Web2GoTech Edge AI chips are extremely lightweight and power-efficient to deploy, Sensor Inference Platform (SIP) embedded models on drones, aircraft, ships, robots, buildings, satellites — and more.
AI-driven Decision-making
Web2gotech Edge AI is Web2gotech’s AI orchestration and sensor fusion engine that runs on disconnected, remote endpoints.
It enables autonomous decision-making for on-hardware models consuming real-time sensor, radio, acoustic, geo-registration, and time series data. The platform operates in low-bandwidth, low-power conditions, bringing AI to all of your IoT devices — from drones to wind turbines to manufacturing robots.
Model Chaining Across Environments & Devices
A new technology — Micro Models™ — lets you chain algorithms together across devices and environments, meaning your models in space can connect to your models on land or underwater.
Micro Models are modular, operation-specific models designed around a measurable objective. They can include homegrown, open-source, or third-party algorithms. Web2gotech provides end-to-end infrastructure for the AI/ML lifecycle, with versioning, branching, reproducibility, and lineage for each and every model.
Continuous Integration and Delivery
Web2gotech Edge AI provides continuous integration / continuous delivery (CI/CD) of your models.
The AI Inference Platform mediates interactions between Web2gotech AI/ML infrastructure and heterogeneous edge environments. Decisions and metadata from edge-deployed models flow back into the core Web2gotech platform, accelerating retraining and continuous integration / continuous delivery of models across endpoints.
Open Model Platform for Sensor Manufacturers
For sensor manufacturers, Web2gotech Edge AI provides a platform to embed AI/ML alongside your sensors.
The system enables your customers to train, manage, and deploy proprietary or third-party algorithms anywhere on the edge. From the factory floor to the exosphere.
Designed for situations where speed and efficiency matter
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MANUFACTURING QUALITY CONTROL Businesses can embed Web2gotech Edge AI on sensors and cameras in manufacturing plants — as well as on machines in processing factories — to increase efficiency and improve quality control. When these sensors examine components as part of a production line, models deployed with Web2gotech Edge AI identify defective products and separate them for inspection or repair.
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ROBOTIC MOTION PLANNING Automated production systems can utilize Web2gotech Edge AI with robot sensors and cameras to increase autonomy and accuracy. Robot sensors monitor the environment and actuator positions, while algorithms deployed with Web2gotech Edge AI detect objects and command actuator actions to manipulate and place objects in the appropriate locations.
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REMOTE SENSING & CUEING Web2gotech Edge AI deployed onboard spacecraft, sophisticated AI models can be rapidly integrated and swapped out as objectives get evolve, feedback are received, and models are retrained. Satellites are able to collect images over areas of interest, and models deployed. Web2gotech Edge AI can detect entities or areas — such as vehicles, ships, or forests — and measure their changes over time. These changes can trigger more focused or frequent imaging. By enabling low-latency decision-making, which is only possible at the edge, Web2gotech Edge AI keeps the download link data before the next action.
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PREDICTIVE MAINTENANCE Organizations with equipment in low bandwidth environments — such as mines, farms, factories, and airspace — can adopt a preemptive approach to parts replacement and repair, reducing equipment downtime and minimizing maintenance costs. Sensors collect data on the state of subsystems of a given machine, vehicle, aircraft, or ship. Models deployed with Web2gotech AI Inference Platform monitor them against predictors for failure and queue them for maintenance.
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FIND, FIX, & TRACK Web2gotech Edge AI deploys at the tactical edge in low-bandwidth or disconnected environments to support cameras and other sensors scanning across wide areas. Computer vision models deployed with Web2gotech AI Inference Platform search for key objects — such as vehicles, people, or ships. When an entity of interest is found, the camera and platform move along with it. Web2gotech Edge AI generates streaming metadata to reduce bandwidth while still providing actionable insights. For example, it can run on cameras on ships — without a network connection — to accurately detect and classify boats on the horizon as friendly or threatening, feeding back into an on-board alerting system.
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AUTONOMOUS NAVIGATION For autonomous vehicles, algorithms deployed on vehicle sensors with Web2gotech Edge AI chips detect potential obstacles in the path of the moving vehicle and command the control system to avoid or mitigate collision.
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DRUG COMPOUND SCREENING Healthcare institutions can accelerate research by leveraging Web2gotech Edge AI within their labs. AI models quantify images and can determine promising compounds, expediting subsequent experiment generation and analysis.
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ENERGY MANAGEMENT Organizations seeking to manage their energy consumption and reduce production costs can deploy Web2gotech Edge AI chips on sensors, allowing AI models to analyze power utilization across systems. Models can then initiate actions to reduce system activity and improve efficiency.
