Three Services, One Clear Progression
Whether you're figuring out if on-device AI is right for your product, setting up your first deployment, or managing a fleet — there's a service built for that stage.
← Back to HomeHow We Approach Every Engagement
On-device AI setup requires a different discipline from standard ML development. Our methodology is shaped by the constraints of real hardware.
Understand the Device
We begin by mapping your hardware — memory, CPU, storage, connectivity — against your intended workload before any setup work starts.
Define the Scope
We agree on deliverables in writing before work begins. No scope surprises mid-engagement.
Configure and Document
Setup work is done with your team present. Every configuration is version-controlled and documented as we go.
Hand Over Cleanly
The engagement ends with a formal handover — maintenance documentation, update procedures, and a training session so your team is set to take ownership.
Edge Feasibility Review
A starting service for product teams curious about running analysis directly on devices rather than the cloud. We review your use case, discuss device constraints, and outline a sensible approach. Suited to hardware and product teams. Includes a review session and a written summary you can use internally to assess next steps.
- Device and use case review
- Constraint and feasibility assessment
- Written summary with recommended approach
- Honest view of what's realistic on your hardware
Typical process:
- 1. Introductory call to understand your device and use case
- 2. Technical review of hardware specs against workload requirements
- 3. Written feasibility summary delivered within one week
- 4. Follow-up call to walk through findings and answer questions
Best suited for: Hardware and product teams at the exploration stage — before committing to implementation work.
Timeline: 1–2 weeks
Best suited for: Engineering leads ready to move from planning to a working on-device deployment on a single device or prototype.
Timeline: 2–3 weeks
On-Device Setup
For teams ready to bring processing onto their devices, this service configures a small on-device build and a clear update routine. Aimed at engineering leads managing a product or prototype deployment. Includes the device setup itself, a documented update routine, and a training session for your team.
- Full device configuration and on-device build
- Version-controlled configuration files
- Documented update routine for ongoing maintenance
- Team training session on operation and updates
Typical process:
- 1. Scope agreement and device access arrangement
- 2. On-device configuration and build deployment
- 3. Update routine design and documentation
- 4. Training session and handover with your engineering team
Edge Deployment Programme
A broader engagement supporting a fleet of devices, with review routines and internal ownership so deployments stay dependable. Includes multi-device setup, a review cycle structured to catch issues early, and a maintenance handbook written for the engineers managing the fleet long-term.
- Multi-device fleet configuration
- Structured periodic review cycle
- Maintenance handbook for internal ownership
- Update procedures for the full fleet
- Extended team knowledge transfer
Typical process:
- 1. Fleet assessment — device inventory and consistency review
- 2. Multi-device configuration and deployment rollout
- 3. Review cycle design and first review run
- 4. Maintenance handbook delivery and team handover
Best suited for: Teams managing multiple devices in production that need a reliable review process and internal ownership structure.
Timeline: 4–8 weeks depending on fleet size
Which Service Fits Your Stage?
| What's included | Feasibility Review RM 640 |
On-Device Setup RM 1,820 |
Deployment Programme RM 3,020 |
|---|---|---|---|
| Device and use case review | |||
| Written feasibility summary | |||
| On-device build and configuration | |||
| Documented update routine | |||
| Team training session | |||
| Multi-device fleet setup | |||
| Maintenance handbook |
Not sure which to start with? The Feasibility Review is designed for exactly that decision. Get in touch and we'll help you figure it out.
What Applies Across All Services
No Client Data Retention
We don't retain your device data, model files, or configuration artefacts after engagements close. Materials are delivered to you and removed from our side.
Version-Controlled Deliverables
All configuration files and scripts are version-controlled so changes are trackable and rollbacks are straightforward.
Written Deliverables Standard
Every engagement ends with written materials — summary, documentation, or handbook — appropriate to the service tier.
Direct Engineer Access
You communicate directly with the engineers doing the technical work — not a project manager or account layer between you and the relevant expertise.
Scope Defined Before Work Starts
Deliverables are agreed in writing before any billable work begins. You know what you're getting and when.
Ownership-First Handover
The goal of every engagement is for your team to own the result. Training, documentation, and procedures are structured around this.
Service Pricing (MYR)
Fixed per-project pricing. No recurring fees, no hidden additions.
Not Sure Where to Start?
Send us a brief note about your device and what you're trying to do with it. We'll give you an honest view of which service makes sense — or whether on-device processing is the right direction at all.
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