We are building artificial brains.

Rain was founded by a small group of passionate individuals outside of Silicon Valley who have brought together world class investors and industry leading technologists to achieve their goal of brain-scale artificial intelligence.

Our team.

We are a multidisciplinary team dedicated to solving the most important problems in artificial intelligence.

Jack Kendall

CTO and Co-founder

Gordon Wilson

CEO and Co-founder

Juan Nino

Chief Scientific Advisor and Co-founder

Alex Conklin

Neuromorphic Research Engineer

Ross Pantone

Head of Product

William Passo

Chief Operating Officer

Suhas Kumar

Head of Applied Research

Mohammed Fouda

Research Scientist, Machine Learning

Our investors.

Our investors share our mission to build a brain and bring AI to every industry.

Y Combinator S18

Airbus Ventures

Sam Altman CEO, OpenAI

Daniel Gross Founder, Pioneer

Liquid 2 Ventures

Loup Ventures

Our board members.

Our board brings decades of experience in the semiconductor and cloud computing industries.

Jackson Hu, PhD Former CEO of SiRF Technology, former CEO and Chairman of UMC.

Mike Miller, PhD General Partner at Liquid 2 Ventures, former founder of Cloudant.

Blog.

01.

Rain raises $25 million Series A

Third-party publication, 2022

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02.

Rain tapes out demo chip for analog AI

Third-party publication, 2021

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03.

A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation

Academic paper, 2021

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04.

Equilibrium Propagation in Analog Circuits

Videos, 2020

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05.

Next Platform TV Appearance on Physcis-based, All-analog AI Hardware

Videos, 2020

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06.

Neural Networks Without Matrix Math

Third-party publication, 2020

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07.

Tiecon AI ML Panel: Hardware Enabling AI Revolution

Videos, 2020

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08.

Startup and Academics Find Path to Powerful Analog AI

Third-party publication, 2020

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09.

Research Proves End-to-End Analog Chips for AI Computation Possible

Third-party publication, 2020

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10.

Rain Named to the EETimes Silicon 100: Emerging Startups to Watch

Third-party publication, 2020

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11.

Training End-to-End Analog Neural Networks with Equilibrium Propagation

Academic paper, 2020

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12.

Beyond Moore's Law: Neuromorphic Computing?

Third-party publication, 2020

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13.

Building Blocks of a Brain-Inspired Computer

Academic paper, 2020

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14.

Neuromorphic Computing & Next-Gen AI Chips

Third-party publication, 2019

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15.

Conversation with Loup Ventures

Podcasts, 2019

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16.

Inside AI: Live! Presentation

Videos, 2019

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17.

Building smarter, scalable hardware for artificial intelligence.

Academic paper, 2018

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18.

How AI Processors Can Help us Understand the Brain

Videos, 2018

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