Hybrid Infrastructure & Edge AI (AI Outside the Cloud)
On-premise AI deployment: local LLMs, computer vision, and high-availability architectures for organizations that cannot send sensitive data to external servers.
Processing millions of data points, audio files, or video on cloud AI servers (like AWS or OpenAI) has three serious problems: latency (it's slow), exponential bandwidth costs, and privacy risk from sending your company's confidential information to third-party servers. You need the power of AI, but operating locally within your own walls.
Who It's For:
CTOs, Chief Information Security Officers (CISOs), and Industrial Corporations that require millisecond response times or, due to legal regulations, cannot extract sensitive data from their facilities and seek to streamline their most costly processes.
What We'll Achieve:
On-Premise Server Deployment:
Configuration of physical infrastructure within your corporate environment capable of running Artificial Intelligence models (LLMs or Computer Vision).
Edge Model Optimization:
Implementation of engines like OpenVINO to maximize AI processing on standard hardware without relying on astronomically expensive GPUs.
High-Availability Architecture:
Failover protocols to ensure the system keeps operating 24/7 even if your plant loses its internet connection.
Delivery Time:
6 to 8 weeks.
Base Investment:
$15,000 - $35,000+ USD (Excludes physical hardware cost).
Data Sovereignty Guarantee:
All inference and logical processing occurs locally. We contractually and architecturally guarantee that your strategic data, videos, and queries will never leave your company's private network.
