Research Areas
Advancing conversational intelligence to make human-AI interactions effortless, trustworthy, and universally accessible.
Inference Optimizations
Our team pushes the boundary on responsiveness and realtime AI
Research focus
Exploring improved systems, architectures, and kernels for realtime multimodal agents at scale.
Lifelike Voice Fidelity
research focus
Improving neural audio codecs and improving model architectures to capture the richness, emotion, and clarity of human speech.
research focus
Generating scalable, diverse, and privacy-safe datasets to improve data coverage and reduce model bias
Preserving Privacy with Grounded Synthetic Data
Synthetic speech and conversational data for faster, safer AI training
research focus
Long-Term Memory Through Context Engineering
Remembering how users interact with AI over time to better serve their needs, build relationships with them, and feel more natural by giving our agents the right information at the right time
Building self-curating memory frameworks that give AI true long term understanding and adaptability.
Publications
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