Insider Brief
- Agnes AI has raised $10 million in Series A funding and is approaching $20 million in annual recurring revenue as it scales its cost-efficient AI infrastructure platform.
- The company develops proprietary models and agentic AI systems designed to deliver advanced capabilities at significantly lower cost, targeting underserved “long-tail” users globally.
- With growing adoption across emerging markets and millions of users, Agnes is positioning itself as a model-first AI platform focused on accessibility, efficiency, and global expansion.
PRESS RELEASE — Agnes AI, a Singapore’s artificial intelligence company, reports that it is approaching $20 million in annual recurring revenue (ARR) as it continues to develop its AI infrastructure platform. The company also confirmed that it closed a $10 million Series A funding round on February 13, led by LOOK FORWARD VCC. Agnes AI develops proprietary AI models and infrastructure designed to support multiple AI applications across global markets. The company states that its platform focuses on delivering cost-efficient AI capabilities through proprietary model clusters and intelligent routing mechanisms.
“Our models deliver about 90% of top-tier AI capabilities at roughly 10% of the cost,” said Bruce Yang, founder and CEO of Agnes AI. “That efficiency allows us to bring advanced AI to a much broader audience than traditional AI platforms.”
For Yang, the opportunity lies in what he calls the “other 99.5%” of the internet — billions of users who have never used premium AI tools.
“Agnes is a Singapore own AI platform independent from the technology blocs of the US and China,” Yang added. “Our focus is on serving global users rather than building inside a single ecosystem. That also positions Agnes AI as a potential third alternative to platforms like OpenAI and Minimax.”
Headquartered in Singapore, Agnes AI is building what it describes as Agentic Intelligence infrastructure — a system-level approach to AI that enables intelligent agents to reason, collaborate, and solve complex tasks across real-world environments.
Unlike many AI startups focused primarily on consumer applications, Agnes positions itself as a model-first company developing proprietary AI systems while simultaneously powering a growing ecosystem of AI applications.
AI for the Long Tail of the Internet
According to Yang, Agnes is designed for what the company calls “long-tail users” — the vast majority of internet users who remain underserved by current AI platforms.
“The users Agnes wants to serve are what we call long-tail users,” Yang explained. “This long tail is enormous — it represents about 99.5% of internet users worldwide. Many don’t own a PC or an iOS device. Most are on 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 powering multiple AI applications, enabling advanced AI capabilities to reach users through practical everyday tools rather than standalone research systems.
This commercial traction has helped Agnes approach nearly $20 million in annual recurring revenue, positioning the company among the fastest-growing AI platforms emerging from Southeast Asia.
Positioning: A Model-First AI Company with Multiple AI Applications
Agnes builds its platform around three core principles: AI inclusion, AI parity, and AI neutrality.
- AI inclusion focuses on expanding access to advanced AI capabilities for billions of users who have historically 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.
- AI neutrality, according to Yang, reflects the company’s geographic and strategic positioning.
Building Agentic Intelligence Infrastructure
Rather than focusing solely on application-layer AI products, Agnes is developing system-level architectures designed for Agentic Intelligence.
At the core of the platform is the company’s RLAF (Reinforcement Learning from Agentic Feedback) framework, powered by proprietary research systems, including
- DSPO (Dynamic-filter Sequence-level Policy Optimization)
- UV (Universal Verifier)
Together, these technologies enable:
- Self-correction mechanisms that improve output reliability
- Long-horizon reasoning for complex multi-step decision processes
- Multi-agent collaboration frameworks that allow AI systems to evaluate and refine each other’s responses
By combining these components into a unified infrastructure layer, Agnes aims to move beyond traditional generative AI toward fully agentic systems capable of autonomous reasoning and coordinated decision-making.
Technical Architecture: Intelligent Routing and System-Level Orchestration
Agnes has developed a clustered model architecture spanning text, vision, and multimodal reasoning, allowing the platform to dynamically allocate tasks across specialized models.
Using Intelligent Routing and System-Level Orchestration, the system automatically determines which model should handle a given request. This architecture enables Agnes to maintain near state-of-the-art performance while significantly reducing training and inference costs.
Key capabilities include:
- Model clusters for multimodal reasoning (text, vision, and hybrid tasks)
- Dynamic compute allocation through intelligent routing
- Cost-efficient inference pipelines that reduce operational overhead
- System-level orchestration enabling coordinated agent workflows
This efficiency allows Agnes to deliver advanced AI capabilities to markets where expensive AI services have historically been inaccessible.
Recently, Agnes AI introduced its own ‘Claw’ model series Agnes-1.5-Pro and Agnes-1.5-Lite, which has already entered the PinchBench benchmark ranking, demonstrating the platform’s ability to achieve competitive performance alongside leading global AI systems while maintaining significantly lower operational costs.
Market Traction and Growing Adoption
Since its launch, Agnes AI has grown rapidly across Southeast Asia and other emerging markets. The platform now serves millions of users globally, with strong adoption in regions where access to premium AI tools has traditionally been limited.
The company has launched multiple fully in-house-developed AI agent products, with the broader ecosystem now serving nearly 10 million users worldwide.
This growth has translated into strong commercial traction, with Agnes approaching $20 million in annual recurring revenue, positioning the company among the fastest-growing AI platforms emerging from Southeast Asia.
Expanding Global Reach with Developer-Focused API Services
Agnes AI continues to grow its international presence, supporting millions of users across Southeast Asia, India, the Middle East, Japan, the UK, and the US. Looking ahead to Q2, the company plans to launch developer-focused API services, including AI-powered search, productivity tools, and multimodal generation, enabling enterprises and developers to integrate Agnes’s Agentic AI infrastructure directly into their products and workflows. These APIs advance the platform’s vision of becoming a Model-as-Infrastructure solution, fostering a dynamic ecosystem of AI applications worldwide.
Advancing AI Inclusion and Global Access
A central pillar of Agnes’s mission is expanding access to advanced AI technologies beyond traditional technology hubs.
While many global AI systems focus on a limited set of languages and markets, Agnes prioritizes inclusive AI development, ensuring its systems are relevant to diverse global users.
Through localized datasets, optimized infrastructure, and cost-efficient architectures, the platform enables users in emerging markets to access advanced AI capabilities without the high costs typically associated with premium AI tools.
This approach reflects Agnes’s broader mission to build AI for the 99.5% of internet users who have never used paid AI services.
About Agnes AI
Agnes AI is a Singapore artificial intelligence platform focused on building Agentic 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 Institution alumnus and 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 globally and now approaching $20 million in annual recurring revenue.
Through its model-first approach and commitment to AI inclusion, Agnes aims to make advanced AI capabilities accessible to industries, businesses, and communities worldwide.
