SOLUTIONS
EDGE AI FOR INDUSTRIAL APPLICATIONS.
ForestHub deploys Edge AI directly where it creates value — from predictive maintenance to building automation. Four proven use cases, one orchestration platform, zero cloud dependency.
AI-Powered Diagnostics Right at the Machine
On-device agents for industrial diagnostics: ingest sensor data, analyze locally, identify root causes, deliver actionable instructions. No cloud round-trip, no latency.
What's the Problem?
Manufacturing equipment generates high service costs due to reactive maintenance approaches. Service technicians spend valuable time diagnosing issues on-site, leading to extended downtime and expensive field visits. Traditional diagnostic tools require cloud connectivity and provide limited real-time insights.
How We Solve It
ForestHub enables OEMs to embed AI-powered diagnostics directly into their equipment. On-device AI models analyze machine behavior in real-time, detecting faults before they escalate and providing guided troubleshooting steps. All AI inference runs on-device. No internet connection required — not even for diagnostics.
On-device machine diagnostics for OEMs
White-label ready AI intelligence
No cloud dependency — works offline
Reduces field service costs
Privacy by Design
Sensitive machine data stays on-device. No cloud transmission, no data leaks. ForestHub's edge-first architecture ensures diagnostics work in air-gapped environments — fully compliant with the strictest data protection requirements.
Buildings That Think — Locally and in Real Time
Building technology OEMs and integrators use ForestHub to build AI-driven automation systems that optimize heating, ventilation, lighting, and energy consumption autonomously and locally — no cloud required, full data control.
What's the Problem?
Building automation systems rely on cloud infrastructure, creating latency issues for time-sensitive controls and raising privacy concerns for occupants. Cloud dependency means systems fail during internet outages, and continuous data transmission increases operational costs. GDPR compliance becomes complex when sensor data leaves the premises.
How We Solve It
ForestHub enables building automation providers to run AI models directly on microcontrollers. Local intelligence processes sensor fusion (temperature, occupancy, air quality, lighting) at the edge, making real-time control decisions without cloud round-trips. System integrators and OEMs can deploy privacy-first solutions that work during internet outages.
Local sensor intelligence for HVAC & lighting
Built for system integrators and OEMs
Commercial and residential applications
Privacy-first — no data leaves the building
Privacy by Design
Occupancy data, usage patterns, and sensor readings never leave the building. All intelligence runs locally on the microcontroller. GDPR-compliant by design — no cloud dependency, no privacy concerns.
Predict Failures Before They Happen
Machine builders and plant operators use ForestHub to deploy AI models directly on their equipment — detecting wear, anomalies, and imminent failures early, without sending sensor data to the cloud.
What's the Problem?
Unplanned downtime costs manufacturers millions in lost productivity. Traditional maintenance approaches are reactive — machines fail unexpectedly, causing production line stops. Cloud-based monitoring solutions introduce latency and recurring subscription costs, making them impractical for large equipment fleets.
How We Solve It
ForestHub enables predictive maintenance through on-device anomaly detection. Vibration and temperature sensors feed data into edge AI models that learn normal operating patterns and detect deviations early. Maintenance teams receive alerts before failures occur, allowing planned interventions instead of emergency repairs.
Early anomaly detection
Reduced machine downtime
On-device AI inference
No recurring cloud costs
Intelligent Sensors That Decide on Their Own
Sensor manufacturers and system integrators use ForestHub to equip their sensors with embedded AI — for classification, filtering, and decision-making right at the sensor, without transmitting data first.
What's the Problem?
Remote sensor networks generate massive data volumes, overwhelming network bandwidth and draining battery power through constant transmission. Traditional approaches send all raw sensor data to cloud platforms, making large-scale deployments expensive and impractical for battery-powered devices.
How We Solve It
ForestHub enables intelligent edge filtering — sensors analyze readings locally and only transmit relevant insights. AI models running on edge hardware distinguish normal conditions from events worth reporting, dramatically reducing data transmission. This approach extends battery life and makes large-scale sensor networks economically viable.
Intelligent data filtering
Bandwidth-efficient transmission
Battery-optimized operation
Scalable sensor networks
THESE ARE JUST THE BEGINNING.
These are four proven use cases — but ForestHub adapts to your specific embedded AI challenge. Whether it's quality inspection, fleet management, or something entirely new: our platform and engineering team are ready.
