Collaboration

Gradion EdgeAI works with clients through three structured engagement models. Each model is a natural step on the path from concept to production-ready system. Most clients progress through all three -- with each stage building on the previous one.

1
Assessment
2
Prototype
3
Production

Feasibility Assessment

2-3 Weeks

The lowest-risk entry point: a focused evaluation that determines what is possible -- before committing to full-scale development.

Typical Scope

  • Hardware assessment and platform recommendation
  • Model benchmarking on the target hardware
  • Architecture recommendation and integration concept
  • Written report with risk assessment

Deliverable

Go/no-go recommendation with implementation roadmap

Best For

Companies evaluating Edge AI that need a well-founded decision basis before committing to prototype development.

Prototype Sprint

6-10 Weeks

Proving it works -- on real hardware, with real data, under real-world conditions. The prototype is not a demo; it is the technical foundation for production.

Typical Scope

  • Model optimization for the target hardware (TensorRT, Deepstream)
  • Integration with existing systems and data infrastructure
  • Performance validation under field conditions
  • Technical documentation and production path assessment

Deliverable

Working prototype on target hardware

Best For

Companies with a validated concept that need proof on production hardware -- as the basis for the production decision.

Dedicated Team

Ongoing

From validated prototype to product in the field. A scaling engineering team that supports the product through production hardening, deployment, and ongoing operations.

Typical Scope

  • Embedded engineering team (2-5 engineers depending on project phase)
  • Production development: Yocto Linux, security hardening, Secure Boot
  • OTA update infrastructure and fleet management
  • Ongoing optimization and maintenance in operations

Deliverable

Production-ready Edge AI system

Best For

Companies making the step from prototype to field deployment -- with hundreds of devices that need to run reliably in production.

The Natural Path

Most clients start with a feasibility assessment -- the lowest-risk entry point. The assessment leads naturally into a prototype sprint: the architecture, hardware evaluation, and roadmap carry over directly. And the validated prototype becomes the foundation for the dedicated team that brings it to production. No knowledge transfer between vendors, no context loss -- a continuous path.

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