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Reflection AI Inc.

Category: Foundation Models / LLMs

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. Total funding raised: $4.63B. Latest round: Series C. Key investors include Nvidia, Sequoia Capital, Lightspeed Venture Partners, CRV, JPMorgan Chase, Eric Schmidt, DST, 1789 Capital, B Capital, GIC, Citi, Reid Hoffman, 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
Total funding
$4.63B

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

SpaceX/SpaceXAI Colossus 2 compute (up to $6.3B, Jun 2026), Nebius compute (>$1B, Jul 2026), US DOE Genesis Mission / National Labs AI model provider (May 2026), Shinsegae 250MW Korea AI data center MoU (Mar 2026), Nvidia, GMI Cloud (Nov 2025)

Notable customers

US Department of Energy / National Laboratories (Genesis Mission AI model provider)

Major milestones

Secured $130M seed+Series A (Mar 2025), Launched Asimov code comprehension agent (Jul 2025), Raised $2B Series B at $8B valuation, pivoted to frontier open intelligence (Oct 2025), Closed ~$2.5B Series C at $25B pre / $27.5B post with JPMorgan (Mar–Apr 2026), DOE Genesis Mission AI model provider for National Labs (May 2026), SpaceX Colossus 2 compute deal up to $6.3B (Jun 2026), Nebius >$1B compute deal, headcount ~230 (Jul 2026)

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.

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