
CEO & Co-Founder at Sparta
Arya Kanna
Hello! I'm Arya Kanna. Dropped out of Berkeley to create the new standard of how all data moves.
Questions & Answers
Why are you excited about your company/product?
I’m excited about Sparta because it gives AI frontier labs and enterprises the ability to train more models, run larger experiments, and move faster without expanding infrastructure. If we can improve throughput and cut transfer time in half, that means more training cycles per month and faster iteration on breakthrough models. For smaller startups, that efficiency can literally double runway. Less wasted GPU time and lower transfer costs mean more experiments before the next fundraise. For streaming and gaming platforms, it means faster uploads, lower latency, and more reliable global distribution. Teams spend less time waiting on transfers and more time building features users care about. What excites me most is leverage. We are not building new data centers. We are unlocking more value from the ones that already exist. That means more innovation, more output, and more time spent creating instead of waiting on infrastructure.
What's the story behind your company?
I started Sparta after realizing, as a broke college student at Berkeley, that I could not afford to build the next $300B AI data center. But I noticed something more interesting: the bottleneck was not just compute, it was coordination. GPUs were idling, transfers were slow, and static heuristics could not adapt to real network conditions. Our team dug into the research and saw that most systems optimize transport protocols, not application-level data movement. They are unaware of network variability, workload competition, or what they are transferring. So we built Sparta, an RL-driven data delivery layer that dynamically adapts parameters in real time. Instead of fixed rules, Sparta continuously learns the optimal way to move data across clouds and clusters. We may not be building data infrastructure, but we are building the intelligence that helps it run at full potential.