Meet Embedl at CES 2026 

Embedl will participate in CES 2026 as part of the EIC Village, a showcase dedicated to Europe's most innovative and high-potential technology companies.

About Embedl

Embedl builds advanced software tools that make AI models smaller, faster, and more efficient, enabling seamless deployment on embedded and edge devices.

We help companies move from AI research to real-world production by optimizing models for:

• Limited hardware resources
• Strict latency requirements
• Low-power environments

Our mission is to make high-performance, sustainable AI accessible across industries.

What We'll Showcase at CES 2026

At CES, we'll demonstrate how our tools enable high-performance AI on real hardware, without compromising accuracy.

Visitors can explore:

• Cross-platform model optimization - CPUs, GPUs, NPUs, and specialized accelerators
• Real-world edge AI use cases - Smart mobility, industrial monitoring, computer vision, and more
• Energy-efficient AI performance - Through quantization, pruning, and compression techniques
• Ultra optimized LLMs - Models enhanced with FlashHead and other advanced optimization techniques deliver significantly reduced latency, smaller memory footprints, and higher throughput while retaining full model quality. We will showcase live demonstrations of billion-parameter LLMs running smoothly on consumer-grade devices, highlighting how our classification head acceleration, selective quantization, and end-to-end pipeline improvements make state-of-the-art language capabilities practical for edge environments.

You'll be able to see our optimization tools in action and discuss how they can enhance your own AI products and workflows.

Working With Embedl

We partner closely with engineering teams to tailor AI models to their specific hardware targets and performance goals. Our optimization process delivers:

• Faster inference
• Reduced memory footprint
• Lower energy consumption
• Minimal accuracy loss
• 90% less developer time

All without requiring model redesigns or retraining.

Sustainability and Efficiency

Efficient AI is not only faster, but it's also more sustainable. By reducing compute requirements, optimized models lower both energy use and hardware demands, contributing to more environmentally friendly AI solutions.

This reflects our conviction that responsible AI must strike a balance between performance, resource efficiency, and long-term sustainability.

Find Us at CES 2026

You can meet us in the EIC Village at CES 2026 in Las Vegas. We'll be available throughout the event for discussions, live demos, and meetings. If you'd like to schedule a dedicated session with our team in advance, you can do so here: Schedule a meeting.