Hybrid AI is the enterprise solution to deploying AI at scale.

Teknikos is leading the industry with hybrid AI systems that optimize on-device inference with edge compute and cloud AI to deliver cost-effective, practical solutions built for enterprise scale.


Hybrid AI At Teknikos

Hybrid AI distributes AI workloads across on-device compute, edge environments, and cloud infrastructure – routing each task to the right compute environment to optimize workloads for latency, privacy, cost, and performance.

For enterprise, this matters practically: data sovereignty, offline capability, and cost efficiency are real constraints, not theoretical ones. On-device AI delivers meaningful performance at the edge.


Capabilities
  • On-Device AI Acceleration

    Local AI runs workloads on-device, delivering faster responses, lower latency, and stronger privacy – optimizing AI tasks for cost, speed, and security without cloud dependency.

  • Intelligent Workload Balancing

    Orchestration directs each AI task to the optimal environment – edge, device, or cloud – based on policy, context, and resource needs. Consistent performance without manual intervention.

  • Practical Scalability

    Hybrid architectures blend local, edge, and cloud resources for adaptability and resilience. They reduce operational costs, support compliance, and accelerate adoption by meeting enterprise requirements for speed, privacy, and scale.


Applied Solutions
  • Genuix Dimensions

    AI-powered PDF intelligence for Copilot+ PCs. Built on Phi Silica and Azure AI Foundry Local. Available in the Microsoft Store.

  • Teknikos PDF Explorer

    Purpose-built to demonstrate real-world Copilot+ PC capabilities, developed in collaboration with Microsoft Surface.

  • Teknikos HelpChat

    A hybrid AI chatbot demonstrating identical workloads running both on-device and in the cloud – same ONNX model, two environments.


Current Technology Focus

Windows AI APIs including Phi Silica on Copilot+ PCs

Local AI optimization on NPU and GPU

Microsoft Foundry Local and Windows ML

Qualcomm Snapdragon-powered Surface devices

On-device/cloud hybrid patterns