Rain AI

What Rain AI does

Rain AI (legal name Rain Neuromorphics Inc.) is a San Francisco-based semiconductor company founded in 2017 that designs energy-efficient AI accelerator hardware based on a compute-in-memory (CIM), non-von Neumann architecture. Rather than separating memory and processing as in conventional GPU designs, Rain AI's chips perform matrix computations directly inside memory bit-cells, which the company claims can reduce energy consumption for AI workloads by up to 50X relative to traditional architectures. Its solution integrates Andes AX45MPV RISC-V vector cores, custom CIM instructions supported by the Andes ACE/COPILOT compiler, and proprietary compiler and runtime software to target generative AI training and inference across data centers, edge devices, and mobile form factors.

The company monetizes through two planned revenue streams: IP licensing of its CIM chip designs (planned from Q1 2024) and sale of physical accelerator hardware (planned for end of 2024 / early 2025), both delivered through a Priority Access Program that targets enterprise AI customers and device manufacturers via direct enterprise field sales. Rain AI has raised approximately $35M+ in disclosed equity across a 2018 seed (including Y Combinator and Airbus Ventures), a $25M Series A led by Prosperity 7 Ventures in February 2022, an $8.1M investment from Epic Venture Partners in May 2024, and a $2.13M SEC-filed offering; a further reported $150M round led by Sam Altman in November 2024 is reported to value the firm at approximately $600M. Strategic partnerships with Andes Technology (RISC-V integration) and Mila (algorithm co-design with Yoshua Bengio's institute), combined with senior engineering hires from Apple and Meta, position the company to commercialize its CIM platform for the energy-intensive AI compute market.

Name

Rain AI

Legal name

Rain Neuromorphics Inc.

Website

https://rain.ai

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

Rain AI is a San Francisco-based fabless semiconductor startup founded in 2017 that designs energy-efficient AI accelerators using a compute-in-memory architecture, targeting generative AI inference and training workloads across data centers and edge devices.

Ownership category

akta.pro rank

Product category

AI Accelerator Semiconductors

NAICS

Computer and Peripheral Equipment Manufacturing (33411), Printed Circuit Assembly (Electronic Assembly) Manufacturing (334418)

SIC

Electronic Computers (3571), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI Accelerators (GPUs/TPUs/NPUs/ASICs) (HDAAAAAA)

akta.pro secondary industries

AI/Neural Processing Units (NPUs) & ML Accelerators (HDAHAJAF), AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI), Edge AI Hardware & NPUs (SoCs, modules, accelerators) (HDAAAJAC)

Keywords

• AI accelerator chips
• Compute-in-memory hardware
• Energy-efficient semiconductors
• Neural processing units
• AI chip IP licensing

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Hardware or Manufacturing

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

1. IP Licensing: Rain AI licenses its chip designs and IP to customers. The company plans to begin IP licensing for designs in Q1 2024.
2. Hardware/Accelerator Sales: Sale of physical accelerators and chips to customers. Physical accelerators or chips planned for customers at end of 2024, beginning of 2025.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

Core offering

Rain AI designs and develops energy-efficient AI accelerator chips using proprietary compute-in-memory (CIM) technology that integrates memory and processing on a non-von Neumann architecture. The company licenses its chip IP to customers and partners through a Priority Access Program and plans to deliver physical AI accelerators for generative AI training and inference workloads. Its solutions target data center, mobile, and edge sensor deployments with up to 50X lower energy consumption than traditional GPU-based architectures.

Product overview

Rain AI offers a unified product portfolio centered on its compute-in-memory (CIM) AI accelerator technology. The core product is an AI chip/accelerator that uses non-von Neumann architecture with integrated memory and processing to achieve up to 50X energy reduction. This is complemented by the Priority Access Program through which Rain licenses its IP and provides hardware samples to customers. The company also utilizes Andes AX45MPV RISC-V vector processor cores as part of its solution architecture.

Differentiator

Problem solved

Functional benefit

Products and services

• Compute-in-Memory (CIM) AI Accelerators AI accelerator chips utilizing novel compute-in-memory technology that integrates memory and processing to achieve energy efficiency up to 50X better than traditional von Neumann architectures. Designed for generative AI inference and training workloads and deployable across data center, mobile, and edge sensor form factors.
• Priority Access Program Enterprise engagement program allowing AI companies, data center operators, and device manufacturers to request hardware samples and license Rain AI's compute-in-memory AI accelerator IP. Served by direct enterprise sales motion.

Quantifiable outcome

• Energy consumption reduced by as much as 50X for matrix operations compared to traditional architectures
• +1 more outcomes

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability1 record

Feature4 records

Partnerships

Two partnerships are on record, tiered core.

• Andes TechnologycoreTechnology or Integration · 3 June 2024Rain AI licensed Andes AX45MPV RISC-V vector processor and taps Andes Custom Computing Business Unit to accelerate integration of CIM technology with RISC-V processing cores. Andes' ACE/COPILOT compiler enables custom instruction customization for CIM computing blocks.
• Mila - Quebec Artificial Intelligence InstitutecoreStrategic or Co-development Partner · 22 May 2023Partnership with Mila, founded by Yoshua Bengio, to deepen algorithm expertise and innovate on new types of learning algorithms. Mila brings together 1,000+ academic researchers in machine learning to collaborate on hardware-algorithm co-design.

Scale indicators6 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Lightmatter: Lightmatter builds photonic compute-in-memory AI accelerators, making it the closest architectural peer to Rain AI's CIM approach; both target energy-efficient AI inference and training with novel non-von Neumann designs.
• Mythic AI: Mythic develops analog compute-in-memory AI processors for edge inference, directly comparable to Rain AI's CIM architecture and overlapping edge AI customer use cases like vision and sensor analytics.
• Groq: Groq builds LPU inference accelerators optimized for generative AI, competing with Rain AI for low-latency, energy-efficient inference workloads at the data center tier.
• Cerebras Systems: Cerebras builds wafer-scale AI compute systems targeting training and inference for large models; comparable to Rain AI as a competing alternative to Nvidia GPUs in data center AI compute.
• SambaNova Systems: SambaNova offers integrated AI accelerator systems (RDU) for enterprise generative AI training and inference, competing with Rain AI for the same enterprise AI compute customer base.
• Tenstorrent: Tenstorrent develops RISC-V-based AI accelerators, sharing Rain AI's RISC-V architectural approach (via Andes) and targeting energy-efficient AI training and inference.

Emerging players

• Syntiant: Syntiant builds ultra-low-power neural decision processors for edge devices, overlapping with Rain AI's edge AI inference value proposition for battery-constrained sensors and IoT.

Broad incumbents

• Nvidia: Nvidia dominates the AI accelerator market with GPUs and CUDA software; Rain AI is publicly positioned as one of twelve startups explicitly competing against Nvidia's data center and edge AI footprint.
• AMD (Xilinx & Pensando): AMD offers Instinct AI GPUs and acquired Xilinx adaptive SoCs, providing broad competition to Rain AI across both data center AI accelerators and edge/embedded AI inference.
• Intel (Habana Labs): Intel's Habana Labs builds Gaudi AI accelerators for training and inference; comparable as a broad incumbent alternative to Nvidia in AI compute, against which Rain AI positions its CIM energy efficiency.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/rain-artificial-intelligence
• Xx.com/rain__ai
• Facebookfacebook.com/rainneuromorphics

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds8 records

Investors23 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rain AI