Singapore’s AI platform strengthens its position as a model company driving multiple AI applications
SINGAPORE, March 20, 2026 (Globe Newswire) — As Singapore accelerates its national AI strategy, including the establishment of a National AI Council and plans to expand the country’s AI ecosystem announced by Prime Minister Lawrence Wong, a new generation of AI companies is emerging.
One of them, Agnes AI, is a Singapore-based model company that powers multiple AI applications and has just surpassed tens of millions of dollars in annual recurring revenue (ARR). The company also continues to expand its global AI platform and is working toward a potential listing on the Singapore Exchange (SGX) by the end of 2026. This milestone reflects both the company’s rapid growth and broader changes in how AI platforms are built and deployed globally.
“Our model delivers approximately 90% of top-level AI capabilities at approximately 10% of the cost,” said Bruce Yang, founder and CEO of Agnes AI. “Its efficiency allows us to deliver advanced AI to a much wider audience than traditional AI platforms.”
For Yang, the opportunity lies with what he calls the “other 99.5%” of the internet: the billions of users who have never used premium AI tools.
“Agnes is a Singapore-based AI platform that is independent from the US and Chinese tech spheres,” Yang added. “We are focused on serving users around the world rather than building within a single ecosystem. This also allows Agnes AI to become a third alternative to platforms such as OpenAI and Minimax.”
Agnes AI, headquartered in Singapore, is building what it calls agenttic intelligence infrastructure. It is a systems-level approach to AI that enables intelligent agents to reason, collaborate, and solve complex tasks across real-world environments.
Unlike many AI startups that primarily focus on consumer applications, Agnes positions itself as a model-first company that develops its own AI systems while also powering the growing ecosystem of AI applications.
AI for the long tail of the internet
Yang said Agnes is designed for what the company calls “long-tail users,” the vast majority of internet users who are underserved by current AI platforms.
“The users that Agnes wants to serve are the so-called long-tail users,” Yang explained. “This long tail is huge, representing approximately 99.5% of internet users worldwide. Many do not own a PC or iOS device; most use Android, and their experience with AI is often very surface-level. Many have never used paid AI features before.”
At the same time, Agnes operates as a model company that powers multiple AI applications, enabling advanced AI capabilities to be delivered to users through practical everyday tools rather than standalone research systems.
This commercial traction has enabled Agnes to approach annual recurring revenue of nearly $20 million, positioning the company as one of the fastest growing AI platforms originating from Southeast Asia.
Positioning: Model-first AI company with multiple AI applications
Agnes is building its platform on three core principles: AI Inclusion, AI Parity, and AI Neutrality.
AI adoption is focused on expanding access to advanced AI capabilities to billions of users who have traditionally been excluded from premium AI tools.
AI parity reflects the company’s ambition to give individuals access to capabilities that were once available only to large organizations.
Yang said AI’s neutrality reflects the company’s geographic and strategic positioning.
Building an agent intelligence infrastructure
Rather than focusing solely on application-layer AI products, Agnes develops system-level architectures designed for agentic intelligence.
At the core of the platform is the company’s RLAF (Reinforcement Learning from Agentic Feedback) framework, which leverages proprietary research systems such as:
Together, these technologies enable:
Self-correcting mechanism to improve output reliability
Long-term reasoning for complex multi-step decision-making processes
A multi-agent collaboration framework that allows AI systems to evaluate and adjust each other’s responses.
By combining these components into a unified infrastructure layer, Agnes aims to move beyond traditional generative AI to complete agent systems capable of autonomous reasoning and coordinated decision-making.
Technical architecture: intelligent routing and system-level orchestration
Agnes has developed a clustered model architecture that spans text, vision, and multimodal inference, allowing the platform to dynamically allocate tasks across specialized models.
With intelligent routing and system-level orchestration, the system automatically determines which model to handle a particular request. This architecture allows Agnes to significantly reduce training and inference costs while maintaining near-state-of-the-art performance.
The main features are:
Model clusters for multimodal inference (text, vision, hybrid tasks)
Dynamic compute allocation with intelligent routing
A cost-effective inference pipeline that reduces operational overhead
This efficiency allows Agnes to offer advanced AI capabilities to markets where expensive AI services were not previously available.
Recently, Agnes AI introduced the Agnes-Claw model. The model has already ranked in the PinchBench benchmark rankings, demonstrating the platform’s ability to achieve competitive performance alongside leading global AI systems while significantly reducing operating costs.
Growing market traction and adoption
Since its launch, Agnes AI has grown rapidly in Southeast Asia and other emerging markets. The platform currently serves millions of users around the world and is widely adopted in regions where access to premium AI tools has traditionally been limited.
The company has launched multiple AI agent products developed entirely in-house, and its broader ecosystem now serves nearly 10 million users worldwide.
This growth has led to strong commercial traction, with Agnes’ annual recurring revenue approaching $20 million, positioning it as one of the fastest growing AI platforms originating from Southeast Asia.
Extending the platform: API services for Agentic AI
Looking ahead, Agnes plans to launch API services for developers in the second quarter, covering AI-powered search, office collaboration tools, and multimodal generation. These APIs enable developers and businesses to build on Agnes’ Agentic AI infrastructure, supporting Agnes’ vision of becoming a Model-as-Infrastructor platform for integrating Agentic AI into products and workflows.
Adopting AI and driving global access
A central pillar of Agnes’ mission is to expand access to advanced AI technologies beyond traditional technology hubs.
While many global AI systems focus on a limited number of languages and markets, Agnes prioritizes inclusive AI development to ensure its systems are relevant to diverse users around the world.
Through localized datasets, optimized infrastructure, and cost-effective architecture, the platform enables users in emerging markets to access advanced AI capabilities without paying the high costs typically associated with premium AI tools.
This approach reflects Agnes’ broader mission to build AI for the 99.5% of internet users who have never used a paid AI service.
Funding and global expansion
Agnes AI is closing on its latest round of funding, having raised tens of millions of dollars in recent funding rounds, driven by rapid user growth and strong investor interest in innovation.
Key target markets include Southeast Asia, India, the Middle East, Japan, the UK, and the US, with a localized strategy designed to bring advanced AI capabilities to a global user base.
About Agnes AI
Agnes AI is a Singapore-based artificial intelligence platform focused on building agenttic intelligence as infrastructure. The company develops proprietary AI models and system-level architectures that enable intelligent agents capable of reasoning, collaboration, and autonomous problem solving.
Founded by Bruce Yang, a Raffles Institute graduate currently pursuing a PhD in artificial intelligence at the National University of Singapore, Agnes AI has grown rapidly since its launch, serving millions of users worldwide and now approaching $20 million in annual recurring revenue.
Through her model-first approach and commitment to AI adoption, Agnes aims to make advanced AI capabilities accessible to industries, businesses, and communities around the world.
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Contact: Victoria Agatha Marketing Agnes AI agnes(at)sapiens-ai.io
