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Piris Labs

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Inference at Light Speed

Winter 2026Founded 20254 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
Photonic AI Inference HardwareHardwareEnterprises and AI companies running large modelsMedium competition
Moat
Proprietary photonic hardware; vertical optimization stack; MIT physics pedigree.
Key risk
Hardware manufacturing is capital-intensive; competition from Nvidia and cloud providers; unproven at scale.
Why now
GPU costs unsustainable for inference at scale; photonic computing reaching maturity; trillion-parameter models require new infra.
Competitors
Nvidia, AMD, Cerebras, other alternative inference (Groq, Graphcore)

About

Piris Labs offers a full-stack inference service that eliminates the AI data movement bottleneck. By pairing proprietary photonic hardware with a vertically optimized software stack, we minimize the "memory wall" associated with expensive GPUs. This allows us to deliver the same performance as traditional clusters at a fraction of the cost. Our technology improves effective FLOP utilization and reduces latency, finally making the unit economics of trillion-parameter models sustainable. Founded by a team of MIT physicists and Meta AI experts.

Founders ยท 2

Ali Khalatpour
Ali KhalatpourFounder & CEO
MITStanford

Founder (YC W26), reimagining AI compute architectures | PhD EE (MIT โ†’ NASA โ†’ Stanford)

Keyvan Moghadam
Keyvan MoghadamFounder & President
Meta

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.

Launch

Launched on Y Combinator ยท Feb 2026
View launch post โ†—

We deliver low-latency, low-cost AI inference by eliminating the memory wall using full-stack optical interconnects and a purpose-built software stack.

Piris Labs announces a product stack combining proprietary optical interconnects with a specialized software stack to optimize AI inference. Targeting data-center compute for AI workloads, they claim 5x lower latency, 10x lower power per bit, and 2x lower cost per token. They seek AI product customers and chip makers/ODMs for partnerships.

Formerly โ€œPiris Inc.โ€, โ€œPirislabsโ€

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