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§ Private Profile · Austin, TX, USA
Llama is a technology company.
Meta AI develops Llama, a family of foundational large language models. Available in parameter sizes, these accessible tools facilitate AI research. Llama models generate creative text, solve mathematical theorems, predict protein structures, and perform reading comprehension, built on training datasets.
The Llama project launched from Meta AI in February 2023, addressing the insight that restricted access to powerful language models hampered scientific progress. Meta AI democratized this technology, providing performant models to the global research community, fostering new approaches without immense resources.
Llama primarily serves academic researchers, government bodies, civil society groups, and industry laboratories. Meta AI’s vision promotes open science, accelerating collaborative AI progress. The company seeks to enhance understanding, improve robustness, and mitigate challenges like bias and toxicity within large language models, driving responsible innovation.
Llama has raised $11.0M across 2 funding rounds.
Llama has raised $11.0M in total across 2 funding rounds.
Llama has raised $11.0M across 2 funding rounds. Most recently, it raised $6.0M Seed in November 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2023 | $6M Seed | Electric Capital, Founders Fund | Acrew Capital, C2 Investment, Citi Ventures, CrunchFund, Gradient Ventures, Sangeen ZEB, Infinite Capital, Liquid 2 Ventures, Pioneer Fund, Polygon Labs, Predictive VC, Sequoia Capital, Spark Capital, Jarrod Dicker, Peter Reinhardt, Zachary Sims, Elad GIL, Nathan Mccauley, Sandeep Nailwal, Sina Habibian, Stani Kulechov, Viktor Bunin, Will Gaybrick, Amplify Partners, FJ Labs | Announced |
| Mar 3, 2021 | $5M Series A | UBS | — | Announced |
Llama is a family of open-source large language models (LLMs) developed by Meta AI, designed for generative AI tasks like text generation, coding, summarization, and multimodal processing of text, images, and video.[6][5][8] It serves developers, enterprises, and applications across sectors such as healthcare, customer service, finance, and space exploration, solving problems like language barriers, inefficient workflows, and the need for customizable, cost-effective AI without proprietary lock-in.[1][2][4] By March 2025, Llama 2.0 achieved over 2 million downloads, support for 200+ languages, and adoption by over 50% of Fortune 500 companies for automation and content tasks, with Llama 4 models like Scout and Maverick driving further growth through superior speed, efficiency, and a new API.[1][3][4]
Llama originated from Meta AI's efforts to advance accessible AI, with the first models released in February 2023 as foundational LLMs ranging from 1 billion to 2 trillion parameters.[6] Meta expanded to instruction-tuned versions starting with Llama 2, emphasizing open-source availability for research and commercial use, fueled by CEO Mark Zuckerberg's vision for democratized AI.[1][2][6] Pivotal moments include the March 2025 surge with Llama 2.0's multilingual and multimodal upgrades, LlamaCon—the first dedicated conference—and the Llama 4 API launch, which simplified integration to one line of code while partnering with IBM, Red Hat, and others.[1][4] Early traction built through downloads, Fortune 500 pilots, and real-world deployments like on the International Space Station.[2]
Llama rides the open-source AI wave, challenging proprietary models by accelerating innovation through community-driven improvements and reducing costs for enterprises.[2][4] Its timing aligns with 2025's demand for efficient, multimodal AI amid hardware constraints and global adoption needs, evidenced by Fortune 500 pilots and emerging market growth.[1][3] Market forces like rising compute costs and data privacy concerns favor Llama's low-cost, customizable approach, influencing the ecosystem via partnerships (e.g., Box/IBM, Snowflake) and deployments in high-stakes areas like healthcare and space, fostering a "developer gravity" that Meta cultivates through events like LlamaCon.[2][4]
Llama's trajectory points to dominance in open-weight AI, with Llama 4's Scout, Maverick, and upcoming Behemoth models expanding multimodality and reasoning toward AGI-like capabilities.[3][5][8] Trends like on-device deployment, hardware integration, and API-driven customization will propel adoption, especially as license expansions target businesses in advertising, content, and social platforms.[3] Its influence could evolve from model provider to ecosystem orchestrator, pressuring closed systems while empowering startups—solidifying Meta's open-source surge as AI's defining force.[2][4]
Llama has raised $11.0M in total across 2 funding rounds.
Llama's investors include Electric Capital, Founders Fund, Acrew Capital, C2 Investment, Citi Ventures, CrunchFund, Gradient Ventures, Sangeen Zeb, Infinite Capital, Liquid 2 Ventures, Pioneer Fund, Polygon.