Databricks Data + AI Summit 2026
Launching Auraa The fastest path to AI-ready data on Databricks
June 15-18, 2026
Moscone Center, San Francisco
Booth #109
About Auraa
Auraa is the agentic data activation platform built exclusively on Databricks.
Covasant activates Auraa inside your Databricks environment to deliver trusted, governed, AI-ready data outcomes, autonomously. Auraa’s agents discover data sources, build bronze-to-silver pipelines, enforce quality, and help keep operations running with less manual engineering intervention.
You own the data.
You own the architecture.
You own the governance.
No 12-18 month implementation cycle.
No endless source onboarding backlog.
No pipeline code standing between your Databricks investment and business value.
Why Auraa? Why now?
Databricks is the most powerful data platform ever built. But buying Databricks and operationalizing it are two completely different things. Many enterprises stall after purchase. Teams spend months writing pipeline code, onboarding sources manually, chasing quality issues, and maintaining systems that keep breaking. The result: delayed AI initiatives, low platform activation, growing delivery backlogs, and Databricks value that takes too long to realize. Auraa closes that gap.
Covasant activates Auraa in your Databricks environment in 4 hours, with the first source onboarded in under 15 minutes. What traditionally takes 12-18 months of implementation effort can now move to value from day one - powered by agents that encode deep data engineering expertise. Auraa is the activation layer that makes Databricks work from day one.
What Auraa does
Scales engineering capacity - without adding headcount Auraa gives your data team the operational capacity of a Tier 1 consulting firm without requiring an army of engineers for implementation. Covasant delivers using Auraa, reducing the manual engineering load while your team stays focused on business outcomes.
Clears the backlog - and keeps it clear Every organization has a backlog of data sources waiting to be onboarded. Auraa turns source onboarding from a weeks-long engineering ticket into a conversational, agent-driven process - with the first source live in under 15 minutes.
Activates Databricks from day one Auraa runs natively on Databricks using Unity Catalog, Delta Lake, and Databricks Runtime, accelerating the path from platform investment to production-ready data, while extending Genie Code's capabilities with governed metadata, lineage, and 166+ tools via native MCP integration.
Enforces quality and governance from the start Auraa applies quality logic, schema handling, governance-aware controls, lineage, and auditability so teams can build confidence in the data powering business decisions and AI use cases.
Built on Databricks. Built to make data AI-ready.
See Auraa live at Booth #109 and discover how Covasant turns raw sources into trusted, governed, AI-ready data, autonomously.
What you’ll see:
- 4-hour Databricks activation
- Under-15-minute source onboarding
- Autonomous bronze-to-silver pipelines
- Unity Catalog governance from day one
- Less manual engineering
- Faster AI-ready data delivery
Leading up to DAIS: The Auraa Pilot Program
Covasant is opening a limited Pilot Program for Databricks customers ready to accelerate data activation and reduce implementation drag.
Pilot customers receive early access to Auraa through a Covasant-delivered engagement. Covasant activates Auraa inside the customer’s Databricks environment and delivers AI-ready data outcomes directly.
Details:
- 4 pilot spots
- 90-day commitment
Anchor customers will help shape the October release, including expanded self-healing operations and full Gold layer capabilities.
Limited pilot availability at DAIS 2026.
Reserve a meeting slot with our team for a strategic discussion.
Resource library
Blogs and White Papers:
- The Data Platform Built for Agents: Inside Auraa’s Architecture
- Genie Code Is the Hands. Auraa Is the Brain and the Rules
- Why Auraa Builds on Databricks - Not Around It
- Beyond Buttons and Prompts: How We Let AI Agents Build Their Own UI
- Reducing AI Agent Documentation Costs by 42x Without a Vector Database
- How We Made Databricks Apps APIs Fast Without Breaking Our Single Source of Truth
- Rethinking Data Engineering: What If Your Pipelines Were Driven by Data, Not Code?
- DeltaBus: A Lakehouse-Native Event Bus Pattern for Data Platforms
- Semantic Documentation Search for Agentic Platforms
- Auraa Semantic Flow: Transient, Data-Driven Interfaces for Agent-Human Collaboration
- Auraa, An Agentic Data Activation Platform for Databricks
- Auraa and Genie Code: Better Together - An Agentic Data Platform Meets Databricksʼ AI Coding Agent
- Auraa & Databricks: The Agentic Substrate for the Intelligent Lakehouse
- Rethinking Data Engineering: An AI-First, Metadata-Driven Platform for Databricks