At Rain, we're building AI processors to radically reduce the cost of AI.

Our first product is an edge AI platform for on-device deep neural network inference and training.


  • It will be ~140x more energy efficient than today's incumbents, while also possessing categorically different offerings via training capabilities.


  • Rain achieves this record performance through radical co-design between hardware, software, algorithms, and systems.


Combining processing and memory—in-memory computing—is a critical element of our technology platform that enables dramatic gains in efficiency.


  • Our IP includes efficient training algorithms co-designed with hardware to reduce data movement, SRAM-based in-memory-compute core, AI-specific RISC-V based architecture, and efficient numerical representation via quantization, sparsity, efficient attention, and neural architecture search. Long term, it is scaling architectures that massively reduce energy consumption, alternative training algorithms to backpropagation, and second-order optimization


  • A scaled-up version of our first product is targeted for low volume release in H1 2025. The third product is a data center accelerator for both inference and training, especially for large language models (LLMs). Taking into account further software and algorithmic optimization, our long-term products could gain an additional 100x energy efficiency to a total of ~10,000x better than status quo hardware.



See our Learn More section to get more information on our generation 1 product and/or to connect with our team.



Our team.


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

Jack Kendall

Jack Kendall

CTO and Co-founder

Gordon Wilson

Gordon Wilson

CEO and Co-founder

Juan Nino

Juan Nino

Chief Scientific Advisor and Co-founder

Alex Conklin

Alex Conklin

Head of Hardware Engineering

Ross Pantone

Ross Pantone

Head of Product

William Passo

William Passo

Chief Operating Officer

Suhas Kumar

Suhas Kumar

Head of Research

Andrei Santalo

Andrei Santalo

Head of Partnerships and People

Mohammed Fouda

Mohammed Fouda

Research Scientist, Machine Learning

Ludmila Levkova

Ludmila Levkova

Senior Staff Research Engineer, Machine Learning

Nawab Ali

Nawab Ali

Lead Architect, Engineering

Ben Scellier

Ben Scellier

Principal Research Scientist

Maxence Ernoult

Maxence Ernoult

Research Scientist, Machine Learning

Gregory Kolmer

Gregory Kolmer

Lead Technical Program Manager

Andy Gill

Andy Gill

Principal Engineer

Hayley Mesojednik

Hayley Mesojednik

Talent Acquisition & People Ops Lead

Ramyad Hadidi

Ramyad Hadidi

Applied ML Researcher

Cagri Eryilmaz

Cagri Eryilmaz

Hardware Architect

Burak Erbagci

Burak Erbagci

Principal Design Engineer

Hamid Ghasemi

Hamid Ghasemi

Senior Staff Hardware Architect

Rebekah Leslie-Hurd

Rebekah Leslie-Hurd

Head of Software Engineering

Abhijit Balaji

Abhijit Balaji

Machine Learning Engineer

Andrew Farmer

Andrew Farmer

Senior Staff Software Infrastructure Engineer

Cagla Cakir

Cagla Cakir

Principal Design Engineer

Tracey DellaRova

Tracey DellaRova

Principal Layout Engineer

Amrusha Krishna

Amrusha Krishna

Senior Compiler Engineer

Farshid Varno

Farshid Varno

Research Scientist

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Our investors.

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

Our board members.

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

Jackson Hu, PhD
Jackson Hu, PhD Former CEO of SiRF Technology, former CEO and Chairman of UMC.
Mike Miller, PhD
Mike Miller, PhD General Partner at Liquid 2 Ventures, former founder of Cloudant.
Nicole Conner
Nicole Conner Partner @ Airbus Ventures