Myelin Foundry

Edge AI solutions for every business need.

Contact for Pricing

Description

Myelin Foundry develops deep tech edge AI solutions designed to process complex unstructured data, such as video and sensor feeds, in real-time directly on user edge devices. The platform optimizes AI performance on leading chipsets and supports multi-sensor fusion with a distributed architecture.

By enabling AI inference locally, Myelin Foundry helps businesses accelerate digital transformation, enhance user experiences, improve operational efficiency, ensure data security, and reduce costs associated with data storage and transmission. Their solutions cater to diverse industry use cases, offering customizable AI development to meet specific business requirements for applications in media streaming (Fovea STREAM), industrial automation (Fovea EDGE), and automotive systems (Fovea AUTOMICI).

Key Features

Real-time Analytics & Insights: Delivers immediate insights from edge data to accelerate digital transformation.
Edge & Cloud Optimization: Optimizes AI models for high performance on various edge chipsets.
Video & Sensor Data Processing: Utilizes multi-sensor fusion and distributed architecture for advanced neural compute.
Low-Power Edge AI Inference: Enables efficient AI processing on edge devices with minimal resource usage.
Low-Latency Performance: Ensures premium, high-performance digital user experiences.
On-Premise Data Processing: Enhances data security and privacy by processing data locally.
Distributed Compute Capabilities: Supports complex applications like ADAS through distributed processing.
Customizable AI Development: Offers tailored AI solutions based on specific business needs and specifications.

Use Cases

Reducing content delivery network (CDN) costs in media streaming.
Enhancing user experiences in media delivery.
Enabling real-time automation on factory shop floors by integrating IT, OT, and sensor data.
Powering in-vehicle infotainment systems.
Improving low-light video enhancement for automotive applications.
Developing Advanced Driver-Assistance Systems (ADAS).
Streamlining financial economy through optimized resource utilization.
Implementing closed-loop control systems for automated decision-making.
Contextualizing information for decision support through local data fusion.