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FAQ

FREQUENTLY ASKED QUESTIONS

Find answers to common questions about ForestHub, our platform, and our services.

General

ForestHub is the Edge AI & Agents Orchestration Platform — the missing layer between perception and action in the edge AI architecture. ForestHub enables teams to visually orchestrate intelligent agents that compile to portable C code and run on edge hardware: coordinated, offline-capable, without cloud dependency and without vendor lock-in.

ForestHub is designed for machine manufacturers (OEMs), system integrators, and industrial technology companies that need to embed AI capabilities into their products. Whether you build industrial equipment, building automation systems, or sensor networks — ForestHub enables on-device intelligence without cloud dependency.

Our Visual Builder platform uses a No-Code & Low-Code approach: you can define logic visually without programming for rapid prototyping, and switch to Low-Code mode for full control over the generated C code. It is designed for engineers and domain experts alike. For our consulting and integration services, our engineering team handles the technical implementation.

The ForestHub platform and website are available in English and German. Our engineering team supports projects in both languages.

Platform

The Visual Builder lets you design edge AI agents with drag-and-drop — the entire sense-reason-act loop. With our No-Code & Low-Code approach, you define agent logic visually, and ForestHub generates optimized, production-ready C code that can be deployed directly to your microcontroller. Need more control? Switch to Low-Code mode to inject custom code at any point.

ForestHub generates standard-compliant, portable C code that compiles with any common toolchain. The code is human-readable, commented, and yours to keep — you can audit, extend, and deploy it independently of ForestHub.

The generated code is designed to run on popular microcontroller platforms. It's standard-compliant and portable — compiles with any common toolchain and freely ports to other hardware.

No. ForestHub follows an edge-first approach. All AI inference runs locally on your device. Cloud connectivity is optional - not required. This makes our solutions ideal for air-gapped environments and privacy-sensitive applications.

The generated code is optimized for resource-constrained devices — compact, standard-conformant, and with zero runtime overhead. You own it, it compiles with any common toolchain, and runs on your choice of microcontroller. No vendor lock-in, no dependency on ForestHub at runtime.

Privacy & Security

No. ForestHub's edge-first architecture processes all data locally on the device. No sensor data, machine data, or operational data ever leaves your premises. This is a core design principle, not an afterthought.

Yes. Because data processing happens entirely on-device, ForestHub solutions are GDPR-compliant by design. No personal or operational data is transmitted to external servers, which eliminates most data protection concerns from the start.

Your project data within the ForestHub platform is stored securely in compliance with European data protection regulations. For deployed AI solutions, all operational data stays on your local hardware - nothing is sent to external servers.

Consulting & Services

ForestHub offers AI assessments, architecture assessments, team enablement training, and full-service integration projects. From initial feasibility analysis to productive deployment - we guide your team through the entire process.

Typically, we start with an AI assessment (1-2 days) to identify use cases and check feasibility. Based on the results, we develop the architecture together and guide implementation. The entire process is hands-on and tailored to your specific requirements.

Our consulting services are relevant for any industry deploying embedded AI: manufacturing, building automation, energy management, automotive, medical devices, agriculture, and logistics. Wherever sensors generate data and intelligent local decisions create value.