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Consulting from strategy to deployment

ForestHub helps industrial teams bring AI onto their own devices, from the first feasibility check to production rollout on the plant floor.

ForestHub pairs the platform with hands-on consulting. The team covers feasibility, architecture, prototyping, integration and training, works hardware agnostic and vendor independent, and builds every solution edge first so data stays on site.

01How we work

From first call to production

  1. 01

    Discovery call

    Understand the use case, assess feasibility and define the scope of the collaboration.

  2. 02

    Analysis and concept

    Deep dive into requirements, data and systems, then design the technical architecture.

  3. 03

    Implementation

    Hands-on development, prototyping and iterative testing together with the internal team.

  4. 04

    Handover and enablement

    Deployment to production, knowledge transfer and long-term enablement of the team.

02Service areas

What the engagement covers

01

Consulting and strategy

  • Feasibility analysis for the concrete use case
  • Technology and architecture selection
  • Roadmap from idea to product
02

Prototyping and proof of concept

  • Rapid prototypes for embedded AI applications
  • Use case validation with real data
  • Hardware agnostic and vendor independent
03

Integration and deployment

  • AI models integrated on existing hardware
  • Edge deployment without cloud dependency
  • Privacy compliant solutions under GDPR
04

Training and enablement

  • Knowledge transfer to internal teams
  • Best practices for embedded AI
  • Long-term capability instead of dependency
03Edge-first approach

Data stays on the device

Every solution is edge first by design. Data stays where it belongs: on the hardware, in the facility, under the operator's control.

No cloud dependency, no data transmission, full GDPR compliance by design. Especially relevant for European industrial companies in regulated environments.

Ready to build intelligent edge devices?

Start with a discovery call, scope the use case and get a clear picture of effort and architecture before committing.