databricks

Browser AI assistant for reading, analyzing, and generating text within web pages

A desktop work log tool that captures thoughts and decisions while maintaining a knowledge graph.

Road maintenance robot that automatically detects and seals asphalt cracks

PDF information processor that extracts content to generate summaries, tables of contents, and answer targeted questions.

An academic writing assistant platform supporting reading, writing, citation, and multilingual content generation.

Audio and video transcription tool that converts content into summaries, mind maps, and key Q&A.

Sequel is an AI-powered platform that simplifies database operations through natural language queries, eliminating the need to write SQL code. It translates English questions into optimized SQL queries, executes them on connected databases, and instantly returns visualized results. Supporting mainstream databases such as PostgreSQL and MySQL, Sequel enables developers, analysts, and business users to efficiently explore and analyze data without technical barriers. Its AI understands database structures, delivering precise insights and recommendations to accelerate decision-making and improve accuracy.

EOS Product X offers a comprehensive AI-powered satellite data analytics solution designed to deliver actionable insights for agriculture, forestry, and land management. The platform integrates high-resolution satellite imagery, deep learning algorithms, and geospatial tools to help users monitor crop health, assess land use, and predict environmental trends. A suite of diverse tools supports decision-making processes, optimizes resource management, and enhances operational efficiency for both enterprises and researchers.

Modal is a cloud function platform designed for AI, machine learning, and data teams, enabling the execution of compute-intensive applications without the need to manage underlying infrastructure. The platform supports fast, serverless execution of Python code with automatic elastic scaling and GPU support, allowing developers to seamlessly deploy inference endpoints, batch jobs, and scheduled tasks. Modal simplifies the configuration complexity of container environments, hardware requirements, and persistent storage through an intuitive Python interface, charging only for actual compute time used. Deeply integrated with Oracle Cloud Infrastructure, it delivers high performance and cost-efficiency for large-scale AI workloads.

Cloudera is a leading hybrid data platform designed to deliver unparalleled flexibility and control for data management, analytics, and security across multi-cloud and on-premises infrastructures. The platform integrates data engineering, data warehousing, streaming processing, and AI capabilities into a unified ecosystem, accelerating data-driven decision-making and AI innovation. Cloudera enables scalable, secure, and governed data workflows, empowering enterprises to easily build and operate machine learning models, real-time analytics, and mission-critical applications.

Airbyte is an open-source data integration engine designed to simplify and accelerate data integration processes. It supports over 600 connectors, enabling businesses to efficiently synchronize data from databases, SaaS applications, APIs, and other sources to data warehouses, data lakes, and similar storage solutions. With a flexible architecture, Airbyte is compatible with both self-hosted and cloud deployments, making it suitable for small teams and large enterprises alike, while meeting scalable, secure, and customizable data pipeline requirements. Its capabilities in unstructured data integration, support for vector databases, and compatibility with generative AI workflows make it a core tool for modern data-driven AI applications.

Precip AI leverages advanced AI models and multi-source data fusion—including radar, satellite, and rain gauge networks—to deliver high-precision, real-time, site-level rainfall measurements. Unlike traditional weather forecasting, Precip AI provides high-resolution precipitation data based on actual observations, enabling users to accurately monitor accumulated rainfall at any location. This technology serves industries with high meteorological demands such as agriculture, engineering, logistics, and outdoor events, helping improve decision-making efficiency and operational performance.