Our AI-accelerated Databricks Lakeflow framework. It gives you the speed of vibe-coding, with the guardrails of traditional engineering. LakeForge is designed for teams building dozens or hundreds of pipelines on Databricks, where consistency, structure, and long-term operability matter as much as speed.

A coordinated team of AI agents that build LakeForge pipelines the right way. Each agent handles a specific part of the engineering workflow - designing, checking, and building pipelines - so best-practice delivery becomes fast, consistent, and reliable.

Constellation shows how data flows from source to outcome, how assets depend on each other, and how they’re used in practice. Teams can understand what already exists, what it means, and what impact changes will have before new pipelines are designed or decisions are made.

LakeForge MDM runs directly inside your Databricks environment, giving you a governed system for managing the data everything else depends on. Reference data, hierarchies, and golden records are owned, versioned, and controlled, not rebuilt downstream in every pipeline, dashboard, or model.

Our ready-to-deploy Databricks native LLMOps platform solution that delivers results on day one, while giving you the enterprise controls to scale safely. With proven impact, one organisation cut processing time by >90%. It's designed for scale, with Unity AI Gateway centralising management and governance.

We align stakeholders, design your operating model, test with early users, and deliver a launch-ready workspace with training. Within three weeks, you gain a production-ready Genie Space, full operating model, and launch plan including enablement.