AI Data Transformation and Governance

Power Your AI-Ready Data Team

Scale with Governed AI Data Engineering.

  • AI for Data Engineering
    Predictable, governed builds with standardized code.
  • AI Data Governance
    Automated lineage, docs, ai data catalog, and policies.
  • SQL AI Copilot
    Generate, debug, and optimize SQL with full context.
  • AI-Assisted Migration
    Modernize transformations faster—fewer manual rebuilds.

Book a Demo

Modernize with AI for 70% faster delivery.

Book a Demo – See it in Action

The AI-Ready Data Foundation

Scalable design, governed metadata, and copilots that accelerate delivery.

Development at AI Scale

Built for Snowflake, Databricks, BigQuery, Redshift, and Fabric for reliable, governed builds.

Metadata Governance

Lineage, docs, and AI-driven catalog keep assets discoverable, governed, and trusted.

Framework and Copilots

Reusable patterns and agentic assistants standardize AI-generated code and turbocharge data teams.

Get Started Today with AI-Assisted Migrations

Fast Pipeline  
Migration

AI parses legacy code and accelerates pipeline rebuilds with full lineage.

Accelerated Speed to Value

Shrink migrations from quarters to weeks—unlock faster ROI.

Future-Proofed Modernization

Automated cataloging, governance, and docs for an AI-ready foundation.

Book a Demo - See it in Action

Trusted by Innovative Data Teams

Full Story
  • Insurance
  • 1,200+ employees
"Coalesce’s streamlined development makes iteration cycles much faster. It’s easy to troubleshoot, apply changes and refactor models."
10x
higher data pipeline
development delivery
2 days
to move from idea
to actionable data
Tech Stack
Full Story
  • Retail
  • eCommerce
“It’s just the sheer performance of Coalesce. Our nightly batch processes are 75% faster. We also now have everything in Git, giving us version control and branching. And our deployments are 12x faster.”
88
pipelines migrated from legacy system in 4 months
75%
faster nightly batch processing
Tech Stack
Full Story
  • HealthTech
  • 2900+ employees
“With Coalesce Catalog, adoption has taken off—at rollout we hit 600 active users. It delivers more value without more investment, and people are finally contributing—commenting, documenting, and keeping the catalog alive, instead of our team carrying it alone.”
6x
higher user adoption on initial rollout compared to previous solution
60+
teams engaging with data catalog
Tech Stack
Full Story
  • Fitness
  • 10,000+ Employees
“We now understand the full customer lifecycle. Before Fivetran and Coalesce, that wasn’t something we could even consider. We’re now able to do such things as incorporate geospatial marketing to help our expansion team decide where to look for possible new gym locations.”
80×
faster to bring raw data into staging
10×
faster insights
Tech Stack
Full Story
  • Equipment rental
  • 8,500+ employees
“There are a lot of tools that promise that they can make Data Vault easier, but Coalesce is in the sweet spot of control and ease of use.”
10x
faster Data Vault
development
1,200
live queries a day
delivering real-time insights
Tech Stack
Frequently Asked Questions

AI for data engineering and AI ETL uses copilots and agents to accelerate pipeline builds, migrations, and optimizations. Coalesce applies metadata-driven execution so pipelines are predictable, governed, and scalable—reducing manual coding while preserving standards and lineage.

Governance is embedded by design. Every change in Coalesce preserves lineage, applies RBAC, and maintains audit trails. AI-generated code is standardized, cataloged, and documented automatically—so assets stay trusted and compliant without governance as an afterthought.

Coalesce Copilot in Transform is the natural-language, agentic assistant for pipeline scaffolding, migration, and metadata-aware planning. The SQL Assistant in Catalog focuses on generating, optimizing, and modernizing SQL with AI-driven context. Together, they accelerate delivery while keeping work governed and safe.

Yes. Coalesce AI parses legacy code and rebuilds pipelines with full lineage in Snowflake, Databricks, Redshift, BigQuery, and Microsoft Fabric. Teams cut migration timelines from months to weeks, reduce rework, and modernize faster with a governed, AI-ready framework.