Mirelo AI builds foundation models for generating synchronized audio for video content, targeting the latency and quality bottleneck in audio-for-video workflows. Founded in 2023 in Berlin, the company raised $41 million in seed funding co-led by Index Ventures and Andreessen Horowitz. Their models generate synchronized sound effects in seconds rather than the hours typically required for manual sound design, addressing production throughput constraints across gaming, film, social media, and broader visual content verticals.
The technical stack centers on PyTorch with transformer architectures, optimized for H100 and H200 GPUs using Nsight profiling and SLURM for cluster orchestration. The team sources from Google Brain, Amazon, Meta FAIR, Disney, ETH Zürich, and Max Planck Institutes, combining AI research depth with domain expertise from musicians and product specialists. Co-founder and CEO CJ Simon-Gabriel previously worked at AWS Labs, where the founding team originated.
The core technical challenge is tight audio-visual synchronization at generation time - a constraint that spans model architecture design, latency optimization, and evaluation methodology. Production systems must handle variable-length video inputs while maintaining temporal coherence across generated audio, requiring careful trade-offs between generation speed, output quality, and computational cost. The company positions its models as infrastructure for visual content pipelines, treating audio generation as a systems problem rather than a standalone creative tool.