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Ittiam brings state-of-the-art AI to edge devices with optimized, real-time inference for sophisticated multimodal applications. We unlock the full silicon entitlement across smartphones, laptops, set-top-boxes, smart TVs, and other consumer electronics, enabling cloud-quality AI experiences on-device with the privacy, responsiveness, and cost benefits of edge processing. Our system-level optimization transforms vision, audio, and content workloads to run within tight constraints, making real-time multimodal AI commercially viable on existing hardware.

Ittiam’s Edge AI Optimization Stack

We optimize your complete AI pipeline. From video/audio decode and preprocessing through multimodal inference, post-processing, multimodal fusion, and intelligent workload distribution across CPU, GPU, NPU and DSP, our comprehensive approach unlocks performance previously impossible on constrained edge hardware, from mobile devices to broadcast equipment.

Broadcasting and streaming demand real-time multimodal intelligence. Whether you’re building AI-powered content creation tools, live video enhancement for broadcasters, personalized on-device experiences for streaming viewers, or interactive virtual production systems, multimodal AI must seamlessly coordinate vision, audio, and text processing with frame-accurate precision. Our expertise in multi-stream synchronization delivers the sub-second latency and consistent quality your applications require, essential for live broadcasting, real-time content generation, and responsive viewer experiences.

Our cross-platform engineering gives you flexibility. We work seamlessly across Qualcomm, Intel, AMD, MediaTek, and Synaptics chipsets, ensuring adaptability. We deliver production-ready code optimized for specific hardware, product requirements, and performance targets.

See our capabilities in action with our Multimodal Application for Neural based Avatar Video, a real-time on-device avatar generator. Running on edge devices powered by processors like the Snapdragon 8 Gen 3 and Synaptics SL1680, it demonstrates real-time latency for photorealistic, lip-synced avatars, entirely on-device. This showcase application proves what’s possible when system-level optimization meets sophisticated AI.

Partner with us to bring your edge AI vision to reality.

End-to-End Optimization

We optimize the entire AI pipeline from data input and preprocessing to inference and post-processing, ensuring efficient execution at every stage. By intelligently distributing workloads across CPU, GPU, NPU, and DSP, we maximize performance while maintaining low latency and power efficiency on edge devices.

Real-Time Multimodal AI

Our solutions enable synchronized, real-time processing of vision, audio, and text, allowing applications to deliver responsive and intelligent experiences. This supports use cases such as live content enhancement, interactive systems, and real-time decision-making with consistent, low-latency performance.

Cross-Platform Support

We build hardware-aware AI solutions that run seamlessly across multiple platforms, ensuring flexibility and scalability. Our implementations are optimized for different chipsets and performance requirements, delivering consistent and efficient AI experiences across a wide range of edge devices.

AI Avatar Application

Ittiam’s Edge AI Avatar demonstrates real-time, on-device avatar generation with photorealistic facial animation, accurate lip-sync, and responsive voice interaction—without relying on the cloud. Designed for edge devices such as smartphones, laptops, set-top boxes, smart TVs, and broadcast systems, it delivers cloud-quality AI experiences with the privacy, responsiveness, and efficiency of edge processing.

The solution coordinates vision, audio, and text with frame-accurate precision, enabling sub-second latency essential for live broadcasting, interactive content creation, virtual production, and personalized viewer experiences. This is achieved through end-to-end optimization of the AI pipeline, from decode and preprocessing to multimodal inference, fusion, and intelligent workload distribution across CPU, GPU, NPU, and DSP.

This showcase application proves how system-level optimization transforms advanced AI models into production-ready edge solutions across diverse hardware platforms.

Partner with us to bring your edge AI vision to reality

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