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On-Device AI

Transform AI experiences with greater speed and privacy

Deloitte's On-Device AI services help companies bring AI processing and capabilities to end-user devices to power transformative experiences. Learn how we architect and engineer processes and technology to enable a future of hybrid AI in which AI workloads are appropriately distributed across devices and the cloud.

Why On-Device AI is a strategic solution for the next generation of AI applications

The advent of more efficient Small Language Models (SLMs) is enabling swift and efficient on-device data processing. Hybrid AI architectures that distribute AI workloads between the cloud and end-user devices can be more effective, offering enhanced privacy, reduced costs, and lower latency.

Enhanced privacy and security

On-device AI allows for sensitive data to remain on the device, reducing the necessity for data transmission to the cloud and thus minimizing the risk of data breaches.

Personalization and real-time adaptation

Local models can learn and adapt in real time, providing personalized and context-aware services to users.

Cost efficiency

On-device AI can significantly reduce cloud costs and optimize resource allocation by offloading select AI workloads to end-user devices.

Reduced latency

By enabling local processing of AI and data in real time, running AI locally improves user experience and reduces risk for applications sensitive to latency and responsiveness.

How we're already creating value with our clients

Deloitte's On-Device AI services

  • Independent Software Vendors (ISVs)

    On-device feature engineering
    We help prioritize and integrate AI features into existing software by selecting, extracting, and transforming the relevant use cases and adapting them for on-device AI computation.

    On-device AI engineering
    Using our industry and market experience, we build on-device AI solutions from the ground up. Also, we offer pre-built solutions that fit the particular use cases.

    Hybrid AI orchestration
    Deloitte can not only build the AI features on the device, but help ISVs by designing and implementing software solutions for intelligent orchestration of AI workloads between end-user devices and cloud in order to optimize compute resources.

  • Original Equipment Manufacturers (OEMs)

    ISV market activation
    By offering a strategic roadmap for on-device AI integration and implementation, Deloitte helps OEMs collaborate with independent software vendors (ISVs) and drive on-device AI adoption in the ISV segment.

    Hybrid AI orchestration
    Deloitte can not only build the AI features on the device, but help OEMs by designing and implementing software solutions for intelligent orchestration of AI workloads between end-user devices and cloud to optimize compute resources.

    On-device and Hybrid AI utilities
    We develop embedded on-device AI solutions for OEMs to deliver more value “out of the box” for their hardware products.

  • Chipmakers

    Product strategy
    We deliver improved on-device AI software product strategy by helping chipmakers identify and capitalize on future trends in AI chip technologies, focusing on optimizing AI performance on chips to meet the evolving needs of on-device computing and user privacy demands.

    On-device and Hybrid AI utilities
    We develop embedded on-device AI solutions for chipmakers to deliver more value "out of the box" for their hardware products.

    AI optimization
    We assist chipmakers in optimizing AI models by providing training and fine-tuning to achieve superior performance and efficiency on specific chipsets.

Deloitte's AI highlights

Deloitte named a leader in the Worldwide AI Services 2025 Vendor Assessment by IDC, three times in a row

Deloitte named NVIDIA’s “Global Consulting Partner of the Year” for four consecutive years

Deloitte has hundreds of trained GenAI specialists across analytics, natural learning, conversational AI, prompt engineering

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