS, MES, BMS and workflow connectivity
Telemetry normalization and operator-console integration
Environment-specific acceptance and rollback design

Control principles

Least-privilege service access
Explicit desired-versus-reported software state
Versioned interfaces and testable handover
OEM safety system remains authoritative for motion

OUTCOMEA controlled pilot or production integration with measurable acceptance evidence.

03AI SYSTEMS

AI Vision, Perception & Runtime Governance

Manage the intelligence inside the robot as a governed software supply chain rather than an opaque feature of the machine.

Runtime engineering

Computer vision and multimodal perception architecture
Edge inference and model serving patterns
Model/package manifests and deployment approvals
Latency, drift and performance observability

Evidence model

Which model was approved
Which digest was deployed
Which robot reports it running
Who authorized the change and when

OUTCOMERobot intelligence becomes versionable, inspectable and governable.

04IDENTITY

Compute Passport™ Robot Identity & Governance

Give every machine a persistent identity tied to accountable ownership, assurance state, authorized software and lifecycle status.

Passport object

CPID and accountable sponsor
Hardware binding and assurance profile
Lifecycle status and credential posture
Approved software and environment claims

Enterprise controls

IAM and policy-decision integration
CMDB and asset-inventory alignment
Audit/GRC evidence workflows
Revocation, quarantine and credential rotation

OUTCOMEKnow who the machine is, what it may run and whether it should still be trusted.

05SECURITY

Robotics Cybersecurity & Zero Trust

Treat the robot as a high-privilege mobile endpoint spanning credentials, sensors, software dependencies and access to physical environments.

Security workstream

Threat modelling and trust-boundary review
Robot/edge credential and key lifecycle
Network segmentation and service policy
Software provenance and signed update controls

Operational resilience

Quarantine and recovery workflows
Security telemetry and escalation
Incident evidence and chain-of-custody
Tabletop testing and control validation

OUTCOMEReduce the chance that a robot becomes an unmanaged bridge into enterprise systems.

06OPERATIONS

Managed Robotics Operations & Predictive Intelligence

Operate the governance and software layer around the fleet with continuous health, identity and lifecycle oversight.

Continuous operations

Fleet status, location and exception monitoring
Predictive health and maintenance triage
Software rollout and desired-state verification
Credential, incident and evidence management

Management reporting

Availability and health trends
Maintenance risk and recurring failure drivers
Software and identity compliance posture
Monthly optimization and governance review

OUTCOMEA recurring robotics control function without building every capability internally.

Engagement architecture

Move from decision to deployment without overcommitting.

Each stage creates a decision gate. Continue only when the economics, controls and technical evidence support the next investment.

012–4 WEEKS

Readiness Sprint

Opportunity map, target architecture, vendor options, risk register and pilot business case.

Decision: should we pilot?

026–12 WEEKS

Controlled Pilot

One workflow, robot class or facility integrated against explicit acceptance criteria.

Decision: should we scale?

03ROLL OUT

Production Deployment

Enterprise integration, security controls, operating procedures and production handover.

Decision: where do we expand?

04ONGOING

Managed Operations

Fleet health, software governance, machine identity, evidence and optimization.

Decision: how do we improve?

Enterprise engagement

Bring us the workflow—not a robot shopping list.

We begin with the operational problem, define the economics and control requirements, then select the technology that fits.

Start a robotics assessment ↗