Architecture. Implementation. Delivery.
M Lab takes engagements from architecture and design all the way through hands-on implementation and production delivery. Founded by Yuan Meng, the practice brings nearly 30 years of principal-level engineering across codec systems, OTT and broadcast platforms, GPU acceleration, AI media pipelines, cross-platform frameworks, and VDI and remote media delivery.
40–60% infrastructure savings, 35% bandwidth reduction, 2× throughput per dollar — through pipeline redesign, codec optimization, and compute right-sizing.
Higher VMAF at equal bitrate, <100ms latency, and near-zero buffering — through AI-enhanced encoding, adaptive streaming design, and low-latency architecture.
One expert, no ramp-up, no handoffs. Nearly 30 years of domain depth combined with AI-augmented development compresses spec-to-delivery time.
Engagements are scoped around outcomes that justify the investment. These figures reflect aggregate results from prior client work.
Cloud architecture redesign, pipeline consolidation, and compute right-sizing for transcoding and media delivery workloads.
Cloud & infrastructureCodec tuning, content-aware encoding, and bitrate ladder optimization cut bandwidth and storage costs without perceptual quality loss.
Codec & qualityGPU pipeline optimization, SIMD acceleration, and targeted architecture changes double throughput on high-volume multimedia processing systems.
GPU & performanceLow-latency architecture across ingest, transport, control plane, and AI inference paths for live interactive media at scale.
Streaming & live media