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  "markdown": "Co-founder and CEO.\n\nRamin Hasani is co-founder and CEO of Liquid AI, spun out of MIT CSAIL, and a machine learning scientist at CSAIL. He was previously a principal AI and machine learning scientist at Vanguard and a postdoctoral associate at CSAIL with Daniela Rus. His TU Wien PhD and later research centred on liquid neural networks.\n\n- LinkedIn: https://www.linkedin.com/in/raminhasani\n- X: https://x.com/ramin_m_h\n\n## What Ramin builds\n\n- [LFM2.5-2.6B](https://www.anchorterminal.com/tools/lfm2-5-2-6b.md), graded D, 51.5/100, in Open-weight models. LFM2.5-2.6B is Liquid AI's open-weight 2.6B hybrid model of convolution and attention layers for on-device agents, with tool calling, thinking always on and a 131,072-token context, published on 4 August 2026 with Liquid's own GGUF, MLX and ONNX builds. Co-founder and CEO, researched 2026-10-27.\n- [Liquid d1](https://www.anchorterminal.com/tools/liquid-d1.md), graded E, 44.8/100, in Decision models. d1 is Liquid AI's decision model family. It answers typed yes or no, choice and score questions about text and images with probabilities, through the hosted d1 and d1-ultra models and the open-weight d1-3B and d1-omni-600M. Co-founder and CEO, researched 2026-10-27.\n\n## Works with\n\n- [Alexander Amini](https://www.anchorterminal.com/people/alexander-amini/), Co-founder and Chief Science Officer\n- [Daniela Rus](https://www.anchorterminal.com/people/daniela-rus/), Co-founder\n- [Mathias Lechner](https://www.anchorterminal.com/people/mathias-lechner/), Co-founder and CTO\n- [Tim Seyde](https://www.anchorterminal.com/people/tim-seyde/), Post-training researcher at Liquid AI\n\n## Backed by\n\n- [AMD](https://www.anchorterminal.com/investors/amd/)\n\n## Questions\n\n### Who is Ramin Hasani?\n\nRamin Hasani is co-founder and CEO of Liquid AI, spun out of MIT CSAIL, and a machine learning scientist at CSAIL. He was previously a principal AI and machine learning scientist at Vanguard and a postdoctoral associate at CSAIL with Daniela Rus. His TU Wien PhD and later research centred on liquid neural networks.\n\n### What does Liquid AI make?\n\nAnchor Terminal lists LFM2.5-2.6B and Liquid d1 from Liquid AI. LFM2.5-2.6B is Liquid AI's open-weight 2.6B hybrid model of convolution and attention layers for on-device agents, with tool calling, thinking always on and a 131,072-token context, published on 4 August 2026 with Liquid's own GGUF, MLX and ONNX builds.\n\n### Who has invested in Liquid AI?\n\nThe sources our research read name AMD.\n\n### How are Ramin's tools graded?\n\nLFM2.5-2.6B is graded D, 51.5 out of 100; Liquid d1 is graded E, 44.8 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.\n\n## Sources\n\n- https://www.liquid.ai/company\n- https://www.raminhasani.com/#home\n- https://www.liquid.ai/blog/d1-decision-model\n- https://www.linkedin.com/in/raminhasani\n- https://twitter.com/ramin_m_h\n- https://mlech26l.github.io/\n- https://www.linkedin.com/in/mlech26l\n- https://x.com/mlech26l\n- https://www.mit.edu/~amini/\n- https://www.linkedin.com/in/alexanderamini\n- https://www.linkedin.com/in/daniela-rus-220b3\n- https://www.liquid.ai/blog/lfm2-5-2-6b\n- https://tseyde.github.io\n- https://x.com/timseyde\n- https://www.liquid.ai/\n- https://www.liquid.ai\n- https://www.liquid.ai/connect\n- https://docs.liquid.ai/lfm/models/lfm25-2.6b\n\nThese are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page, /about/#author). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.\n",
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