Rain AI
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.
- Company typePrivate
- Founded2017
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingHardware or Manufacturing
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.
Rain AI firmographics
Firmographics- 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
Rain AI industry classification
Industry- 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
Where Rain AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Rain AI business model
Business model- GTM type
- B2B
- Offering type
- Hardware or Manufacturing
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- IP Licensing: Rain AI licenses its chip designs and IP to customers. The company plans to begin IP licensing for designs in Q1 2024.
- 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
Rain AI product offering
Product offeringCore 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
Companies that use Rain AI
Customer profileSegments2 records
Ideal customer profiles2 records
Rain AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability1 record
Feature4 records
Rain AI partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- Andes TechnologycoreRain 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 InstitutecorePartnership 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
Rain AI competitors and assessment
Company assessmentDirect 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
Rain AI social profiles
Digital presenceRain AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Rain AI leadership team
Management profileNumber of profiles
Profiles9 records
Rain AI funding detail
Funding detailFunding overview
Funding rounds8 records
Investors23 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Rain AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Rain AI
What does Rain AI do?
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.
Is Rain AI a public or private company?
Rain AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Rain AI founded?
Rain AI was founded in 2017. It employs 11 to 50 people.
Where is Rain AI based?
Rain AI is headquartered in San Francisco, United States, in the North America region.
How does Rain AI make money?
Two revenue lines are on record. IP Licensing is the primary driver. The others are hardware/Accelerator Sales.
Who are Rain AI's main competitors?
Direct peers on record are Lightmatter, Mythic AI, Groq, Cerebras Systems, SambaNova Systems and Tenstorrent. Syntiant is listed as an emerging player. Broad incumbents are Nvidia, AMD (Xilinx & Pensando) and Intel (Habana Labs).
Does Rain AI have an API?
No public API is recorded for Rain AI.
What industry is Rain AI in?
Rain AI's product category is AI Accelerator Semiconductors. Its primary akta.pro industry code is HDAAAAAA, AI Accelerators (GPUs/TPUs/NPUs/ASICs), with a secondary code of HDAHAJAF, AI/Neural Processing Units (NPUs) & ML Accelerators. Its NAICS code is 33411 and its SIC code is 3571.