AIVIQ Launches AI-Powered Native App on Snowflake to Transform Investment Data Analytics

Quick Summary

Aiviq has launched an AI-powered Native App on the Snowflake Marketplace to provide investment managers with instant access to AUM, Flow, and Revenue analytics. This integration allows firms to run complex data queries within their secure Snowflake environment, eliminating data movement and reducing setup costs by approximately £125,000.

How Does the Aiviq Native App Solve Data Silo Challenges?

The Aiviq Native App eliminates the need for complex, multi-stage data pipelines by bringing advanced analytics directly to where the data resides. By operating natively within the Snowflake AI Data Cloud, investment managers can bypass the traditional 12-15 week setup period required for internal IT builds. This "Connect, Report, Analyse" framework ensures that joint customers gain immediate visibility into their most critical metrics.

• Instant connectivity to core AUM, Flow, and Net Revenue data.
• Mastered client datasets covering legal entities, agreements, and financial terms.
• Zero data movement, maintaining high security and compliance standards.

What AI Capabilities Are Available for Investment Managers?

Leveraging Streamlit and Cortex Agent functionality, the app introduces natural language querying to the investment management workflow. This allows users to generate automated dashboard reports simply by asking questions, underpinned by a purpose-built semantic model that ensures accuracy. The integration of Aiviq Intelligence features directly into the Snowflake Marketplace enables firms to power over 160 enterprise use cases without manual configuration.

• Natural language processing for intuitive data exploration.
• Automated dashboard generation for real-time business intelligence.
• Semantic model mapping to ensure business logic remains consistent across queries.

What Are the Tangible Business Results for Asset Managers?

The primary benefit of this launch is the massive reduction in overhead for data engineering teams. By utilizing a pre-configured reporting layer, firms can save an estimated £125,000 in build costs. Furthermore, the solution is accessible from day one, providing immediate value to firms like RLAM that require enterprise-grade data clarity to drive corporate strategy and sales enablement.

• £125,000 savings in one-off warehouse and reporting build costs.
• 12-15 week reduction in traditional implementation timelines.
• 80% of Aiviq clients already utilize Snowflake as their strategic data destination.

FF NEWS TAKE:

This partnership between Aiviq and Snowflake significantly moves the needle for asset management data infrastructure. By removing the "data tax" of long implementation cycles and high engineering costs, Aiviq is making AI-powered Native App capabilities accessible to the middle office. In an industry where AUM and Flow analytics are the lifeblood of strategy, the ability to query complex datasets via natural language within a secure cloud environment is a genuine competitive advantage.