About TensorSync

Our Mission

TensorSync was founded in 2024 by a team of machine learning engineers and distributed systems experts who were frustrated by the complexity of synchronizing large-scale ML models across distributed training clusters.

We believe that infrastructure should be invisible—allowing researchers to focus on what matters: building better models, not debugging sync issues.

The Problem We Solve

Modern ML teams face unique challenges:

• Training clusters span multiple regions and cloud providers
• Model checkpoints can be hundreds of gigabytes
• Real-time telemetry is critical for debugging distributed training
• Existing solutions are either too slow or too complex

Our Technology

TensorSync uses proprietary delta compression algorithms, edge caching, and intelligent routing to achieve sub-millisecond sync latency while reducing bandwidth consumption by up to 94%.

Team

Alex Kumar

CEO & Co-Founder
Ex-Google Brain

Sarah Chen

CTO & Co-Founder
Ex-Meta AI

Michael Ross

VP Engineering
Ex-OpenAI

Contact

📧 hello@tensorsync.xyz
📍 San Francisco, CA (Remote-first team)