Reflection AI is a frontier artificial intelligence lab focused on building large-scale open models that rival the capabilities of top global AI institutions. With deep roots in DeepMind’s Gemini, AlphaGo, and reinforcement learning systems, the team specializes in agentic reasoning, autonomous coding, and high-performance compute infrastructure. The company aims to democratize access to advanced models by developing open training stacks, scalable compute clusters, and next-generation MoE-based architectures.
What Is Reflection AI and What Does It Do?
Reflection AI, founded in 2024 by Misha Laskin and Ioannis Antonoglou, is a United States–based frontier AI research company developing large-scale open foundation models.
The company builds an advanced training stack for Mixture-of-Experts models, autonomous coding agents, and agentic reasoning systems designed for global accessibility.
Reflection AI employs about 60 employees, primarily elite AI researchers, engineers, and RL specialists.
Its platform supports open frontier-scale research, autonomous coding models, and large-scale LLM training capabilities designed to rival leading global AI labs.
How Much Funding Has Reflection AI Raised?
1. Series A
- Amount Raised: $2B
- Date: 2025
- Motivation: To build an open frontier AI lab, scale compute clusters, recruit top talent, and develop tens-of-trillions-token frontier LLMs.
Total Funding Raised: $2 Billion
Current Valuation: $8 Billion (as of 2025)
Latest Funding Date: 2025
Key Investors
1. Institutional Investors
- Details: Multiple top-tier VCs and sovereign-backed partners supporting frontier AI innovation in the U.S.
- Investment Focus Areas: AI research, compute infrastructure, agentic systems.
- Notable Investments: Reflection AI, OpenAI, Anthropic.
Where Is Reflection AI’s Headquarters?
Reflection AI is headquartered in the United States, positioned within an advanced AI research hub that enables recruitment of top ML researchers, access to high-performance compute infrastructure, and proximity to leading AI institutions and regulatory stakeholders.
What’s Next for Reflection AI?
Reflection AI plans to release a frontier-scale open LLM trained on tens of trillions of tokens, expand its compute cluster, and deepen research into autonomous agents and Mixture-of-Experts architectures. With its $2B raise and $8B valuation, the company intends to challenge leading frontier labs, accelerate open scientific progress, and establish itself as America’s open frontier AI institution.
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