Startups that use ai for data pipelines

Pandio is a startup that uses artificial intelligence in its operations, specifically for data pipelines. The company offers a cloud-native managed solution that simplifies data pipelines to harness the power of AI, and its AI orchestration platform allows for data access, automation, and learning. Additionally, Pandio's platform is built for AI and machine learning, offering streams, queues, and pub-sub in a single platform, which directly relates to data pipelines.

Alkymi is a startup that uses advanced AI, including machine learning and large language models, to automate and optimize data workflows. Their primary application of AI technology is related to transforming unstructured investment and financial data, which aligns with the concept of data pipelines.

Weave is a startup that uses AI to accelerate IND applications by weaving together data from multiple sources. The company's primary application of AI technology is related to data pipelines, as it focuses on finding, unifying, and navigating data efficiently.

Vue.ai is a startup that uses artificial intelligence in its operations, specifically for data hub management and real-time data integration, which are related to data pipelines.

Segmed is a startup that uses artificial intelligence in its operations, specifically for data pipelines related to medical imaging and healthcare research. The company provides a proprietary data platform, Insight, which offers access to millions of images and health records for clinicians, researchers, and AI developers. This platform allows users to build custom datasets and accelerates algorithm training and validation pipelines for AI and medical device companies.

Composable | Intelligent DataOps is a startup that uses artificial intelligence in its operations, specifically for data pipelines. The company provides a DataOps platform that includes AI-driven data pipelines, machine learning, and intelligent automation features for data orchestration, automation, and analytics.

Elementary is a startup (team size of 12, Y-Combinator batch W22) that operates in the B2B analytics sub-industry. The company uses AI to monitor and manage data quality, which is a critical aspect of data pipelines. Their product integrates with various data tools and provides real-time monitoring and alerts, indicating the use of AI in data pipeline operations.

Tellius is a startup that provides an AI-driven decision intelligence platform. The company uses artificial intelligence in its operations, specifically for data preparation, transformation, and analytics. This aligns with the primary application of AI technology related to data pipelines.

Lariat Data is a startup (Y-Combinator batch S21) that offers a Continuous Data Quality monitoring platform. The platform uses AI to automatically extract, store, and visualize data quality metrics, which is directly related to data pipelines.