Reflection AI Inc.
Category: AI Developer Tools
Reflection AI is developing autonomous coding agents that leverage reinforcement learning and large language models to automate complex software development tasks, pushing the boundaries toward superintelligent systems. Reflection AI Inc. was founded in 2024. The company is led by Misha Laskin. Based in New York, NY, USA. Team size: 60-111. Total funding raised: $2.16B. Latest round: $2B Series B (Oct 2025, $8B valuation). Key investors include Sequoia Capital, CRV, Lightspeed Venture Partners, Nvidia Corp., Reid Hoffman, Scale AI CEO Alexandr Wang.
AMW Analysis
Reflection AI develops autonomous coding agents and open-source frontier models designed to automate complex software engineering tasks. Since its founding in 2024, the company has rapidly scaled, raising approximately $2.16 billion in total funding. A $2 billion Series B in October 2025, led by Nvidia, valued the company at $8 billion; by March 2026, it had secured an additional $2 billion at a valuation exceeding $20 billion. Investors include Sequoia Capital, Lightspeed Venture Partners, and Scale AI's CEO.
Recent news highlights a major operational milestone: in June 2026, Reflection signed a compute agreement with SpaceX valued at up to $6.3 billion, paying $150 million per month through 2029 for access to Nvidia GB300 chips at SpaceX's data center. The deal reflects the company's shift from pure model development toward securing large-scale compute infrastructure. This trajectory, combined with rapid valuation growth and backing from Nvidia and others, positions Reflection as a significant Western open-source AI player, directly competing with proprietary and Chinese open-source models.
AMW analysis, generated from 7 tracked news signals.
- Founded
- 2024
- Headquarters
- New York, NY, USA
- Team size
- 60-111
- Total funding
- $2.16B
Value proposition
Boosts productivity and efficiency by automating complex coding tasks with advanced AI-driven agents.
Products and solutions
Asimov (code comprehension research agent), frontier open-weight LLM (in development), autonomous coding agents for vulnerability scanning, memory optimization, reliability testing, documentation generation and infrastructure management
Unique value
Combines reinforcement learning and large language models to create autonomous coding agents capable of advanced reasoning and iterative self-improvement.
Target customer
Software developers and technology companies seeking to optimize coding workflows
Industries served
Software Development, Technology
Technology advantage
Utilizes deep expertise in RL and LLMs to enable the full automation of complex coding tasks, aiming for breakthrough advancements in AI-driven software development.
How they differentiate
Focuses on end-to-end automation of coding tasks with a unique blend of RL and LLMs, going beyond simple code completion.
Main competitors
DeepSeek, OpenAI, Anthropic, GitHub Copilot
Key partnerships
Sequoia Capital, CRV, Lightspeed Venture Partners, Nvidia Corp., Reid Hoffman, Scale AI CEO Alexandr Wang, GMI Cloud (GPU infrastructure partnership, Nov 2025), Disruptive, DST, 1789 Capital, B Capital, GIC, Eric Yuan, Eric Schmidt, Citi
Major milestones
Secured $130M in initial funding (Mar 2025) Raised $2B Series B at $8B valuation (Oct 2025) Pivoted from autonomous coding to frontier open intelligence (Oct 2025) Launched Asimov code comprehension agent (late 2025) Targeting $2.5B raise at $25B valuation (Mar 2026) Assembled team of 60-111 experts from DeepMind, OpenAI, Google, and Meta
Growth metrics
Rapid recruitment of elite AI talent and early significant funding milestones
Market positioning
Emerging leader in autonomous coding systems with a vision towards superintelligent automation
Geographic focus
Global, with a strong presence in major tech hubs
Patents and IP
Not publicly disclosed
About Misha Laskin
Misha Laskin is a seasoned AI scientist and entrepreneur with a rich background in theoretical physics and extensive experience in reinforcement learning. Before co-founding Reflection AI, he was a Staff Research Scientist at DeepMind, where he contributed to the Gemini RL team. His postdoctoral work at Berkeley AI Research and his PhD in theoretical physics from the University of Chicago have provided him with a deep understanding of complex systems, which he now applies to the development of autonomous coding agents.
Latest news about Reflection AI Inc.
- Reflection lands SpaceX compute deal as Nvidia-backed open-source AI startup
- Reflection AI signs $6.3B compute deal with SpaceX for access to Nvidia GB300 chips
- Reflection AI has secured $2 billion at over $20 billion valuation, more than doubling from $8 billion in just five months. Backed by NVIDIA and Sequoia Capital, this U.S. open-source AI startup is be
- Nvidia-backed Reflection AI has raised 2 billion USD in funding, boosting its valuation to 8 billion USD just seven months after its Series A. Founded by former DeepMind researchers, the startup build
- Reflection AI recently secured 2 billion USD at an 8 billion USD valuation to develop open-weight models that challenge closed-source giants. The hiring of Dr. Jin Wu from Google highlights a strategi
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Official website: https://www.reflection.ai/
