Open Intelligence for Everyone: Our Investment in Reflection AI

Editor’s note: This post was originally published in March 2025 and updated in August 2026 to reflect Reflection AI’s expanded mission.

For enterprises, governments, and sovereign entities, control over their intelligence is becoming an important part of their AI infrastructure. Each organization has its own requirements around how models are deployed, how they can be customized, and where their data lives.

To bring those models into production, these organizations need the software and infrastructure to deploy and operate AI at scale while also meeting requirements for performance, safety, and efficiency. For the public sector, that can also mean being able to audit, modify, and run models on their own infrastructure with data that never leaves their environment.

We believe Reflection is built to address these challenges.

At Lightspeed, we have long believed that AI will fundamentally redefine intelligence itself. Few frontiers are as compelling as scaling the autonomous capabilities of LLMs with reinforcement learning, and we’d argue Reflection AI is leading the charge with its approach to reasoning and problem-solving.

Since we co-led Reflection’s $130 million financing in 2025, the company is building on its work in autonomous software engineering to develop open-weight models spanning reasoning, coding, and agentic tasks as part of a broader mission around open intelligence.

From Autonomous Coding to Open Intelligence

Autonomous code generation using LLMs has already reshaped the fundamental practice of software engineering. While transformative, these innovations remain incapable of addressing what has so steadfastly resisted automation: conceptualization, design, specification, and testing. These are the high-value parts of the software supply chain and are now computationally addressable with AI.

Reflection began by applying its expertise in reinforcement learning and LLMs to that problem.

The company pioneered RL post-training techniques that enabled its systems to go beyond code completion. They could plan, debug, and execute complex programming tasks autonomously, approaching software development as a multi-step process that required reasoning, iteration, and learning from failure.

Autonomous coding remains part of Reflection’s work today, but the scope has grown.

Reflection is now a frontier lab and a full-stack AI partner for enterprises, public sector entities, and sovereign national organizations seeking control, customization, and efficiency in their AI infrastructure.

Its mission is to make intelligence open and accessible to all.

Building Open Intelligence at Scale

Reflection’s core offering is a family of open-weight models trained end-to-end in-house.

The models are designed to rival the world’s leading open models, delivering performance across reasoning, coding, and agentic tasks while remaining fully open for developers to customize and build on.

Beyond developing frontier models, Reflection builds the software and infrastructure that bring them into production. Its offerings include open source software, turnkey AI factories, and custom AI solutions that help enable customers to deploy and operate sovereign AI at scale.

For Reflection, the case for open intelligence starts with control. Open models can give organizations full control of their intelligence layer, help protect against vendor lock-in, pricing changes, and API deprecations while enabling self-hosted deployment with a more predictable cost structure as AI workloads scale.

They can also be fine-tuned to an organization’s unique requirements, helping unlock materially higher performance on domain-specific use cases. Meanwhile, sovereign deployment enables organizations to audit, modify, and run an open model on their own infrastructure, with data that never leaves their environment.

Reflection builds AI systems around these requirements while aiming to deliver the highest standards of performance and safety. The company generates revenue by deploying and customizing sovereign AI for enterprises and governments, and by licensing its models to developers and businesses building commercial applications.

The Right Team at the Right Time

Game-changing technology is only possible with the right people behind it, and we think Reflection AI’s founders bring unparalleled expertise that sets them apart. Misha Laskin (Co-Founder & CEO) and Ioannis Antonoglou (Co-Founder & CTO) are not only accomplished AI researchers but also pioneers in the field of RL and AI decision-making.

Misha led reinforcement learning reward modeling for Gemini 1.5 after working under AI luminary Pieter Abbeel at UC Berkeley. Ioannis was a founding engineer at DeepMind and one of the co-creators of AlphaGo, the first AI system to defeat a world champion in Go, a breakthrough widely recognized as a milestone in artificial intelligence.

Their experience in long-horizon planning, search algorithms, and AI reasoning has enabled Reflection to approach code generation in a fundamentally different way. Instead of merely predicting the next likely line of code, their system evaluates multiple possible solutions, learns from failures, and dynamically refines its approach.

That same depth in reinforcement learning and LLMs now underpins Reflection’s work across its family of open-weight models.

Beyond its accomplished founders, since its founding, the company has assembled more than 100 AI researchers who have driven major breakthroughs in LLMs and reinforcement learning over the past decade at DeepMind, OpenAI, Anthropic, and Meta, with more than 300,000 combined citations.

Looking Ahead

Reflection has come a long way since our original investment in 2025, and the scope of what the team is building has grown with it.

The company is now entering its next phase with a broader ambition around open intelligence, backed by the same depth in reinforcement learning and LLMs that first drew us to the team.

We’re proud to continue supporting Misha, Ioannis, and the Reflection team.

The content here does not constitute an offer to sell or a solicitation of an offer to buy any securities or investment advisory services.

The views expressed are those of the authors and do not necessarily represent the views or opinions of Lightspeed. Other market participants could take different views. Unless otherwise indicated, the inclusion of any third-party firm and/or company names, brands and/or logos are for representational purposes and does not imply any affiliation with these firms or companies and also does not imply their endorsement of the views expressed by the authors.

Certain information contained herein is based on information from various sources prepared by third parties. While such sources are believed by Lightspeed to be reliable, neither Lightspeed nor its affiliates assume any responsibility for the accuracy or completeness of such information, and such information has not been independently verified by Lightspeed. For more details please see https://www.lsvp.com/legal.