Piris Labs: Inference & Compute

Founded 2025|San Francisco, CA|2-10 people|Unknown

What is Piris Labs?

Piris Labs is building a full-stack inference service that eliminates the AI data movement bottleneck using proprietary photonic (optical) hardware paired with an optimized software stack. Part of YC W2026, it was founded by Ali Khalatpour (CEO, MIT-trained optical scientist who developed the first room-temperature terahertz semiconductor laser) and Keyvan Moghadam (President, ex-Meta and ex-Twitter infrastructure).

The core thesis is that memory bandwidth — not compute — is the real bottleneck in AI inference, and optical interconnects can solve this at the physics layer. They claim 5x lower latency, 10x lower power per bit, and 2x lower cost per token compared to conventional GPU-based inference. The company has a working prototype of their Pi Conversion Engine and an SBIR government partnership.

This is a deep-tech hardware play competing with Cerebras, Groq, and SambaNova, taking a vertically integrated approach by building both hardware and software rather than selling components. They are targeting trillion-parameter model inference with a fundamentally different architecture.

Key features

Core capabilities this platform advertises.

Cerebras-class speed
Scalable inference
High-performance compute
Beyond single-chip limitations

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Deeply technical founders with rare photonics and AI infrastructure expertise from MIT and NASA
Addresses fundamental physics bottleneck rather than software workaround
Government SBIR partnership provides validation and non-dilutive funding
Full-stack vertical integration creates potential for defensible moat
Impressive claimed benchmarks with 5x latency and 10x power efficiency improvements

Cons

Pre-commercial with no customers, pricing, or revenue — pure R&D stage
Hardware startups require extremely long timelines and significant capital
Claims are unverified with no independent benchmarks or testimonials
Competing against well-funded Cerebras, Groq, and SambaNova with years of head start

Plans & pricing

What's included in each plan, and how the tiers compare.

Early Access

Contact for pricing

Photonic inference
Pre-commercial access
Custom deployment

View official pricing page

Common use cases

Teams needing fast, scalable inference infrastructure

High-speed model inference
Scalable AI compute
Large model serving

Using Piris Labs with Respan

Piris Labs provides next-generation inference hardware while Respan monitors AI application performance. Together they optimize both the compute layer and the application layer.

Monitor model performance on Piris Labs infrastructure via Respan
Track inference latency improvements alongside application quality metrics
Evaluate output quality across different inference backends using Respan

Run Piris Labs in production with Respan

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1,000+Models

5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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Best Piris Labs alternatives & competitors

Top companies in Inference & Compute you can use instead of Piris Labs.

NVIDIA

H100 and B200 GPU clusters