Service Integrator Programme

Bring Edge AI Into Real-World Operations

Unarvu AI works with system integrators to deliver practical Edge Vision Intelligence solutions for smart cities, infrastructure, utilities, industrial facilities and other operational environments.

Combine your customer relationships, deployment experience and system-integration capabilities with our edge AI technology, use-case models and intelligence platform.

Expand Your Solution Portfolio With Edge AI

Service integrators can extend existing CCTV, IoT and smart-infrastructure projects with local AI detection, event intelligence and operational dashboards.

Ready Use-Case Foundation

Start with defined detection use cases instead of building the complete computer-vision stack from the beginning.

Edge-First Architecture

Process relevant events closer to the camera to support faster response, reduced bandwidth usage and privacy-conscious deployment.

Flexible Integration

Connect detection events with dashboards, alerts, APIs, webhooks and existing customer systems.

Local Technical Support

Work with a Malaysia-based technology team during solution design, validation and deployment.

What You Bring

  • Customer and industry relationships
  • Site assessment
  • CCTV and network experience
  • Hardware installation
  • Connectivity setup
  • Platform and API integration
  • Project management
  • User training
  • First-level operational support
  • Ongoing site maintenance

Service integrators remain close to the customer and operating environment, helping ensure that the final solution fits the site's technical and operational requirements.

What We Provide

Unarvu AI
  • Computer-vision model foundation
  • Use-case configuration
  • Event and alert intelligence
  • Model validation support
  • Dashboard and API capabilities
  • Site-specific model-improvement pathway
Cre8 IoT
  • Edge and IoT hardware ecosystem
  • Connectivity options
  • Device and platform integration support
  • Deployment architecture
  • Technical implementation experience
  • Solution-engineering support

Together: Unarvu AI and Cre8 IoT provide the intelligence, technology and implementation foundation, while the service integrator leads customer engagement, site delivery and ongoing support.

From Opportunity to Deployment

Step 1

Identify

The service integrator identifies a customer challenge and suitable operational use case.

Step 2

Assess

The parties review the site, cameras, connectivity, event requirements and integration needs.

Step 3

Configure

Unarvu AI prepares the suitable detection and intelligence configuration for the proposed environment.

Step 4

Pilot and Validate

The solution is tested using representative footage and real operating conditions before broader deployment.

Step 5

Deploy and Support

The service integrator leads implementation and customer support, with technical assistance from Unarvu AI and Cre8 IoT.

Designed for Malaysian Operating Environments

Solutions can be configured for local environments, including tropical weather, changing light conditions, mixed traffic behaviour, public-space operations and different connectivity constraints.

  • Local authorities and municipalities
  • Property and facility operators
  • Industrial parks
  • Utility operators
  • Construction and infrastructure projects
  • Transport operators
  • Public-space operators
  • Environmental management teams

These are potential market segments, not existing customers.

Improve the Model With Real Site Data

The initial model provides a general detection foundation. During a pilot, representative footage and verified events can be used to improve how the model performs under the site's actual camera angles, lighting, weather and operational conditions.

Baseline Model

  • General detection foundation
  • Initial site testing
  • Performance benchmark required
Benchmark established during pilot

Pilot Validation

  • Representative footage collected
  • Events reviewed and labelled
  • False alerts and missed events analysed
  • Thresholds and rules tuned

Site-Adapted Model

  • Better adapted to the camera perspective
  • Better understanding of recurring conditions
  • Improved recognition of relevant events
  • Evaluated against verified site footage
Measured after site validation

Approximately three months of representative footage may provide a useful site-learning period, but actual improvement depends on event frequency, footage quality, annotation quality, camera placement and environmental conditions.

Built to Fit Existing Operations

  • Existing CCTV infrastructure
  • IP cameras and video streams
  • Edge AI devices
  • Event dashboards
  • Email or messaging alerts
  • Webhooks
  • Secure APIs
  • Existing command centres
  • Third-party operational platforms
  • Reporting workflows

Integration options are selected and confirmed during technical assessment.

Ways to Work With Us

Project Collaboration

Work together on a defined customer opportunity or pilot.

Solution Integration

Add Unarvu Edge Vision Intelligence to a broader CCTV, IoT or smart-infrastructure solution.

White-Label Discussion

Explore suitable branding and delivery arrangements for qualified opportunities.

Technical Enablement

Equip relevant technical and commercial teams with the knowledge required to position and support the solution.

Commercial and delivery arrangements are assessed separately for each opportunity.

Who Should Work With Us

  • CCTV system integrators
  • IoT solution providers
  • Smart-city solution integrators
  • Network and connectivity providers
  • Security-system integrators
  • Industrial automation integrators
  • Municipal technology providers
  • Infrastructure solution providers
  • Local deployment and maintenance teams

Bring Edge Vision Intelligence to Your Customers

Work with Unarvu AI and Cre8 IoT to assess, validate and deliver practical computer-vision solutions for real operational environments.