LLM startups

Extracted Attributes

• 2024 Market Outlook

  Predicted losers in the business world due to open-source competition

• Technical Definition

  Machine learning models with many parameters trained via self-supervised learning on vast text datasets

• Emerging Value Driver

  Licensing deals for high-quality AI training data

• Key Operational Challenges

  High AI development costs, high latency, and intense market saturation

• Primary Competitive Threat

  Open-source AI models (e.g., LLaMA 2, Falcon, BLOOM)

Timeline

• Open-source models like LLaMA 2 (2 trillion tokens) and Falcon (1.5 trillion tokens) establish significant market presence. (Source: Web Search: Integrating AI in 2025)

  2023-12-31

• All-In Podcast hosts predict LLM startups will be among the year's business losers due to open-source competition. (Source: Document 5cad4e4e-79e4-401e-9806-ecf722cd9b15)

  2024-01-01

• Forecasts indicate a rise in licensing deals for generative AI training data involving major publishers. (Source: Document 5cad4e4e-79e4-401e-9806-ecf722cd9b15)

  2024-01-15

• Anticipated growth in startups integrating custom LLMs for software engineering and industry-specific use cases. (Source: Web Search: Integrating AI in 2025)

  2025-01-01

List of large language models

A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

Web Search Results

• Integrating AI in 2025: best LLM use cases for startups - Springs

  However, more and more open-sourcеLLMs can be used as a great alternative to closed ones with their benefits for startups and businesses. Let’s dive deeper into this and see how startups use open source large language model. According to Finxter, the most used open-source LLMs in 2023 were: OPT with 180 billion tokens BLOOM with 341 billion tokens LLaMa with 1.4 trillion tokens MPT with 1 trillion tokens Falcon with 1.5 trillion tokens LLaMA 2 with 2 trillion tokens [...] Open source LLMs are used in different industries but they are really useful, especially in software engineering-oriented startups and this trend will obviously grow in 2025. A great example of such a fast-growing company isHugging Face. Their platform has over 25000 models, 40000 datasets, and 50000 demo apps (Spaces). All of them are open source and publicly available, so customers can easily collaborate and build ML and AI applications. Image 5 Hugging Face Integration [...] A lot of startups have witnessed growth as a result of implementing custom LLMs into their businesses. The industries to integrate custom llm use case can be different: 1. Informational Technology

• Generative AI Startups funded by Y Combinator (YC) 2026

  The LLM Data Company is a research lab studying post-training data. We work with frontier AI teams to create bespoke tasks, rewards, and environments for models to play and learn at scale. aiops generative-ai artificial-intelligence](/companies/the-llm-data-company) [Cohesive X2025 • Active • 2 employees • New York, NY, USA [...] • Active • 2 employees • San Francisco, CA, USA TrainLoop makes it effortless for developers to supercharge LLM performance through reinforcement learning. developer-tools generative-ai reinforcement-learning](/companies/trainloop) [Wildcard W2025 • Active • 2 employees [...] Expected Parrot helps companies simulate their customers with AI agents to explore pricing, product, marketing, communications and other scenarios at scale. Our open-source library and no-code web app let you design custom agent personas and conduct interviews and surveys with them using LLMs of your choice to generate results and reports. Everything is cached and reproducible, and you can send the same surveys to human respondents to validate results in the same interface. generative-ai

• Top 30 American AI Companies & Startups [2026] | StartUs Insights

  Location: Menlo Park, CA Notable News: Meta landed USD 29 billion to finance its large-scale AI data center buildout across the US. Technology company Meta provides an open-source LLM platform. The company’s LLM enables the comprehension and generation of natural language for a range of applications like image generation, accurate information provision, and inquiry resolution. [...] Patronus AI ensures measurements are accurate and in line with human judgment. It provides comparisons and trace summaries for LLM systems and facilitates scalable iterative development. The startup raised USD 17 million in Series A funding led by Notable Capital with participation from Lightspeed Venture Partners and Datadog. ### 27. Resolve AI – Autonomous Software Development Location: San Francisco, CA Funding: USD 35 million in Seed Funding [...] The company’s technology orchestrates data storage, compute power, and pretrained models within AWS infrastructure. This allows developers to integrate AI capabilities directly into business workflows. AWS is doubling its investment in the AWS generative AI innovation center, with USD 100 million to continue innovating alongside customers. ### 6. Meta AI – Open-Source LLM

• Top LLM companies to watch in 2026

  AI21 Labs, based in Tel Aviv, is a standout among top AI LLM companies for its focus on language models that support advanced reading comprehension, reasoning, and content generation. The company’s flagship models, such as Jurassic-2, power a range of writing and knowledge-based applications for enterprises. [...] Cohere is a Toronto-based LLM AI company specializing in enterprise-ready language models with a focus on retrieval-augmented generation (RAG), multilingual capabilities, and private deployments. Their platform helps businesses build powerful AI systems for semantic search, summarization, document classification, and conversational AI. [...] If you’re looking for full control without reinventing the wheel, Mistral makes a strong case. It’s AI that doesn’t hide behind closed doors. ## Aleph Alpha Based in Germany, Aleph Alpha is gaining serious ground in the world of LLMs—especially among organizations that care about data sovereignty and compliance. Unlike many of its global peers, Aleph Alpha builds AI with European values and regulations in mind.

• Top LLM Companies to Watch in 2026 for AI Growth - Openxcell

  Addepto builds ContextClue, an AI-powered knowledge base that handles PDFs, images, SQL databases, and spreadsheets through one interface. They’ve delivered LLM-based data analysis engines for ROI calculations and AI-driven document generation for aviation companies. Their focus on responsible AI means robust solutions without ethical headaches. ### 7. Space-O Technologies [...] Solulab’s portfolio speaks volumes: Gradient (AI image and text generation platform), InfuseNet (data empowerment platform with GPT-4 and FLAN integration), and Digital Quest (AI-powered travel ChatGPT). They specialize in enabling LLMs to understand industry-specific language and nuances. ### 3. InData Labs [...] 1. How LLM Expertise Transforms Businesses?;) 2. Top 10 LLM Companies to Watch in 2026;) 3. 1. Openxcell;) 4. 2. Solulab;) 5. 3. InData Labs;) 6. 4. MindInventory;) 7. 5. Q3 TechnologiesAddepto;) 8. 6. Addepto;) 9. 7. Space-O Technologies;) 10. 8. Signity Solutions;) 11. 9. Master of Code Global;) 12. 10. Emizen Tech;) 13. How to Choose the Right LLM Development Company;) 14. Technical Expertise;) 15. Industry-Specific Understanding;) 16. Scalability and Performance;)