SEA-LION

What SEA-LION does

SEA-LION is a family of open-source, multilingual, and multimodal language models developed by AI Singapore (AISG), a national AI research programme funded by Singapore's National Research Foundation and hosted by the National University of Singapore and Nanyang Technological University. The model family is purpose-built on Southeast Asian tokens and cultural data, with support for 11+ regional languages including Burmese, Khmer, Lao, Malay, Indonesian, Filipino, Tamil, Thai, Vietnamese, and English. Core technical capabilities include transformer-based LLMs (4B to 70B parameters) built on Qwen, Gemma, Llama, and Apertus architectures, multimodal vision-language models, a specialized embedding suite for retrieval-augmented generation, and a proprietary custom speculative decoder that delivers up to 6x inference efficiency. The portfolio has expanded through multiple product launches—SEA-LION v3, v4, v4.5, the SEA-Guard safety collection, the SEA-LION Embedding Suite, StorywrAIter, AI Town, and the Migrant Workers Chatbot—supported by a community-driven data infrastructure (Project Aquarium and ATLAS).

SEA-LION does not operate as a commercial vendor. Models are released under permissive open-source licenses and freely downloadable from Hugging Face and Ollama. A free API tier (rate-limited at 10 calls/min) supports proof-of-concept development via the SEA-LION Playground, while production inference is routed through hyperscaler partners (AWS Bedrock, Cloudflare Workers AI, GCP Vertex AI, IBM WatsonX, NVIDIA NIM, Qualcomm AI Hub) where end users pay the cloud provider directly. SEA-LION does not directly charge for inference. The strategic value is captured through ecosystem influence, regional benchmark leadership (SEA-HELM, SEA-BED), and adoption across developer, enterprise, research, and government/public-sector segments in Southeast Asia.

Name

SEA-LION

Legal name

AI Singapore

Website

https://sea-lion.ai

Company type

Private

Operating status

Operating

Short description

SEA-LION is an open-source, multilingual, multimodal language model family developed by AI Singapore for Southeast Asia, supporting 11+ regional languages and distributed via Hugging Face, Ollama, and major hyperscalers. It serves developers, enterprises, researchers, and public-sector users across the region.

Ownership category

akta.pro rank

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Free Tier API Access: Free API access is provided for proof-of-concept development, rate-limited at 10 calls/min. This is used as a developer acquisition and adoption mechanism rather than a primary revenue driver, consistent with a government-funded national AI programme.
2. Cloud Partner / Managed Inference: SEA-LION models are available on hyperscalers including AWS Bedrock, Cloudflare Workers AI, GCP Vertex AI Model Garden, IBM WatsonX, and NVIDIA NIM. Users pay cloud partners directly for inference compute; SEA-LION does not directly charge.

Pricing tiers

Go-to-market motion3 records

Distribution channels10 records

Marketing channels7 records

Core offering

SEA-LION is a family of efficient, open-source, multilingual, multimodal language models designed specifically for Southeast Asia's linguistic and cultural diversity. The models support 11+ regional languages including Burmese, Khmer, Lao, Malay, Indonesian, Filipino, Tamil, Thai, Vietnamese, and English, and are accessible via direct download (Hugging Face, Ollama), a web Playground, an OpenAI-compatible REST API, and major cloud hyperscalers for production deployment.

Product overview

SEA-LION is a modular ecosystem of open-source multilingual AI products designed for Southeast Asia. The core offering consists of the SEA-LION family of language models (4B to 70B parameters) supporting 11+ regional languages, accessible via the Playground web interface, OpenAI-compatible API, and direct downloads. The portfolio includes specialized modules: SEA-Guard for culturally-aware content safety, and the SEA-LION Embedding Suite for semantic search and RAG applications. Complementary products like StorywrAIter (children's storytelling), AI Town (virtual simulations), and the Migrant Workers Chatbot demonstrate real-world applications. Infrastructure products including the Embedding Demo and ATLAS data catalog support the ecosystem. All models are fully open-source, available on Hugging Face and Ollama, and deployable across major cloud platforms.

Differentiator

Problem solved

Functional benefit

Brands

• SEA-Guard: Safety-focused Large Language Models (LLMs) fine-tuned to detect, moderate, and handle content according to Southeast Asian cultural norms and safety standards.
• SEA-LION Embedding Suite
• SEA-HELM
• ATLAS

Products and services

• SEA-LION Core Models Family of open-source multilingual language models (4B to 70B parameters) optimized for Southeast Asian languages, cultures, and contexts. Built on Qwen, Gemma, Llama, and Apertus architectures.
• SEA-Guard Collection of safety-focused LLMs fine-tuned to detect, moderate, and handle content according to Southeast Asian cultural norms. Available in text and vision modalities for content safety applications.
• SEA-LION Embedding Suite Specialized embedding models (E5-Embedding-600M, ModernBERT-Embedding-300M/600M) optimized for Southeast Asian languages for semantic search, RAG, and text similarity tasks. MIT Licensed.
• SEA-LION API REST API with OpenAI-compatible endpoints providing programmatic access to SEA-LION models for developers. Free tier for proof-of-concept, production deployment via cloud partners.
• SEA-LION Playground Web-based interface for testing SEA-LION models interactively, including access to various model sizes and capabilities for demonstration and evaluation purposes.
• StorywrAIter Children's story writing software designed for Southeast Asian languages, enabling creation of engaging stories with characters, settings, and themes for young writers.
• AI Town Virtual town simulation where AI characters interact and socialize in Southeast Asian languages, demonstrating multilingual conversational AI capabilities.
• Migrant Workers Chatbot Purpose-built chatbot powered by SEA-LION providing migrant workers in Singapore with 24/7 access to employment rights, healthcare, mental wellness, and financial literacy information in native languages.
• Project Aquarium Regional initiative (US$1M Google.org funded) to build a shared platform for collecting, curating, and annotating Southeast Asian language datasets to support more representative AI.

Quantifiable outcome

• SEA-LION-E5-Embedding-600M achieves 80.03 SEA-BED score, ranking #1 among embedding models for Southeast Asian languages
• +3 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability11 records

Feature7 records

Partnerships

17 partnerships are on record, tiered significant, core and minor.

• ACMI (Archdiocesan Commission for the Pastoral Care of Migrants & Itinerant People)significantStrategic or Co-development Partner · 1 January 2026Collaborated with AI Singapore and Google to co-create a multilingual AI chatbot for migrant workers in Singapore, providing culturally-sensitive support in Burmese, Filipino, and Indonesian. ACMI provided domain expertise on migrant worker needs and pastoral care.
• Ministry of Manpower (MOM) SingaporesignificantStrategic or Co-development Partner · 1 January 2026MOM provided invaluable support and guidance for the migrant workers chatbot, supplying publicly available policy information that the AI chatbot draws upon for employment rights, healthcare, and community services guidance.
• AWS (Amazon Web Services)coreTechnology or IntegrationSEA-LION models (Llama-based) are deployable via Amazon Bedrock Custom Model Import. AWS serves as a primary production inference platform for enterprise deployments.
• CloudflarecoreTechnology or IntegrationSEA-LION models are available via Cloudflare Workers AI for edge AI inference, enabling low-latency, globally distributed AI applications.
• Google Cloud Platform (GCP)coreTechnology or IntegrationSEA-LION models are available via GCP Vertex AI Model Garden for enterprise production inference.
• IBMcoreTechnology or IntegrationSEA-LION models are available via IBM WatsonX platform for enterprise AI deployments.
• NVIDIAcoreTechnology or IntegrationSEA-LION models are available via NVIDIA NIM (NVIDIA Inference Microservices) for high-performance GPU-accelerated inference.
• QualcommcoreTechnology or IntegrationSEA-LION models are available via Qualcomm AI Hub for edge and mobile device deployment, enabling on-device AI without cloud connectivity.
• National University of Singapore (NUS)coreOthersAI Singapore is hosted by the National University of Singapore (NUS), providing institutional infrastructure, academic resources, and research talent.
• Nanyang Technological University (NTU) SingaporecoreOthersAI Singapore is hosted by NTU (per ATLAS page), providing campus facilities and academic integration for the SEA-LION programme.
• AI4BharatminorStrategic or Co-development PartnerIndia-focused open language-model research initiative and ecosystem partner for ATLAS, collaborating on underrepresented language AI across Asia.
• AI Forum CambodiaminorStrategic or Co-development PartnerCambodian AI forum collaborating on language data and regional AI development for Southeast Asian underrepresented languages.
• VISTEC (Thailand)minorStrategic or Co-development PartnerThailand's Vidyasirimedhi Institute of Science and Technology, collaborating on regional AI development and language technology.
• KORIKA (Indonesia)minorStrategic or Co-development PartnerIndonesian AI research consortium collaborating on language data and AI development for Southeast Asian languages.
• BRIN (Indonesia)minorStrategic or Co-development PartnerBadan Riset dan Inovasi Nasional (National Research and Innovation Agency of Indonesia), collaborating on regional language AI research.
• GoTo (Indonesia)minorStrategic or Co-development PartnerIndonesian technology group (Gojek-Tokopedia) supporting the ATLAS ecosystem for Southeast Asian language data.
• E-CAIR (Philippines)minorStrategic or Co-development PartnerPhilippine AI research initiative collaborating on language data and regional AI development through Project Aquarium.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Regional players

• Aleph Alpha: Germany-based multilingual LLM company focused on European languages and sovereign AI for European enterprises. Comparable as a regionally-focused, multilingual, culturally-aligned LLM provider targeting institutional/government customers.

Broad incumbents

• OpenAI: Creator of GPT-4 and ChatGPT, the dominant commercial LLM provider whose APIs SEA-LION's API is OpenAI-compatible with. Represents the frontier-model benchmark SEA-LION must differentiate against in the SEA market.
• Mistral AI: France-based open-source LLM developer releasing competitive foundation models with permissive licenses. Comparable as an open-weight LLM provider targeting enterprise and developer adoption, though commercially focused and broader in scope.
• Alibaba Cloud (Qwen): Creator of the Qwen family of open-weight foundation models, which SEA-LION uses as a base for several variants. Comparable as a major open-source LLM provider with strong multilingual capabilities across Asian languages.
• Cohere for AI: Non-profit research arm of Cohere focused on multilingual foundation models and open-science contributions. Comparable as a research-driven multilingual LLM effort, though operating commercially under a larger enterprise AI company.
• Google DeepMind (Gemma): Creator of the Gemma family of open-weight models that SEA-LION fine-tunes for SEA languages. Functions both as an upstream architecture provider and a potential competitor via Gemini's expanding multilingual capabilities.
• Meta AI (Llama): Creator of the Llama family of open-weight foundation models on which SEA-LION's Llama variants are based. Relevant as the upstream open-source LLM provider whose architectures SEA-LION builds upon and competes with for multilingual coverage.

Emerging players

• AI21 Labs: Enterprise-focused LLM company offering Jurassic models and multilingual capabilities. Comparable as a non-hyperscaler LLM provider targeting enterprise customers with specialized language support and API-first distribution.

Direct peers

• BigScience (BLOOM): Multinational research collaboration that produced BLOOM, a 176B-parameter open-source multilingual LLM covering 46+ languages including several underrepresented ones. Directly comparable as an open-science, multilingual LLM initiative.
• AI4Bharat: India-focused open-source language AI initiative building Indic-language models and datasets, explicitly partnered with SEA-LION on ATLAS. Operates as an analogous national/academic research programme targeting low-resource Asian languages with open-source releases.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xtwitter.com/aisingapore
• GitHubgithub.com/aisingapore/sealion
• YouTubeyoutube.com/aisingapore
• Facebookfacebook.com/aisingaporepage
• LinkedInlinkedin.com/company/aisingapore
• Instagraminstagram.com/ai_singapore/?hl=en

Revenue estimate

Valuation estimate

Number of profiles

Subsidiaries3 records

Funding overview

Funding rounds

Investors

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 SEA-LION