Smarter Vision and Faster Alerts: The Future of AI Video Intelligence at Enloq

At Enloq, we are dedicated to constantly testing, tuning, and exploring the possibilities within real-time AI video intelligence. Recently, we experienced a significant shift in our AI stack, and the outcomes are exciting.

A Major Breakthrough with Gemini 2.5 Flash

On May 20, Google introduced Gemini 2.5 Flash, their latest lightweight large language model. This release immediately captured our attention. We put Gemini 2.5 Flash through our internal vision-agent benchmarks, and we observed a dramatic performance leap:

• Faster response times for real-time vision tasks.

• Sharper comprehension across multimodal inputs.

• Most importantly, 17× cheaper per token than GPT-4o.

  
  

This cost-performance ratio is a game changer. It is especially beneficial for video workflows, where inference must be both rapid and constant. Gemini Flash now powers a growing segment of Enloq’s summarization and alerting capabilities.

On-Device Intelligence: Mistral-Small-3.1-24B-Instruct 2503

While Gemini Flash excels in lightweight summarization in the cloud, there is another essential narrative focused on edge-first intelligence. Our preferred solution for on-device deployments remains Mistral-Small-3.1-24B-Instruct 2503. We have fully quantized it to INT-4, enabling us to run the entire 24B parameter model directly on a single RTX 4090 GPU.

Benefits of On-Device Deployment

• No server farm is required.

• There’s no cloud bill to worry about.

• It delivers pure performance right at the edge.

  
  

This capability allows us to optimize AI performance without the constraints and costs associated with traditional cloud infrastructure.

What This Means for Enloq’s AI Video Agents

The advancements we’re seeing translate to substantial benefits for our users. Here are the key impacts:

• Smarter summaries that adapt to evolving security contexts allow for more dynamic responses.

• Faster alerts in critical scenarios are crucial when every second counts. Timely notifications can make a significant difference in emergency situations.

• Lower operating costs for customers ensure that whether you are scaling or operating at the edge, your investment is optimized.

  
  

Future Prospects for AI Security

We envision a future where AI security does not exist within server racks. Instead, it will thrive on devices that are situated on-site and are always operational. Whether we utilize Gemini Flash in the cloud or deploy Mistral in edge scenarios, our commitment at Enloq sits firmly on the delivery of cutting-edge intelligence where it matters most.

This evolution signifies what the next generation of AI video agents entails. They are not just smarter. They are faster and cheaper. They are closer to the action than ever before.

Conclusion: The Journey Has Just Begun

As we forge ahead, we encourage you to stay tuned. This journey is only the beginning! Enloq is at the forefront of transforming the AI landscape. We are excited to share what we will achieve next.

You can learn more about the latest trends and technologies in AI video intelligence through our resources. Each advancement showcases our dedication to pushing the boundaries of what is possible in this space.

This is what the future looks like at Enloq—smart, efficient, and always on the cutting edge.