Piris Labs
Inference at Light Speed
What they do
AI inference is bottlenecked by costly data movement and GPU memory limits, driving high latency and unsustainable unit economics for large models.
A full-stack inference service combining proprietary photonic hardware with a vertically optimized software stack to reduce the memory wall, improve FLOP utilization, and lower latency and cost.
AI model providers and enterprises deploying large-scale inference workloads (e.g., trillion-parameter models).
Founders
Founder (YC W26), reimagining AI compute architectures | PhD EE (MIT → NASA → Stanford)
I am an AI technologist with a decade of experience scaling AI/ML products. At Meta and X, I specialized in leading tiger teams to launch high-stakes 0-to-1 initiatives. Now, I am the Co-Founder of Piris Labs. We are building high-speed photonic interconnects to solve the energy and latency constraints for AI data inference. My current focus is to iterate on our inference service and onboard customers into our platform.
Open roles 2
Company timeline
- Founded2025
- YC batchWinter 2026
- StatusActive
- Team size4 people
- LocationSan Francisco, CA, USA
