Real-Time Edge Intelligence for Industrial IoT
Maximize
Asset Performance
Uptime
Yield
Quality
Energy Efficiency
Cost Savings
The Undisputed Leader
in IIoT Edge Analytics and Machine Learning
Real-World
Experience
Experience
100+
Commercial engagements across every major industrial vertical.
Industrial
Investors
Investors
$72.5M
Bosch, Dell, GE, Honeywell, Intel, LS Corp., Saudi Aramco and Yokogawa.
Industry
Recognition
Recognition
25+
The most decorated Industrial IoT solution.
Ecosystem
Partners
Partners
50+
Partners across OEM, SI, Cloud, Gateway and Semiconductor.
Featured Industry Solutions
Use Cases
- Condition-based Monitoring
- Prescriptive Maintenance
- Asset Performance Optimization
- Process Efficiency
- Operational Intelligence
- Output/Yield Forecasting
FogHorn’s Lightning™ edge intelligence platform enhances manufacturing yields and efficiency using real-time monitoring and diagnostics, streaming analytics, machine learning, and operations optimization. The immediacy of edge intelligence enables automated feedback loops in the manufacturing process as well as predictive maintenance for maximizing the uptime and lifespan of equipment and assembly lines.
Manufacturing
Use Cases
- Process Efficiency
- Condition-based Monitoring
- Prescriptive Maintenance
- Operational Intelligence
- Asset Performance Optimization
- Flare Stack Monitoring
Oil and gas extraction are high-stakes technology-driven operations that depend on real-time onsite intelligence. Because these operations lack reliable high-speed access to centralized data centers, FogHorn’s edge intelligence provides onsite delivery of advanced analytics and machine learning, and enables real-time responses required to ensure maximum production and safety.
Oil & Gas
Use Cases
- Operational Intelligence
- Condition-based Monitoring
- Prescriptive Maintenance
- Asset Performance Optimization
- Geofencing /Asset Tracking
- Energy Usage Optimization
Trains and tracks, buses, aircraft, and ships are being equipped with a new generation of instruments and sensors generating petabytes of data that require additional intelligence for analysis and real-time response. FogHorn’s edge intelligence processes this data locally to enable real-time asset monitoring and management to minimize operational risk and downtime.
Transportation
Use Cases
- Operational Intelligence
- Condition-based Monitoring
- Prescriptive Maintenance
- Asset Performance Optimization
- Process Efficiency
- Energy Usage Optimization
FogHorn’s edge intelligence platform provides lower energy consumption, predictive maintenance, better security, increased occupant comfort and safety, and better utilization of building assets and services. Smart buildings can use FogHorn’s edge intelligence for more responsive automation while reducing bandwidth costs and latency.
Smart Buildings
Use Cases
- Condition-based Monitoring
- Asset Performance Optimization
- Prescriptive Maintenance
- Operational Intelligence
- Output/Yield Forecasting
Constantly changing weather conditions present major challenges for both predicting and delivering a reliable supply of electricity to the power grid. FogHorn’s edge intelligence enables real-time adjustments to maximize power generation as well as advanced analytics for accurate energy forecasting and delivery.
Renewable Energy
Use Cases
- Condition-based Monitoring
- Operational Intelligence
- Prescriptive Maintenance
- Process Efficiency
- Asset Performance Optimization
- Output/Yield Forecasting
FogHorn’s edge intelligence enables the proactive benefits of predictive maintenance and real-time responsiveness. It also enables ingestion and analysis of sensor data closer to the source rather than the cloud to reduce latency and bandwidth costs.
Power & Water
Why FogHorn
FogHorn’s Lightning™ platform embeds IIoT edge intelligence locally, at or near the source of streaming sensor data. The highly compact and feature-rich solution delivers unprecedented low latency for onsite data processing, real-time analytics, ML and AI capabilities in the smallest compute footprint. FogHorn offers a fully-integrated, closed loop edge to cloud solution, rapidly iterating ML models to adjust to changing operating conditions.
VEL® CEP
FogHorn’s hyper-efficient VEL complex event processor is optimized for data enrichment and real-time analytics at the edge. It’s flow-reactive programming language delivers the highest data fidelity and lowest latency in the smallest footprints.
Edgified Machine Learning
Edgifying ML means connecting models to streaming, enriched data, relocating pre/post processing logic to FogHorn’s CEP, and leveraging an edge-optimized expression language. This reduces model sizes by up to 80% and improves performance.
Bridge to OT
FogHorn seamlessly integrates with industrial systems, easily taps into tribal operator knowledge, and offers an OT- centric toolkit to create a flexible, powerful intelligent edge that enables fast time to value.
Think BIG. Start small. Work FAST.
Connect
the Unconnected
Maximize
Edge Intelligence
Stream
Anywhere
Control
the Edge
