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AI × INDUSTRY × PEOPLE

Real work.
Understood.

AI SOP understands human work and verifies critical steps and their sequence, helping identify omissions earlier and trace exceptions back to the process.

We care about every critical action and the people doing the work.
Understand the process. Make decisions with clear evidence.

Starting with AI SOP, explore our roadmap
A technician assembling a metal component with a powered tool

Verify the result. Understand the process.

A finished result may not reveal whether every critical step was completed in order. When an exception occurs, knowing which step was involved matters.

Step omissions

Was the critical operation completed?

Sequence deviations

Was the right action taken at the right time?

Limited traceability

Can we return to what happened?

SOP in action

Observe the operation. Verify each step.

Pick, position, fasten. Verify both critical steps and their sequence. Choose a path to explore how decisions are made.

Pick part
Person
Tool
Part
AI SOPPerson → Part · PickingViewing step: Pick part
Observation progress 0/3
Step details

Pick part

Relate the operator’s contact with the part to the picking step. The tool remains at the workstation and is not yet involved.

Require the part to enter the observation area to confirm picking.

Start the demonstration to explore each step and its decision criteria.

Operating boundaries

Validate camera views, lighting, occlusion, fixtures and movement variations before deployment. Define device protocols and triggers, and confirm interface permissions and data fields.

Discuss your operation

Document the process. Trace the outcome.

Connect actions with steps, states with outcomes. Select a step to find its place in the process record.

Assembly process record

Pick part

Pending

Start the demonstration to explore each step and its decision criteria.

Review this step ↖
Step events
What action occurred
Sequence
How actions connect
Decision criteria
Whether requirements are met
Process context
Trace an outcome back to its steps
Field validation

Real conditions.
Verified capabilities.

Confirm workstation conditions and critical steps. Validate decision rules with site samples, then define deployment and acceptance criteria.

Site constraints

Workstation, lighting, occlusion and process variation

Validation method

Sample coverage, exception definitions and decision criteria

Operational evidence

Actual footage, records and interface responses

Acceptance boundaries

Confirm deliverable capabilities under agreed conditions

Validation covers lighting, occlusion, fixtures and variations in movement.

Explore selected engagements ↘
Selected engagements

Real environments. Practical applications.

Different production environments require different ways of observing and coordinating work.Our engagements span line balancing, factory-wide operation verification and automated-line integration.Each solution addresses a specific production need, with its implementation scope clearly defined.

BOELine balancing40 workstationsExplore engagement

Production task

Line-balancing analysis focused on production operations.

Implementation scope

Coverage of 40 workstations.

Solution focus

Understand production rhythms across workstations through operation-level analysis.

Discuss a similar application ↗
Tianma MicroelectronicsFactory-wide operation verification70 workstationsExplore engagement

Production task

An AI SOP solution organized for an entire factory.

Implementation scope

Coverage of 70 workstations across the factory.

Solution focus

Build a factory-wide AI SOP application around workstation-level verification.

Discuss a similar application ↗
SchaefflerAutomated-line coordinationApproximately 50 IoT devicesExplore engagement

Production task

Device integration and coordination for one automated production line.

Implementation scope

Approximately 50 IoT devices, including cameras, microphones, speakers and projection lights.

Solution focus

Coordinate on-site capabilities through IoT, 3D motion capture and Agent.

Discuss a similar application ↗
Automotive industryApplications across production settingsMagna · ZF · BAIC GroupExplore engagement

Production task

Work with automotive customers across different production settings.

Implementation scope

Customers include Magna, ZF and BAIC Group.

Solution focus

Design solutions around specific production problems, with scope defined for each project.

Discuss a similar application ↗
Product coordination

From individual operations to coordinated production.

AI SOP is a practical starting point. Structuring work processes and connecting them to equipment and systems is our direction of development.

AI SOP at the core. Complementary capabilities in coordination.

AR guidanceBring instructions to the workstationView capabilities and integration

Production problem

How can step instructions reach the person doing the work?

Working with AI SOP

Bring guidance to the workstation and relate it to SOP steps and feedback, helping operators understand what comes next.

Integration conditions

Define workstation space, guidance method and site safety requirements.

Discuss integration ↗
3D motion captureUnderstand movement and spatial relationshipsView capabilities and integration

Production problem

How can movement and spatial relationships beyond a single 2D frame be understood?

Working with AI SOP

Capture human pose and 3D skeleton data, providing movement and spatial context through agreed interfaces for digital twins and other systems.

Integration conditions

Calibrate and synchronize capture. Delivery ends at the agreed skeleton data interface; validate site samples.

Discuss integration ↗
IoT + AgentConnect equipment and data interactionsView capabilities and integration

Production problem

How can operation decisions connect with equipment and business systems?

Working with AI SOP

Connect workstation lights, projectors and speakers; prioritize commands, retain execution responses and query status through an agent.

Integration conditions

Confirm protocols, permissions and triggers. No direct control of PLCs, safety systems or critical alarm resets.

Discuss integration ↗
Intelligence hubConnect tools, data and knowledgeView capabilities and integration

Production problem

How can configuration and process information across workstations be organized?

Working with AI SOP

Connect tools and business systems, organize data and knowledge, and assist querying, analysis and task orchestration through agents.

Integration conditions

Configure tool access per project. Actions require appropriate permissions, confirmation and audit records.

Discuss integration ↗

Verification at each workstation. Coordination across the system.

AI SOP is the core. Visual capture provides observations, edge computing evaluates steps, and management and interfaces connect records, equipment and production systems.

Start with one workstation and extend the same architecture. Verify work locally and organize process records across the system.

  1. Observation and capture

    Camera images → Objects and actions

  2. Verification at the edge

    Action events → Step rules → Decisions and feedback

  3. Management and coordination

    Process records → Workstation management / Equipment interfaces / Business systems

Configure your workstation topologyDeployment, device coordination and interface permissions are defined per site; the system remains outside safety control loops.
Starting with AI SOP

From operation verification to industrial intelligence.

From operation verification today to platform coordination, structured process data and broader industrial intelligence. Each step grows from real products and site validation.

  1. Current product

    AI SOP

    Understand human work.Verify critical steps and sequence.

  2. Platform expansion

    AI SOP Platform

    AI SOP at the core.Coordinate Vision, Motion, IoT and Light Guidance.

  3. Process intelligence

    Human Operation Intelligence

    Structure production processes.Link actions, steps, states and outcomes.

  4. Long-term vision

    Industrial Physical Intelligence

    From understanding human workto broader industrial physical intelligence.

Operation verification is the starting point. Platform coordination extends its reach, while process data provides the foundation for deeper industrial intelligence.

Return to product coordination
About KVISIOAI

Technology that understands work. A commitment to the people behind it.

We care about production as it happens, and the people who make it happen. Respect experience and effort. Hold results to clear standards. Let ambition grow from real capabilities.

Warmth in our brandRigor in our productsDepth in our technologyAmbition in our vision
For customers

Your production needs. Our starting point.

Start with an operation, a critical step or a problem on your factory floor. Talk it through with us.

Investment & industry partnerships

Grounded in products. Open to possibilities.

We welcome investors and industry partners who share a long-term interest in industrial intelligence to discuss our product progress, applications and direction.

Careers & collaboration

Understand the work. Build the product.

If your interests lie in machine vision, operation understanding or industrial systems, we welcome a conversation about your experience and opportunities to work together on real production challenges.