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 […]
Databricks
11 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 […]
Prowork by Parabola is an AI-native automation platform built for finance and operations teams. It replaces manual data reconciliation across ERPs, spreadsheets, PDFs, and vendor emails with automated, auditable workflows. The tool is aimed at operators and domain experts, not just engineers, who need to manage supply chain, accounting, and logistics processes. Users describe a […]
Cube is an agentic analytics platform built on a semantic layer, made by Cube Dev, Inc. It centralizes metric definitions, calculations, and security rules in one place. That governed model then feeds every analytics surface, from chat interfaces to dashboards to external AI tools. The platform targets two common problems. One is fragmented business logic, […]
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 […]
MindBridge, built by MindBridge Analytics Inc., is a financial risk oversight and auditing platform for enterprise finance teams, internal auditors, and external audit firms. It targets the coverage gap left by manual auditing and random sampling, which struggle to keep pace with high transaction volumes. The platform ingests 100 percent of transactional data from ERP […]
Daloopa is a financial data infrastructure platform built for public equity professionals, institutional investors, and AI developers. It provides structured, source-linked financial data covering more than 6,000 public companies worldwide, with up to 14 years of historical depth. The company is based in New York and was founded in 2018. The platform targets a specific […]
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 […]