frontier-ai
(4)
micro1 Bet the AI Boom Would Run Out of Human Judgment
The young company began with an AI interviewer. It is now selling the scarce ingredient frontier models, workplace agents and robots all need: structured evidence of how capable people think and work.
RadixArk
RadixArk is an AI infrastructure company spun out of the team behind SGLang, the open-source inference engine that serves trillions of tokens a day for the likes of Google, Microsoft, NVIDIA, Oracle and xAI. Founded by Ying Sheng and Banghua Zhu, RadixArk keeps SGLang and its reinforcement-learning framework Miles free and open while selling managed hosting and tooling on top, aiming to make building, training and running frontier models at least 10x cheaper and 10x more accessible. It launched publicly in May 2026 with a $100M seed round led by Accel and Spark Capital at a $400M valuation.
Reflection AI
Reflection AI is a New York-based artificial intelligence lab founded in 2024 by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou. It is building autonomous coding agents and open frontier language models, with the stated ambition of reaching superintelligence by first solving software engineering. Its flagship product, Asimov, is a code research and comprehension agent for large codebases. After raising $2 billion at an $8 billion valuation in October 2025, the company has positioned itself as an open, Western alternative to closed labs like OpenAI and Anthropic and to Chinese open-weight models like DeepSeek.
Labelbox
Labelbox is a San Francisco-based AI data factory that helps frontier AI labs and enterprises generate, label, and evaluate the high-quality training data their models need. Its platform combines annotation tools, model-assisted automation, and a global expert network (Alignerr) to power post-training, RLHF, and multimodal reasoning workloads.