Yc startups building llm infrastructure

FiddleCube is a startup that participated in Y Combinator's W23 batch and focuses on building infrastructure for Large Language Models (LLMs) by helping developers fine-tune and deploy LLMs with synthetic data.

Massdriver is a startup that participated in the Y Combinator W22 batch and focuses on building infrastructure solutions tailored for AI and ML, which includes infrastructure for Large Language Models (LLMs).

Automat is a startup that participated in Y Combinator's W23 batch and focuses on building infrastructure for Large Language Models (LLMs) to enable robotic process automation.

Datasaur is a startup that participated in the Y Combinator W20 batch and focuses on building infrastructure for Large Language Models (LLMs) through its data labeling workforce management platform and LLM Labs feature.

Chalk is a startup that offers a toolchain for LLMs with features like vector embeddings, similarity search, and prompt engineering. It is also part of the Y Combinator program.

Query Vary is a startup that is part of the Y Combinator W22 batch and focuses on building infrastructure for Large Language Models (LLMs) by offering a complete test suite for designing, testing, and refining prompts systematically.

Plasticity is a startup that participated in the Y Combinator S17 batch and focuses on building infrastructure for natural language processing, which includes capabilities relevant to Large Language Models (LLMs) such as named entity recognition, part-of-speech tagging, and intent parsing.

Boundary is a startup that participated in the Y Combinator W23 batch and focuses on building infrastructure for Large Language Models (LLMs) through its BAML programming language and associated tools.

Activeloop is a startup that participated in the Y Combinator S18 batch and focuses on building infrastructure for AI, including tools that support the fine-tuning of Large Language Models (LLMs).