Agnes AI Raises $10M Series A for Agentic Intelligence Infrastructure Targeting the 99.5% Priced Out of OpenAI

Singapore-based Agnes AI confirmed a $10 million Series A funding round led by LOOK FORWARD VCC and disclosed it is approaching $20 million in annual recurring revenue. The round closed on February 13, 2026, with the public announcement coming on April 13. The company builds proprietary AI models and infrastructure designed for what it calls “Agentic Intelligence,” a system-level platform enabling intelligent agents to reason, collaborate, and execute complex tasks, according to FinanceWire.

“Our models deliver about 90% of top-tier AI capabilities at roughly 10% of the cost,” CEO Bruce Yang told FinanceWire. “That efficiency allows us to bring advanced AI to a much broader audience than traditional AI platforms.”

The Long-Tail Thesis

Agnes targets what Yang calls the “other 99.5%” of the internet: billions of users who have never used premium AI tools, predominantly on Android devices in markets underserved by OpenAI and Anthropic pricing.

“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,” Yang told FinanceWire.

The platform now serves nearly 10 million users globally with multiple AI agent products built entirely in-house. Adoption is strongest in Southeast Asia, India, the Middle East, Japan, the UK, and the US, per FinanceWire.

Geopolitical Positioning

Yang frames Agnes explicitly as a third option beyond the US-China AI blocs.

“Agnes is a Singapore own AI platform independent from the technology blocs of the US and China,” Yang told FinanceWire. “That also positions Agnes AI as a potential third alternative to platforms like OpenAI and Minimax.”

The positioning arrives as Stanford’s 2026 AI Index, released the same day, reports the US-China performance gap has effectively closed. For governments and enterprises wary of dependence on either bloc’s infrastructure, neutral alternatives carry strategic weight.

Technical Architecture

Agnes operates a clustered model architecture across text, vision, and multimodal reasoning with intelligent routing that dynamically allocates tasks to specialized models. The company’s RLAF (Reinforcement Learning from Agentic Feedback) framework includes self-correction mechanisms, long-horizon reasoning for multi-step decisions, and multi-agent collaboration where AI systems evaluate and refine each other’s outputs, according to FinanceWire.

The company recently launched its Agnes-1.5-Pro and Agnes-1.5-Lite models, which have entered the PinchBench benchmark rankings. Developer-focused API services, including AI-powered search, productivity tools, and multimodal generation, are planned for Q2 2026.

The Market Signal

Agnes joins Sarvam AI ($300-350M for India’s sovereign AI stack, announced last week) in a growing wave of non-US, non-Chinese AI infrastructure companies raising capital with explicit AI sovereignty positioning. The $10M round is modest against US frontier lab raises, but the approaching $20M ARR on cost-efficient architecture suggests the long-tail market thesis has commercial validation. The question for the agent ecosystem is whether geopolitically neutral agentic infrastructure at 10% of US pricing can capture meaningful share in markets where OpenAI and Anthropic have not yet competed on price.