Yurts Technologies
Series B in 2024
Yurts is a Generative AI platform designed for enterprise use. Its mission is to help individuals connect with their best work by revolutionizing knowledge management and enterprise processes at scale through the combination of Large Language Models (LLMs) and practical GenAI applications.
Unstructured
Series B in 2024
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.
Yurts Technologies
Series A in 2023
Yurts is a Generative AI platform designed for enterprise use. Its mission is to help individuals connect with their best work by revolutionizing knowledge management and enterprise processes at scale through the combination of Large Language Models (LLMs) and practical GenAI applications.
Unstructured
Series A in 2023
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.
Coqui is a startup focused on advancing open speech technology for a wide range of applications. The company has developed an automatic speech recognition engine that facilitates the creation of text-to-speech systems, interactive voice interfaces, smart assistants, and tools for enhancing accessibility. Its engine is designed with performance optimizations that ensure consistent low latency and efficient memory utilization, regardless of the length of audio being transcribed. This allows developers to integrate Coqui's technology into their systems without the need for extensive fine-tuning, making it a versatile solution for various speech-related applications.
Meilisearch
Series A in 2022
Meilisearch develops an open-source search engine API platform. It offers fast, customizable searching and indexing capabilities, utilizing algorithms and natural language processing for relevant results.
Yurts Technologies
Pre Seed Round in 2022
Yurts is a Generative AI platform designed for enterprise use. Its mission is to help individuals connect with their best work by revolutionizing knowledge management and enterprise processes at scale through the combination of Large Language Models (LLMs) and practical GenAI applications.
Jina AI is a Beijing-based company specializing in neural search solutions powered by artificial intelligence and deep learning, which was founded in 2020. The company offers a cloud-native search framework designed for enterprises and developers, facilitating the management and deployment of various data types. Jina AI's Search Foundation features innovative components such as Embeddings, Rerankers, and Small Language Models, enabling users to develop advanced generative AI and multimodal search applications. Its open-source approach allows for flexibility and scalability, empowering businesses to harness the full potential of their data efficiently.