Since launch in July, Agnes AI, a Singapore-born AI platform, has garnered over 2 million registered customers worldwide, with day by day lively customers reaching 150,000 — roughly half of them from Southeast Asia. The platform is demonstrating a outstanding progress trajectory and is reshaping the aggressive world AI panorama.

Led by a group anchored in Singapore’s analysis ecosystem and based by a Raffles Establishment alumnus and Nationwide College of Singapore (NUS) AI PhD, Agnes has developed a completely proprietary 7B state-of-the-art (SOTA) mannequin, positioning itself as a shining instance of Singapore’s ambition within the world “sovereign AI” motion.

The group is now making ready to coach its next-generation, larger-scale mannequin domestically, alongside finishing a tens of tens of millions of {dollars} funding spherical, a key step in strengthening Singapore’s AI capabilities.

From Raffles Scholar to AI Entrepreneur: The Singaporean Dream

World AI growth is shifting from purely computing energy competitors to sovereign functionality competitors. From ASML’s funding in Europe’s AI firm Mistral to nationwide AI initiatives within the Center East and Japan, nations are actually prioritising native AI autonomy.

Agnes’s success is grounded in Singapore’s sturdy expertise pipeline, analysis tradition, and engineering experience.

Founder Bruce exemplifies this pathway. After attending Raffles Establishment, he pursued twin levels in Arithmetic and Pc Science at UC Berkeley, learning below a Turing Award-winning professor and graduating with excessive honours forward of schedule. He later labored at Microsoft and LinkedIn, and co-founded a Silicon Valley startup that achieved over tens of millions downloads.

Through the COVID-19 pandemic, Bruce returned to Singapore to pursue a PhD in AI at NUS, a transfer that laid the muse for Agnes. There, he quickly constructed an area AI group, drawing expertise from NUS, Nanyang Technological College (NTU), and worldwide establishments similar to MIT, Stanford, and UC Berkeley.

With an area base however world perspective, the group’s mission is obvious:

“To construct AI that originates in Singapore, serves Southeast Asia, and competes on the worldwide stage, whereas strengthening Singapore’s autonomy in next-generation AI.”

Explosive Progress: 2 Million Customers Since Its Launch in July

Since its Product Hunt launch on 4 July 2025, Agnes has achieved 2 million registered customers and 150,000 DAU. Roughly 50% of customers are from Southeast Asia, and the app has constantly ranked within the Prime 10 productiveness instruments throughout Google Play shops within the Philippines, Vietnam, Indonesia, and different markets.

Agnes is an all-in-one AI assistant, integrating Search, Analysis (Deep Analysis & Vast Analysis), AI Slides, AI Design, and Collaboration options.

Its success will not be resulting from stacking a number of instruments, however to embedding AI seamlessly into productiveness and inventive workflows, making AI accessible for everybody.

Customers can transfer from AI analysis to content material and slide creation in a single interface, avoiding the friction of switching between apps. After producing slides, Agnes mechanically creates a shared workspace, permitting group members to edit, annotate, and refine content material collaboratively with AI help.

“This seamless workflow addresses key productiveness challenges,” a consumer commented.
“Agnes’s velocity and high quality in advanced duties like slide technology outperform rivals, and group collaboration has improved several-fold.”

Agnes’s performance now spans private, tutorial, and enterprise use instances.

Proprietary Agnes-R1 Mannequin Delivers SOTA Efficiency

Powering Agnes’s seamless product expertise is its absolutely proprietary and domestically controllable AI expertise stack. With Singapore’s distinctive benefits in geography, coverage help, and expertise growth, Agnes stands out not solely as a product firm however as a research-driven innovation powerhouse.

Supported by top-tier tutorial expertise from the Nationwide College of Singapore (NUS) and Nanyang Technological College (NTU), the Agnes group demonstrates full-stack innovation capabilities from theoretical frameworks to end-to-end system implementation.

In contrast to many AI instruments that rely closely on abroad open-source fashions, Agnes selected to construct its personal mannequin structure solely from the bottom up. Its proprietary 7-billion-parameter mannequin, Agnes-R1, has achieved State-of-the-Artwork (SOTA)efficiency amongst its friends. The mannequin’s sturdy token effectivity, reasoning velocity, and output high quality have been rigorously validated throughout real-world industrial use instances.

Designed for orchestration, analysis, and presentation technology, Agnes-R1 delivers SOTA-level efficiency on a smaller mannequin scale whereas sustaining coaching stability and constant reward optimization enabling scalable, cost-efficient efficiency positive aspects.

On a number of QA (Query Answering) benchmarks, the Agnes-R1 7B mannequin outperformed comparable techniques by 34.1%, and surpassed earlier 14B fashions by practically 9% on advanced multi-hop reasoning duties similar to HotpotQA, all whereas sustaining excellent coaching stability.

These findings are detailed within the group’s paper “Secure and Environment friendly Coverage Optimization for Agentic Search and Reasoning (DSPO)”, which has been submitted to ICLR 2025 and printed on arXiv. Paper hyperlink

Steady Breakthroughs in Multi-Agent Analysis

Past mannequin innovation, the Agnes group has additionally made notable progress in multi-agent techniques — a key space shaping the way forward for AI collaboration. Its paper, “CodeAgents: A Token-Environment friendly Framework for Codified Multi-Agent Reasoning in LLMs”, introduces a code-first prompting framework that permits structured and token-efficient planning in multi-agent environments. This method offers a scalable pathway for commercialising AI collaboration techniques. Paper hyperlink

One other examine, “ADR-Pushed Growth of a Multi-Agent Workspace for Productiveness and Coordination,”presents an Agentic Workplace System (AOS) — a large-language-model-based multi-agent workspace designed to deal with fragmentation and coordination challenges in trendy information work. Paper hyperlink

In the meantime, “Towards Efficient AIGC for Advertising: A Principle-Pushed System Design and Empirical Analysis”proposes a theory-based AIGC framework for advertising picture technology, integrating visible advertising ideas with diffusion fashions.

Constructed on a multi-agent structure — comprising prompting, technology, and analysis brokers — the system ensures range, authenticity, and theoretical alignment of generated advertising content material.

Collectively, these analysis milestones replicate Agnes’s distinctive place as an organization bridging tutorial analysis and industrial innovation, showcasing Singapore’s rising energy in constructing homegrown, sovereign AI capabilities.

Constructing Singapore’s Sovereign AI Functionality

Following the success of Agnes-R1, the group is now making ready to coach a larger-scale next-generation mannequin domestically with NUS and NTU.

Robust market progress and a high-caliber group have attracted investor curiosity. Agnes is finishing tens of tens of millions of greenback funding spherical to help mannequin scaling and worldwide growth.

Simply as Europe invests in Mistral by way of ASML to develop regional AI independence, Singapore’s NAIS 2.0 technique goals to ascertain the nation as a worldwide hub for AI innovation and governance.

Agnes exemplifies how domestically constructed, self-reliant AI techniques can mix analysis, coverage, and trade, contributing to Singapore’s sovereign AI ecosystem.

With next-generation fashions underway, this Singapore-born AI rising star may redefine the worldwide AI panorama.