AI-RAN Alliance
The AI-RAN Alliance is a global industry consortium integrating AI into Radio Access Networks through three working groups (AI-for-RAN, AI-and-RAN, AI-on-RAN), serving 132 members across operators, vendors, academia, and governments via tiered annual membership and published reference architectures.
- Company typePrivate
- Founded2024
- Headquarters—
- Headcount1–10
- GTM typeB2B
- OfferingServices
What AI-RAN Alliance does
The AI-RAN Alliance is a global industry consortium founded in February 2024 at Mobile World Congress Barcelona by AWS, Ericsson, Microsoft, Nokia, Samsung, NVIDIA, and T-Mobile US to integrate artificial intelligence into Radio Access Networks. Its work is organized across three working groups — AI-for-RAN (AI-driven spectral and operational optimization, radio resource management, predictive maintenance), AI-and-RAN (shared compute infrastructure enabling AI and RAN workloads to coexist on common hardware), and AI-on-RAN (edge AI deployment for low-latency inference and new edge applications) — plus task groups on Data-for-AI, Test Methodology, Agentic AI, and AI-RAN Commercialization. The alliance's core "products" are foundational technical publications rather than commercial software: the AI-RAN Reference Architecture Framework v1.2, AI/ML Techniques for RAN Performance white paper, AI-RAN Platform and Infrastructure Orchestrator (with AITRAS reference implementation), and the AI-on-RAN white paper, supplemented by 33 demonstrations at MWC 2026 and a $150K Call for Innovation Proposals program.
The alliance operates as a non-profit, member-funded consortium with tiered annual dues ($20K for organizations >$100M revenue, $10K for $10M-$100M, $5K for <$10M, $1K for non-profit/university/government). Membership reached 132 organizations across 17+ countries as of February 2026, spanning operators, technology vendors, hyperscalers, semiconductor companies, academia, and testing labs. Governance is provided by a board chaired by Dr. Alex Jinsung Choi (SoftBank), with vice chair from Samsung Research America, secretary from NVIDIA, and treasurer from Ericsson. The alliance operates four Alliance-Endorsed Labs (Keysight, Northeastern University, SUTD, VIAVI VALOR) for vendor-neutral validation, and signed a collaboration MOU with Linux Foundation Networking in August 2025 to align with mainstream open-source telecom projects.
AI-RAN Alliance firmographics
Firmographics- Name
- AI-RAN Alliance
- Legal name
- AI-RAN Alliance
- Website
- https://ai-ran.org
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- The AI-RAN Alliance is a global industry consortium integrating AI into Radio Access Networks through three working groups (AI-for-RAN, AI-and-RAN, AI-on-RAN), serving 132 members across operators, vendors, academia, and governments via tiered annual membership and published reference architectures.
- Ownership category
- akta.pro rank
AI-RAN Alliance industry classification
Industry- Product category
- Wireless Telecommunications Research and Standards
- NAICS
- Computer Systems Design and Related Services (5415), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
- akta.pro primary industry
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
- akta.pro secondary industries
- Edge AI Deployment, Orchestration & OTA Model Updates (HDAAAJAI), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
Keywords
AI-RAN Alliance business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Operations, Technology or R&D, Marketing or Sales, Others
Revenue model
- Membership Dues: Annual membership fees collected from member organizations. Tiers based on annual revenue: $20,000 for revenue >$100M, $10,000 for $10M-$100M, $5,000 for <$10M, and $1,000 for non-profit/university/government.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Large Enterprise Tier |
| Subscription | Annual | Mid-Market Tier |
| Subscription | Annual | Small Business Tier |
| Subscription | Annual | Non-Profit / University / Government Tier |
Go-to-market motion2 records
Distribution channels1 record
Marketing channels6 records
AI-RAN Alliance product offering
Product offeringCore offering
The AI-RAN Alliance is a global industry consortium that develops and publishes AI-native Radio Access Network frameworks, white papers, and reference architectures across three focus areas: AI-for-RAN (AI-driven performance optimization), AI-and-RAN (shared compute infrastructure for AI and RAN workloads), and AI-on-RAN (edge AI deployment on RAN infrastructure). It operates through working groups, task groups, and Alliance-Endorsed Labs to drive collaborative R&D, validation, and commercialization of AI-integrated 5G and 6G networks.
Product overview
The AI-RAN Alliance is an industry consortium focused on accelerating the integration of artificial intelligence into Radio Access Networks, not a product company with commercial offerings. The alliance's core 'products' are its published frameworks, white papers, and technical specifications that define how AI-native RAN should be built: the AI-RAN Reference Architecture Framework (v1.2), AI/ML Techniques for RAN Performance white paper, AI-RAN Platform and Infrastructure Orchestrator (with AITRAS reference implementation), AI-on-RAN white paper, and Open-RAN AI/ML Integration technical report. These foundational publications establish architectural foundations and operations strategies to transform RAN into a multi-purpose platform. The alliance also operates through four active working groups (AI-for-RAN, AI-and-RAN, AI-on-RAN) and task groups (Data-for-AI, Test Methodology, Agentic AI, AI-RAN Commercialization), and runs demonstration programs showcasing AI-RAN innovations (33 demos at MWC 2026) and an annual Call for Innovation Proposals program ($150K funding). The alliance does not offer commercial products or APIs.
Differentiator
Problem solved
Functional benefit
Products and services
- AI-RAN Reference Architecture Framework (v1.2)
- State-of-the-Art AI/ML Techniques for RAN Performance White Paper
- AI-RAN Platform and Infrastructure Orchestrator (AITRAS)
- AI-on-RAN White Paper
- AI-RAN Alliance-Endorsed Labs
- Call for Innovation Proposals Program
Quantifiable outcome
- 30%+ uplink throughput improvement in 5G networks through AI-based PUSCH channel estimation
- +2 more outcomes
Companies that use AI-RAN Alliance
Customer profileNamed customers5 records
Segments4 records
Ideal customer profiles3 records
AI-RAN Alliance technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability13 records
Feature5 records
AI-RAN Alliance partnerships and signals
Strategic signalPartnerships
20 partnerships are on record, tiered core, major and supporting.
- Linux Foundation (LF Networking)coreCollaboration announced August 8, 2025 via MOU to accelerate innovation in AI-native networks and advance evolution toward 6G. Brings together LFN's open development model with AI-RAN Alliance's mission to optimize AI-RAN, aiming to enhance network performance and flexibility through open innovation. Supports shared goals and promotes progress in AI-RAN.
- Japan Ministry of Internal Affairs and Communications (MIC)majorJapan's MIC joined as a new member in February 2026, expanding global collaboration and policy alignment for AI-RAN adoption.
- South Korea AI Network Alliance (AINA)majorCollaboration with South Korea's AI Network Alliance (AINA), supported by Ministry of Science and ICT (MSIT), to support development of use cases and facilitate contribution of trial results to relevant working groups.
- NVIDIAcoreNVIDIA is a key executive member providing GPU infrastructure for AI-RAN demonstrations. DeepSig collaboration with NVIDIA on Learned Air Interface with Online Learning using DGX Spark for simultaneous L1 processing and AI-RAN workload sharing.
- Samsung ElectronicscoreSamsung is an executive member and board participant. Active in multiple demonstrations including AI-based PUSCH channel estimation with Keysight and NVIDIA, and collaboration with SK Telecom on AI-RAN technology for 6G era.
- EricssoncoreEricsson is an executive member contributing to working groups. Felipe Arraño Scharager serves as Vice Chair of AI-for-RAN working group. Mathias Riback serves as TSC Vice Chair.
- NokiacoreNokia is an executive member with Ari Kynäslahti as Senior Vice President of Strategy and Technology, CTO Mobile Networks. Steph Delvoye chairs Marketing Steering Committee.
- MicrosoftcoreMicrosoft is an executive member with Yongguang Zhang as Partner Research Manager. Contributes to AI infrastructure and edge computing capabilities.
- VIAVI SolutionscoreVIAVI collaborates with over 20 partner organizations including AI-RAN Alliance for MWC 2026 demonstrations. VIAVI's CTO highlighted importance of trusted partner collaboration in AI era. Demonstrations include Agentic AI-RAN digital twins, ray-tracing-based lab testing, and ISAC applications for disaster monitoring.
- SoftBank Corp.coreSoftBank partnered with Samsung Electronics to collaborate on AI-based radio access networks (AI-RAN), expanding previous similar agreements with Nokia and Ericsson. Collaboration focuses on research and development in 6G, AI for RAN, and AI and RAN.
- VodafonecoreVodafone joined as executive member and board participant in July 2025. Francisco Martin, Head of Open RAN, stated commitment to using AI to optimize radio access network performance and leveraging shared infrastructure for AI and RAN workloads.
- ARMcoreARM is an executive member with Mo Jabbari as Director of Telco and Networking Solutions, advancing efficient infrastructure solutions for wireless deployments.
- DeepSigcoreDeepSig is an executive member and co-founder Jim Shea serves as CEO. Provides AI-native wireless intelligence and learned air interface technologies.
- Northeastern UniversitycoreNortheastern University is an executive member with Tommaso Melodia as William L. Smith Professor and Director of Institute for Wireless Internet of Things. Michele Polese chairs AI-and-RAN working group.
- Keysight TechnologiescoreKeysight leads Test Methodology task group with Balaji Raghothaman as lead. Provides testing and validation solutions including Propsim channel emulation for AI-RAN demonstrations.
- QualcommcoreQualcomm joined as board member in February 2026. Jack Nasielski serves as Senior Director. Demonstrated AI-powered SMO platform with agentic interface validated on production networks.
- Red HatcoreRed Hat provides Kubernetes-based cloud-native infrastructure for AI-RAN Blueprint Platform with zTouch and Northeastern University. Enables infrastructure-as-code foundation for AI-RAN environments.
- Singapore University of Technology and Design (SUTD)coreJihong Park chairs AI-on-RAN working group. SUTD collaborates on LLM-based beamforming, adaptive privacy-preserving edge AI model partitioning, and AI-on-RAN orchestration for autonomous systems.
- Tiami NetworkssupportingTiami Networks collaborates on Integrated Sensing and Communications (ISAC) demonstrations with Vodafone, transforming wireless signals into intelligent sensing platforms.
- GlobalLogicsupportingGlobalLogic collaborates on AI-Assisted Ghost Preamble Detection with VIAVI and Agentic Workload Swarm Scheduler with Keysight.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
AI-RAN Alliance competitors and assessment
Company assessmentBroad incumbents
- GSMA: Global mobile industry organization representing mobile operators and the broader ecosystem. Comparable convening power and operator membership overlap, with broader scope (policy, spectrum, industry initiatives) versus AI-RAN's narrow AI-and-RAN focus.
- ETSI: European Telecommunications Standards Institute producing globally applicable standards for ICT including telecom and emerging AI-for-network topics. Represents both a competing standards venue and a potential collaboration channel for AI-RAN technical specifications.
- 3GPP: Primary global standards body for mobile telecommunications (GSM through 5G-Advanced). AI-RAN Alliance must align its blueprints with 3GPP specifications; 3GPP is the formal gatekeeper whose adoption or non-adoption of AI-RAN concepts will determine Alliance impact.
- Small Cell Forum: Industry association driving small cell and heterogeneous network deployment. Shares the member-driven working-group model and operator-vendor composition, with adjacent focus on radio access infrastructure.
- ATIS (Alliance for Telecommunications Industry Solutions): North American telecom standards body addressing technical, operational, and policy issues. Operates adjacent to 3GPP with regional focus; potential partner or competitor for AI-RAN architectural standards influencing US carrier deployments.
Direct peers
- Telecom Infra Project (TIP): Facebook-launched telecom infrastructure consortium with operator and vendor members collaborating on disaggregated network architectures. Comparable member-driven model and cross-industry working group structure, with overlapping membership (Vodafone, T-Mobile, Intel, Microsoft).
- O-RAN ALLIANCE: Industry consortium driving Open RAN architecture and interoperability, with a similar member-driven model spanning operators and vendors. Most direct functional analogue, and O-RAN ALLIANCE represents both a collaboration partner and the most relevant competitive standards venue for AI-RAN concepts.
- NGMN Alliance: Operator-led alliance guiding the development of next-generation mobile networks including 5G and 6G. Comparable membership model focused on operator requirements and roadmap influence, with shared institutional positioning at industry inflection points.
Regional players
- 5G Americas: Regional industry trade association representing the 5G and beyond ecosystem across the Americas. Comparable member-driven model and operator-vendor composition, with regional (Americas) versus global scope.
Emerging players
- Open RAN Policy Coalition: Policy-focused coalition promoting open and interoperable RAN architectures among governments and industry. Shares advocacy and policy-alignment approach with AI-RAN's government engagement (Japan MIC, Korea MSIT), though narrower in technical scope.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
AI-RAN Alliance social profiles
Digital presenceAI-RAN Alliance financial estimates
Financial estimateRevenue estimate
Valuation estimate
AI-RAN Alliance leadership team
Management profileNumber of profiles
Profiles9 records
AI-RAN Alliance funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
AI-RAN Alliance 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 AI-RAN Alliance
What does AI-RAN Alliance do?
The AI-RAN Alliance is a global industry consortium that develops and publishes AI-native Radio Access Network frameworks, white papers, and reference architectures across three focus areas: AI-for-RAN (AI-driven performance optimization), AI-and-RAN (shared compute infrastructure for AI and RAN workloads), and AI-on-RAN (edge AI deployment on RAN infrastructure). It operates through working groups, task groups, and Alliance-Endorsed Labs to drive collaborative R&D, validation, and commercialization of AI-integrated 5G and 6G networks.
Is AI-RAN Alliance a public or private company?
AI-RAN Alliance is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was AI-RAN Alliance founded?
AI-RAN Alliance was founded in 2024. It employs 1 to 10 people.
How does AI-RAN Alliance make money?
One revenue line is on record: membership Dues.
Who are AI-RAN Alliance's main competitors?
Broad incumbents on record are GSMA, ETSI, 3GPP, Small Cell Forum and ATIS (Alliance for Telecommunications Industry Solutions). Direct peers are Telecom Infra Project (TIP), O-RAN ALLIANCE and NGMN Alliance. 5G Americas is listed as a regional player. Open RAN Policy Coalition is listed as an emerging player.
Does AI-RAN Alliance have an API?
No public API is recorded for AI-RAN Alliance.
What industry is AI-RAN Alliance in?
AI-RAN Alliance's product category is Wireless Telecommunications Research and Standards. Its primary akta.pro industry code is HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI), with a secondary code of HDAAAJAI, Edge AI Deployment, Orchestration & OTA Model Updates. Its NAICS code is 5415 and its SIC code is 7373.