Duration is a forward-thinking consumer technology lab dedicated to redefining the future of human-computer interaction. We envision a world where software seamlessly spans multiple surfaces—visual, text, and audio—allowing users to engage with products using any modality they prefer, at any time. This vision hinges on a fundamental shift in the cost structure of AI, as today's AI inference costs are prohibitively high for widespread consumer adoption. Our mission is to drive marginal inference costs to zero, making AI-native experiences free at scale, much like previous generational products that democratized creative capabilities.
Our approach is twofold. First, we conduct applied AI research focused on delivering multi-modal experiences at zero incremental cost through on-device inference. This research explores how AI can run efficiently on consumer hardware, enabling real-time, privacy-preserving interactions without relying on expensive cloud servers. Second, we build consumer products that leverage these breakthroughs, creating entirely new experiences that were previously impossible. This creates a powerful flywheel: data and evaluations from our products accelerate our research, while our proprietary models and innovations allow us to build products that no other company can replicate.
Key features include on-device inference for cost-effective AI, multi-modal interaction (visual, text, audio), and a research-driven product development cycle. Benefits for users include free or low-cost access to advanced AI capabilities, enhanced privacy through local processing, and seamless interaction across devices. Use cases span personal assistants, creative tools, and immersive entertainment that adapts to user preferences in real time. Technically, we focus on optimizing model architectures for edge devices, reducing latency, and ensuring interoperability across platforms. Duration is not just a lab; it's a catalyst for the next wave of consumer technology, where AI becomes as ubiquitous and affordable as traditional software.
consumer technology users, AI researchers, product designers, hardware engineers, software developers, innovation labs