Lightmatter Email Format

Computer Hardware Manufacturing
201-500 employees
Mountain View, CA, USA

Lightmatter is a computer hardware company developing photonic computing technology to power next-generation AI and high-performance computing systems.

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first@lightmatter.co

Company Overview

Industry
Computer Hardware Manufacturing
Founded
2017
Headquarters
Mountain View, CA, USA
Revenue
$25M-$50M
FUNDING Stage
Private
Key Executives
Nicholas Harris (Founder, CEO), Simona Jankowski (Chief Financial Officer)

Tech Stack

AWS

Cloud

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Key Executives

Chief Executive Officer

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Chief Finance Officer

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Chief Operating Officer

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Chief Technology Officer

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Chief Marketing Officer

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Chairman

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4.9/5 on G2
40K+ GTM professionals
SOC 2 Type II certified

Frequently Asked Questions

What is the email format of Lightmatter?

Lightmatter uses the first format, so Jane Smith would be jane@lightmatter.co.

What are the main product lines Lightmatter offers for AI interconnect?

Lightmatter offers two core product lines: the Passage photonic interconnect platform, which includes 3D photonic link solutions like the L200 and L20, and the Guide VLSP light engine series, an external light source technology designed to power next-generation AI supercomputers.

Where is Lightmatter headquartered and how large is the company?

Lightmatter is headquartered in Mountain View, CA, and has 325 employees. The company focuses on photonic computing and interconnect technology for AI infrastructure.

Who founded Lightmatter and who leads the company today?

Nicholas Harris, a PhD graduate from MIT with over 87 patents, co-founded Lightmatter and serves as its CEO. Simona Jankowski serves as Chief Financial Officer. You can use Clay to quickly pull verified contact details for Lightmatter's leadership team.

How does Lightmatter's Passage platform differ from traditional copper interconnects for AI data centers?

Lightmatter's Passage platform uses photonic links instead of copper to remove the bandwidth bottleneck at chip interfaces, supporting co-packaged optics configurations from near-package to full 3D integration, targeting hyperscaler AI infrastructure deployments in the 2026 and beyond timeframe.

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