ForestHub provides a visual development platform for designing and deploying AI agents directly onto microcontrollers like ESP32 and Arduino. This platform automatically generates production-ready C code, enabling users to build embedded intelligence without requiring extensive embedded programming expertise. Developers can visually configure agent logic, generate firmware, and flash it onto various edge hardware quickly.
Funding
Funding not disclosed
Founders
Product
Problem
Embedded AI development for microcontrollers such as ESP32, Arduino, and STM32 typically requires extensive C/C++ expertise, manual pin‑mapping, and weeks of boilerplate coding. This steep learning curve limits the ability of hardware engineers and IoT teams to quickly prototype or scale intelligent edge applications. Consequently, many projects delay time‑to‑market or resort to less efficient cloud‑centric solutions.
Solution
ForestHub offers a visual development environment that lets users compose intelligent agents with drag‑and‑drop blocks representing sensors, logic, and actuators. The platform automatically translates the block diagram into clean, production‑ready C code tailored to the selected microcontroller, eliminating manual firmware authoring. Built‑in board presets handle pin‑mapping and peripheral configuration, allowing developers to switch hardware targets without rewriting code. Generated firmware can be exported as a complete source package or flashed directly to the device, enabling rapid deployment in seconds. By abstracting low‑level programming while preserving full control over the generated code, ForestHub accelerates edge AI prototyping and supports scalable deployment across diverse MCU families.
Target Audience
The primary customers are embedded software engineers, IoT product developers, and hardware makers who need to add AI capabilities to edge devices without deep C/C++ firmware expertise.
Features
- Graphical block‑based editor for sensor input, decision logic, and output actions, supporting AI inference workflows
- One‑click code generation producing fully commented, standards‑compliant Arduino C compatible with ESP32, STM32, RP2040, nRF52, ESP8266, and future MCU families
- Automatic board‑profile selection with pin‑mapping and peripheral initialization, eliminating manual hardware configuration
- Exportable firmware bundle (source files, makefiles, and libraries) for integration with any existing toolchain, ensuring zero vendor lock‑in
- Integrated flash utility that compiles and uploads the generated binary to the target device in seconds
- Support for importing pre‑trained TensorFlow Lite Micro models and embedding them within the visual workflow
- Versioned project management and cloud‑based collaboration to track agent revisions across teams