Coalesce

AI-powered data catalog that grounds human and AI decisions in trusted context, enabling agents and team members to discover data, understand definitions, and work from a single source of truth.

AI-powered data catalog that enables both humans and agents to discover, understand, and work from unified business and technical metadata with built-in lineage and ownership tracking.

AI-powered assistant that helps data teams assess data trustworthiness and simplify complex analysis. Provides natural language capabilities for navigating data management workflows.

Pre-built, production-ready packages for deploying and operationalizing LLMs within data pipelines. Enables integration of AI models across platforms.

Framework for building and integrating data engineering agents with Claude Skills that can automate data workflows, build pipelines, and execute playbooks within governed guardrails.

Unified data quality testing and monitoring platform with Scout agent integration that detects issues before production, provides context-aware triage, and proposes code-based fixes.

AI-powered data transformation and cataloging platform that automates data transformation workflows and generates metadata and documentation using natural language search.

Unified data quality and testing platform with shared strategies and definitions, enabling automatic detection, root cause analysis, and context-driven incident resolution.

An AI agent that automatically triages data quality issues, detects problems before they reach production, and proposes code-based fixes within the platform's governance model.

Code-first, metadata-driven data pipeline development tool that enables AI agents and engineers to build, test, and deploy data transformations 10x faster with unified governance.