# Aurasell Achieves 5x Faster AI Sales with Lakehouse Technology

> With Aurasell's new integration of Databricks' Lakehouse//RT, sales automation is now five times faster and seven times cheaper, empowering AI agents to efficiently navigate the revenue cycle with real-time data.

**Source**: databricks.com | **Published**: 2026-11-07 | **Type**: case_study

## Key Facts

- Aurasell's AI agents handle 300-400 queries/sec, showcasing the need for real-time data in sales.
- Switching to Lakehouse//RT cut costs 7x, revealing vulnerabilities in traditional data warehousing.
- Millisecond latency enhances agent performance, indicating a competitive edge in AI sales technology.
- 80% of queries now run on a single platform, highlighting strategic consolidation for efficiency gains.
- Aurasell's model emphasizes being data-first for AI success, indicating a shift in market expectations.

## Summary

\## Summary
Aurasell, an AI-native go-to-market platform, faced challenges with slow query times and high costs due to traditional data warehouses. By implementing Lakehouse//RT from Databricks, Aurasell achieved a 7x reduction in real-time serving costs and improved query response times to 50-300 milliseconds, significantly enhancing the performance of its AI sales agents.

\## Background
Aurasell operates in the sales technology industry, providing a platform that automates various sales processes including prospecting, pipeline management, and deal coaching. Prior to deploying Lakehouse//RT, Aurasell relied on traditional data warehouses that struggled to support the high volume of queries generated by its AI agents.

\## Challenge
The primary challenge Aurasell faced was the inability of traditional data warehouses to handle the real-time data needs of its AI agents. With agents generating 300 to 400 queries per second, the average response time of one to two seconds led to slow dashboards and stalled agent conversations, ultimately hindering sales performance.

\## Solution
Aurasell implemented Lakehouse//RT to replace its traditional data warehouse serving layer. This solution allowed the company to run all workloads—data ingestion, AI model routing, analytics, and real-time serving—on a single platform with a unified data copy. The transition required no data migration or new infrastructure, enabling immediate testing and deployment.

\## Results
The deployment of Lakehouse//RT resulted in a 7x reduction in real-time serving costs by consolidating multiple warehouse clusters into a single cluster. Query response times improved significantly, now averaging between 50 to 300 milliseconds, compared to the previous one-to-two-second average. The overall agent experience became faster, with in-product dashboards loading without lag.

\## Key Insights
Aurasell's experience highlights the importance of having a robust data foundation to support AI initiatives. By eliminating data silos and ensuring real-time access to a single source of truth, organizations can enhance the performance of AI applications and reduce operational costs.

\## Customer Testimonial
“To be an AI-first company, you have to be a data-first company. If you’re not good at data, you can never be a good AI company.” — Srinivas Bandi, Co-founder and CTO of Aurasell.

## Entities

- **Companies**: Aurasell, Databricks
- **Products**: Lakehouse//RT
- **Technologies**: AI, data warehouse, Lakehouse
- **People**: Ejaz Veljee, Srinivas Bandi

## Key Concepts

AI sales agents, data foundation, real-time data, Lakehouse architecture, cost reduction, data governance, query performance, AI-first strategy

## Definitions

- **Lakehouse**: A unified data platform that combines the capabilities of data lakes and data warehouses, allowing for real-time analytics and data management.
- **AI-first company**: A business that prioritizes artificial intelligence in its operations and decision-making processes, relying heavily on data to drive AI initiatives.
- **Unity Catalog**: A data governance solution that provides a unified view of data across various sources, ensuring consistency and accessibility for analytics.
- **real-time serving**: The ability to deliver data and analytics instantaneously, allowing for immediate insights and decision-making.
- **data silos**: Isolated data repositories that hinder data sharing and integration, often leading to inconsistencies and inefficiencies.

## Use Cases

- Prospecting potential buyers
- Managing sales pipeline
- Generating quotes
- Coaching sales representatives
- Real-time data querying
- Analytics and data discovery

## Frequently Asked Questions

**What is Lakehouse//RT?**

Lakehouse//RT is a real-time performance solution that allows for high concurrency and low-latency queries directly within the Databricks Lakehouse. It eliminates the need for separate data serving layers.

**How does Aurasell improve sales processes?**

Aurasell enhances sales processes by providing AI agents that automate tasks such as prospecting, pipeline management, and deal closure. This leads to increased efficiency and faster decision-making.

**What are the benefits of using Lakehouse//RT?**

The benefits of Lakehouse//RT include a 7x reduction in serving costs, millisecond latency for queries, and the ability to handle hundreds of concurrent queries without lag. This significantly improves the overall user experience.

**Why is data governance important for AI?**

Data governance is crucial for AI because it ensures that data is consistent, accurate, and accessible. Without proper governance, AI models may produce unreliable results due to data inconsistencies.

**What challenges do traditional data warehouses face?**

Traditional data warehouses struggle with high costs and slow query performance, especially under heavy loads. They often require multiple clusters to handle concurrent queries, leading to inefficiencies and increased operational costs.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/aurasell-achieves-5x-faster-ai-sales-with-lakehouse-technology)
- [Original source](https://www.databricks.com/de/customers/aurasell)
- [Databricks](https://welcome.ai/company/databricks): Featured company

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Source: Welcome.AI | https://welcome.ai/content/aurasell-achieves-5x-faster-ai-sales-with-lakehouse-technology