As an industry-leading artificial intelligence application construction infrastructure platform, AIFS covers the training, fine-tuning, compression, deployment, inference and monitoring of large models as well as the entire life cycle of small models. It provides a set of tools for data scientists, application developers, and business experts so that people in different roles can collaborate with each other to easily process and use data to develop, train, and deploy models of any scale.

DataCanvas Alaya is a self-developed "general + industry" white box large model matrix by DataCanvas. It provides a series of pre-trained large models with different configurations and parameters and has the industry's cutting-edge capabilities and technologies. The Alaya-7B series foundation and chat models in the matrix are open source large models.MORE

The LLMOps tool chain is designed for training and using large models. It covers the entire life cycle of large models from development to deployment, provides data scientists and application developers with a complete set of tools so that they can easily process data and use it for development, training, and deployment of models at any scale.MORE

DataCanvas APS (AI Infrastructure Platform Service) provides data scientists, application developers and business experts with a set of tools to process multi-source heterogeneous data autonomously and easily, develop, train and deploy machine learning and deep learning models at any scale quickly and efficiently, to open up the last mile of enterprise-level "large + small" model applications.MORE

DataCanvas BAP is a full-process, one-stop, low-threshold automatic modeling auxiliary decision-making platform specially built for business scenarios. Based on the feature library and the scenario library as the carrier, it builds feature data and algorithm templates for business scenarios. Through independent and convenient operations, users can perform model training, model prediction, analyze prediction results, and apply them to business scenarios such as marketing, risk control, and operational decision-making.MORE

DAT is an automated machine learning tool stack independently developed by DataCanvas, consisting of a series of interrelated tools used to complete different machine learning tasks. Its aim is to enhance the technical capabilities of various machine learning platforms that users already have, reduce the threshold for enterprises to use AI and other data science technologies, and comprehensively release the ability of automated machine learning (AutoML) to various fields. MORE

YLearn is the world's first open-source software independently developed by DataCanvas to handle the complete process of causal learning in a one-stop manner. It is the first to solve the five key problems in causal learning, including causal discovery, causal effect identification, causal effect estimation, counterfactual inference, and policy learning.MORE

DataPilot is a new generation data architecture tool product developed by DataCanvas based on large models, covering a series of core components from vector databases, data analysis agent, database synchronization systems to real-time decision-making platforms. Fully utilize the general text understanding and generation capabilities of the DataCanvas Alaya model, as well as fine-tuning and optimization in the data field, to help users achieve intelligent and automated data integration, governance, modeling, computation, querying, analysis, and machine learning modeling throughout the entire process.

TableAgent is a LLM agent powered by DataCanvas Alaya Foundation Model and support privatized deployment of enterprise-level data analysis. TableAgent is capable of strong intention understanding capabilities，AI modeling capabilities and data insights capabilities. After understanding user’s intentions, TableAgent autonomously utilizes advanced modeling technologies such as statistics, machine learning, and causal inference to uncover the value of given data, and further provide insightful analysis and action guidance.MORE

DingoDB is a distributed real-time multimodal database that combines the characteristics of data lakes and vector databases, supporting the storage of multimodal data types (Key Value, PDF, audio, video, etc.). At the same time, it uses structured and unstructured fusion analysis and calculation technology to achieve efficient management and retrieval of multimodal data.MORE

DataCanvas RT is an enterprise level platform product that extends ETL, business models, machine learning, artificial intelligence, and visualization to real-time. With a real-time computing engine as the core, it integrates modules such as data access, indicator management, rule management, and data services. It supports the development, configuration, and operation monitoring of real-time computing jobs, providing one-stop services for real-time intelligent business decision-making.MORE

The DDS real-time data synchronization system is a high-performance CDC platform for real-time data synchronization, which can quickly obtain real-time data from the source business system. DDS is positioned in the segmented field of data synchronization, transmission, and migration in the data industry, effectively connecting relevant upstream and downstream systems, helping users achieve data asset management, data sharing, data fusion, data circulation, and data value-added.