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  "markdown": "Co-founder and CTO.\n\nMathias Lechner is co-founder and CTO of Liquid AI, which builds the LFM2 family of efficient language models, and a research affiliate at MIT CSAIL working with Daniela Rus. He completed his PhD at the Institute of Science and Technology Austria in 2022 and studied computer science at TU Wien.\n\n- LinkedIn: https://www.linkedin.com/in/mlech26l\n- X: https://x.com/mlech26l\n\n## What Mathias 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 CTO, 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 CTO, 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- [Ramin Hasani](https://www.anchorterminal.com/people/ramin-hasani/), Co-founder and CEO\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 Mathias Lechner?\n\nMathias Lechner is co-founder and CTO of Liquid AI, which builds the LFM2 family of efficient language models, and a research affiliate at MIT CSAIL working with Daniela Rus. He completed his PhD at the Institute of Science and Technology Austria in 2022 and studied computer science at TU Wien.\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 Mathias'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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