Delphina is an enterprise data platform built as an AI-managed context layer for business analytics. It connects to data warehouses and internal documentation to build a canonical knowledge base of a company’s metrics, definitions, and rules. Users can then query that data in plain English, generate automated workflows, and build interactive data applications grounded in […]
Data & Analytics
AI that works on structured data: SQL generation, BI augmentation, anomaly detection, data pipeline automation, and natural language querying of databases.
10 tools selected.
Secoda is a data catalog and governance platform built for data teams managing complex metadata across their stack. It combines cataloging, lineage, observability, and governance into one workspace. The platform connects to warehouses, databases, ETL tools, and BI platforms to extract metadata, not raw data. Secoda targets data engineers, analysts, and governance teams at mid-size […]
Zenlytic is an AI-powered business intelligence platform built around Zoë, a conversational AI data analyst. It gives business teams self-serve access to company metrics through natural language questions, instead of requiring SQL knowledge or manual dashboard requests to a data team. It is built by Ex Quanta, Inc. for organizations with structured enterprise data. The […]
Chalk is a real-time feature store and AI data platform built by Chalk AI. It helps data science and ML engineering teams define, compute, and serve features for machine learning models and, increasingly, AI agents. The platform targets teams that need both offline training data and low-latency online inference from a single codebase. Chalk originally […]
Coalesce is a data operations platform built by Coalesce Automation, Inc. It combines data transformation, cataloging, and quality monitoring into one system. The platform runs natively inside cloud data environments such as Snowflake, Databricks, Google BigQuery, and Microsoft Fabric. The tool targets the fragmentation common in modern data stacks. Teams often stitch together separate tools […]
Soda is an AI-powered data quality and observability platform built by Soda Data Inc. It detects, explains, and helps resolve data quality issues before they reach downstream systems. The platform targets missing, duplicated, or invalid records that degrade analytics and machine learning models. Engineers can run Soda as code through CLI and Git, while business […]
Anomalo is a data quality monitoring platform built for enterprise data teams. It uses an “Agentic Suite” of AI agents and a proprietary profiling engine to detect anomalies and inconsistencies across structured and unstructured datasets. Users do not need to write SQL or configure manual rules to run monitoring. The platform addresses the problem of […]
Hex is a collaborative data workspace made by Hex Technologies Inc, founded in 2019. It combines SQL, Python, and no-code cells inside notebooks, alongside business intelligence style reporting, in a single browser-based product. The platform is organized around several modules. Notebooks handle interactive analysis, a BI layer supports dashboards and data apps, Context Studio manages […]
Wren AI is an open-source business intelligence assistant that converts natural language questions into SQL queries. It is built for data teams and non-technical stakeholders who need database access without writing code. The project is maintained by Wren AI Inc. and hosted at getwren.ai. The tool addresses a core problem with standard text-to-SQL engines: inaccurate […]
Defog.ai is an enterprise text-to-SQL platform that converts plain English questions into optimized database queries. It connects to Postgres, Snowflake, SQL Server, and MySQL. Non-technical users can retrieve structured data without writing SQL or waiting for analyst support. The platform is powered by SQLCoder, Defog’s fine-tuned open-source model. SQLCoder has surpassed 2.2 million total downloads […]