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ByNN Desk
Agnes AI Raises Tens of Millions in Funding
The Singapore-based model company eyes an SGX listing by the end of 2026 as it expands its agentic AI platform to emerging markets.
The Singapore-based model company Agnes AI eyes an SGX listing by the end of 2026 as it expands its agentic AI platform to emerging markets.
Agnes AI, a Singapore-based artificial intelligence platform, has raised tens of millions of dollars in its latest funding round and is approaching $20 million in annual recurring revenue, the company said in a press release published March 17. The company is also exploring a potential listing on the Singapore Exchange by the end of 2026.
The funding comes as Singapore’s government accelerates its national AI strategy. Prime Minister Lawrence Wong has announced plans to establish a National AI Council and expand the country’s AI ecosystem. Agnes AI positions itself as a beneficiary of that policy environment and as an independent platform outside the technology ecosystems of the United States and China.
Bruce Yang, founder and chief executive officer of Agnes AI, said the platform’s proprietary models deliver roughly 90% of top-tier AI capabilities at approximately 10% of the cost of competing systems. Yang is a Raffles Institution alumnus currently pursuing a PhD in artificial intelligence at the National University of Singapore. “That efficiency allows us to bring advanced AI to a much broader audience than traditional AI platforms,” Yang said in the press release.
Agnes AI describes its core market as “long-tail users,” mostly global internet users who have not used paid AI tools. The company said its platform now serves nearly 10 million users worldwide, with strong adoption across Southeast Asia, and that the majority of its users access the platform on Android devices. Agnes said it has launched multiple in-house-developed AI agent products spanning search, office collaboration, and multimodal content generation.
On the technical side, Agnes AI has built what it calls Agentic Intelligence infrastructure. The architecture uses a clustered model design spanning text, vision, and multimodal reasoning, with intelligent routing that allocates tasks across specialised models to reduce inference costs. The platform is built around a reinforcement learning framework, the company calls RLAF (Reinforcement Learning from Agentic Feedback), which incorporates two proprietary research systems: DSPO (Dynamic-filter Sequence-level Policy Optimization) and UV (Universal Verifier). Agnes said it recently introduced a model called Agnes-Claw, which has entered the PinchBench benchmark ranking alongside other global AI systems.
The company said it plans to launch developer-focused API services in the second quarter of 2026, covering AI-powered search, office collaboration, and multimodal generation. Target markets include Southeast Asia, India, the Middle East, Japan, the United Kingdom, and the United States.
It is unclear how the SGX listing would be structured or what valuation Agnes AI is targeting for a public offering. The company did not disclose the names of investors participating in the current funding round.
Agnes AI was founded by Yang and is headquartered in Singapore. The company launched in July 2025.
Disclaimer: This article is based on publicly available reporting. NervNow has not independently verified the claims and figures cited.
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