Covasant White Papers | Enterprise AI Research & Technical Insights
The research that backs everything we claim.
Depth over sound bites. Original research, deployment analysis, and practical frameworks for enterprise AI leaders who need evidence.
White Papers
Configurable Organization Meets the Lakehouse
This whitepaper documents Covasant Partyline, a lightweight, durable coordination layer for independent AI agent fleets built on Databricks Lakebase, and the six requirements no chat tool, orchestration framework, or classic distributed system satisfied at once.
-
Most multi-tenant data platforms enforce isolation through row-level filters, query interceptors, and access-control middleware.
DeltaBus: A Lakehouse-Native Event Bus Pattern for Data Platforms
Most data platforms built on the Lakehouse add a separate message queue. Kafka, SQS, Azure Event Hubs. It’s 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.
Semantic Documentation Search for Agentic Platforms
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.
Auraa Semantic Flow: Transient, Data-Driven Interfaces for Agent-Human Collaboration
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 takes hours on the backend, the interface takes days.
Auraa, An Agentic Data Activation Platform for Databricks
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.
Auraa and Genie Code: Better Together
Genie Code writes SQL and Python, builds Lakeflow pipelines, debugs failures, and monitors production workloads.
Auraa & Databricks: The Agentic Substrate for the Intelligent Lakehouse
Databricks gives you one of the most capable data platforms available. Delta Lake, Unity Catalog, serverless compute, Lakeflow pipelines. The infrastructure is solid.
Rethinking Data Engineering: An AI-First, Metadata-Driven Platform for Databricks
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.
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.
Building a strong foundation for data observability helps you identify issues early, maintain data integrity, and create AI systems you can truly trust.
No whitepapers found in this category yet.