Launching
Auraa
The fastest path to AI-ready data on Databricks
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.
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
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.
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.
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.
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.
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.
pilot spots
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
Databricks Synced Tables didn't hold up for 35+ governance tables. Here's how a single Governance Writer gave Auraa fast reads without a second...
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Databricks Genie Code writes the code. Auraa adds governance, versioned metadata, and multi-tenant isolation. See how the two work together as one...
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How Auraa Semantic Flow renders human-in-the-loop AI agent interactions identically in web and chat from one JSON descriptor, no new frontend code...
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How Auraa Semantic Flow renders human-in-the-loop AI agent interactions identically in web and chat from one JSON descriptor, no new frontend code...
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How Covasant Engineering built semantic documentation search for AI coding agents at $2–10/month using only Databricks SQL Warehouse,...
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Agentic AI is in production, but is your governance ready? Explore visibility, control, and accountability gaps, plus six principles every enterprise...
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What if data pipelines were driven by data, not code? Learn how Auraa's metadata-driven, AI-first approach replaces 6-month builds with hours...
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Most multi-tenant data platforms enforce isolation through row-level filters, query interceptors, and access-control middleware.
Download the white paper
Most data platforms built on the Lakehouse add a separate message queue. Kafka, SQS, Azure Event Hubs. It’s an another cluster to manage, separate billing line and another governance gap, because events flowing through an external bus exist completely outside your Unity Catalog boundary.
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Why Covasant replaced Kafka with DeltaBus, an event bus built entirely on Delta Lake and Change Data Feed: at-least-once delivery, permanent...
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How Auraa enforces multi-tenant isolation by addressing instead of row-level security filters, using tenant-scoped Delta paths that can't be...
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AI coding agents are only as useful as the knowledge they can access. When an agent hits an unfamiliar question how tenant isolation works, where a data contract is defined, what the full authentication flow looks like it falls back to keyword search.
Download the white paper
Every new agent capability your team ships eventually runs into the same constraint: the frontend. Building the review page, wiring state management, handling confidence scores and approval gates for every agent feature that takes hours on the backend, the interface takes days.
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Most enterprise data platforms today were built for humans, UIs, notebooks, scheduled jobs. Adding an AI copilot on top doesn't change the architecture underneath. The agent suggests.
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YGenie Code writes SQL and Python, builds Lakeflow pipelines, debugs failures, and monitors production workloads.
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Databricks gives you one of the most capable data platforms available. Delta Lake, Unity Catalog, serverless compute, Lakeflow pipelines. The infrastructure is solid.
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Auraa is Covasant’s Databricks-native, agent-driven data platform that automates ingestion, data quality, governance, and analytics across the Lakehouse through a modular suite of components orchestrated by AI agents.
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Your data platform has one job: be the single source of truth. But as your teams build more on top of it, APIs, AI agents, real-time applications, a quiet tension emerges.
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Auraa delivers governed, AI-ready Databricks lakehouses faster and at significantly lower cost than traditional implementations...
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